{"pageNumber":"620","pageRowStart":"15475","pageSize":"25","recordCount":165252,"records":[{"id":70208866,"text":"70208866 - 2020 - Movements and habitat use of loons for assessment of conservation buffer zones in the Arctic Coastal Plain of northern Alaska","interactions":[],"lastModifiedDate":"2020-03-03T14:01:46","indexId":"70208866","displayToPublicDate":"2020-02-20T14:00:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Movements and habitat use of loons for assessment of conservation buffer zones in the Arctic Coastal Plain of northern Alaska","docAbstract":"Oil and gas development in the Arctic Coastal Plain, Alaska, may pose threats to wildlife. Management guidelines within the National Petroleum Reserve-Alaska dictate buffer zones for coastal wildlife habitat and for breeding and foraging sites of yellow-billed loons (YBLOs; Gavia adamsii), a species of conservation concern. However, few data exist to assess the value of these buffer zones for YBLOs or for sympatrically breeding red-throated loons (RTLOs; G. stellata) and Pacific loons (PALOs; G. pacifica). We evaluated movements of these loons on the Arctic Coastal Plain to understand: 1) seasonal timing; 2) marine habitat use; and 3) spatial characteristics of breeding home ranges. We then used those findings to evaluate current management strategies in the context of loon biology. Compared to RTLOs and PALOs, YBLOs nested on larger lakes, stayed on them longer, had larger home ranges, but less frequently used the marine environment in summer. During autumn, YBLOs and PALOs were located farther from shore than during spring or summer, whereas RTLOs used the marine environment similarly during all three seasons. Management buffers established for YBLO nesting areas corresponded well with nest site space use of all three species, suggesting cross-taxa applicability of current management guidelines for nesting habitat. However, the majority of loon locations on the Arctic Coastal Plain were outside of coastal buffer zones established to protect fish and wildlife habitat within the National Petroleum Reserve-Alaska. These findings can inform assessment of conservation buffer zones to mitigate anthropogenic disturbance to loons in Alaska.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e00980","usgsCitation":"Poessel, S.A., Uher-Koch, B.D., Pearce, J.M., Schmutz, J.A., Katzner, T., Douglas, D., von Biela, V.R., and Harrison, A., 2020, Movements and habitat use of loons for assessment of conservation buffer zones in the Arctic Coastal Plain of northern Alaska: Global Ecology and Conservation, v. 22, e00980, https://doi.org/10.1016/j.gecco.2020.e00980.","productDescription":"e00980","ipdsId":"IP-112268","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457650,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e00980","text":"Publisher Index Page"},{"id":437102,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UKHJ22","text":"USGS data release","linkHelpText":"Tracking data for Yellow-billed Loons (Gavia adamsii)"},{"id":437101,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NNN2XY","text":"USGS data release","linkHelpText":"Tracking Data for Pacific Loons (Gavia pacifica)"},{"id":372873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.240234375,\n 68.43151284537514\n ],\n [\n -140.80078125,\n 69.56522590149099\n ],\n [\n -142.646484375,\n 70.11048478105927\n ],\n [\n -153.6328125,\n 71.04552881933586\n ],\n [\n -156.97265625,\n 71.24435551310674\n ],\n [\n -162.158203125,\n 70.46620742226558\n ],\n [\n -166.55273437499997,\n 68.87935761076949\n ],\n [\n -166.904296875,\n 68.43151284537514\n ],\n [\n -163.65234374999997,\n 67.37369797436554\n ],\n [\n -141.240234375,\n 68.43151284537514\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":783735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":783742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":783740,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harrison, Autumn-Lynne 0000-0002-6213-1765","orcid":"https://orcid.org/0000-0002-6213-1765","contributorId":222669,"corporation":false,"usgs":false,"family":"Harrison","given":"Autumn-Lynne","email":"","affiliations":[{"id":40585,"text":"Migratory Bird Center, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":783741,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70208018,"text":"sir20205004 - 2020 - Stormwater quality of infrastructure elements in Rapid City, South Dakota, 2016–18","interactions":[],"lastModifiedDate":"2022-04-25T20:51:46.467441","indexId":"sir20205004","displayToPublicDate":"2020-02-20T12:18:20","publicationYear":"2020","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":"2020-5004","displayTitle":"Stormwater Quality of Infrastructure Elements in Rapid City, South Dakota, 2016–18","title":"Stormwater quality of infrastructure elements in Rapid City, South Dakota, 2016–18","docAbstract":"

As runoff flows over the land or impervious surfaces (paved streets, parking lots, and building roofs), it accumulates debris, chemicals, sediment, and other contaminants that can adversely affect water quality if the runoff discharge remains untreated. Pathogens, commonly measured using fecal indicator bacteria such as Escherichia coli, enterococci, or fecal coliform, are the most-frequent cause of water-quality impairment in rivers and streams in the United States. Rapid Creek originates in the western Black Hills area and flows east through Rapid City, South Dakota, to its mouth at the Cheyenne River. The water quality of Rapid Creek is important because the reach that flows through Rapid City is a valuable spawning area for a self-sustaining trout fishery, is actively used for recreation, and is a seasonal municipal water supply for the City of Rapid City. These uses (fishery, recreation, and water supply) are considered beneficial uses by the South Dakota Department of Environment and Natural Resources. Numerical criteria have been established for total suspended solids and Escherichia coli concentrations, among other water-quality constituents, for these beneficial uses. The objectives of this study were to improve the method by which fecal indicator bacteria and total suspended solids are quantified in the urban drainages within Rapid City and to provide information that helps identify origins of fecal indicator bacteria and total suspended solids. This information can be used in hydrologic models to estimate fecal indicator bacteria and total suspended solid loading from certain infrastructure elements in urban environments.

Stormwater samples analyzed for Escherichia coli, total suspended solids, specific conductance, and pH were collected in three drainage basin flowpaths within Rapid City: Jackson, Wildwood, and the Eco Prayer Park. Data-collection activities for this study focused on upgradient urban flowpath elements during rainfall events. This approach builds upon previous stormwater assessments that characterized the water quality in urban basin outlets near the downstream end of the stormwater flowpaths. Within each flowpath group, 4–6 sites were selected to represent the various infrastructure elements of the runoff process. These elements included roof downspouts, parking lots, street curbs and gutters, open channels, underground storm sewers, and stormwater ponds or best-management practice facilities.

In general, the concentrations of Escherichia coli and total suspended solids increased in the downstream direction for all flowpath sites. The wash-off process after the first flush is evident for total suspended solids and specific conductance; however, Escherichia coli concentrations did not necessarily follow the same pattern. Escherichia coli concentrations in the latter part of the runoff period were similar to or greater than the initial concentrations of the first set of samples. Stormwater-quality data were summarized by infrastructure type (roof downspout, parking lot, street curb, and channel/storm sewer) to provide information about approximate water-quality concentrations originating at the upper end of urban flowpaths. Escherichia coli and total suspended solid concentrations were lowest in samples collected from locations most isolated from human influence (roof downspouts); the median concentrations at these sites were 4 most probable number per 100 milliliters and 15 milligrams per liter, respectively. The delivery potential of fecal indicator bacteria and sediment from parking lots and street curbs was similar; median concentrations of Escherichia coli and total suspended solids were around 150–220 most probable number per 100 milliliters and 56–86 milligrams per liter, respectively. The downstream receiving channels and storm sewers where stormwater was aggregated typically contained the highest Escherichia coli concentrations (median was 1,800 most probable number per 100 milliliters), but the total suspended solid concentrations were similar to upstream elements in the flowpath (median was 69 milligrams per liter). The data collected from this study demonstrate that stormwater is contaminated with fecal indicator bacteria upon initial contact with impervious surfaces and highlight the importance of controlling the volume of stormwater discharges into receiving waterbodies via storage structures and pervious elements. Diluting stormwater with high concentrations of Escherichia coli with the receiving water’s (Rapid Creek) lower concentration of Escherichia coli is likely the primary mechanism for meeting the beneficial-use criterion threshold of 235 most probable number per 100 milliliters. Although total suspended solid concentrations in the upper parts of the basin (parking lots and street curbs) also begin at concentrations (56 to 86 milligrams per liter) above the beneficial-use criterion for Rapid Creek (53 milligrams per liter), current stormwater-control practices (storage ponds, swales, and wetlands) may be able to reduce suspended-sediment concentrations to meet this threshold.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205004","collaboration":"Prepared in cooperation with the City of Rapid City","usgsCitation":"Hoogestraat, G.K., 2020, Stormwater quality of infrastructure elements in Rapid City, South Dakota, 2016–18: U.S. Geological Survey Scientific Investigations Report 2020–5004, 24 p., https://doi.org/10.3133/sir20205004.","productDescription":"Report: vii, 24 p.; Appendix; Dataset","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108184","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":399627,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109723.htm"},{"id":372437,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System database","linkHelpText":"– USGS water data for the Nation"},{"id":372436,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5004/sir20205004_appendix1.csv","text":"Appendix 1","size":"12.8 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020–5004 Appendix 1"},{"id":372434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5004/coverthb.jpg"},{"id":372435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5004/sir20205004.pdf","text":"Report","size":"3.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5004"}],"country":"United States","state":"South Dakota","city":"Rapid City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.32,\n 44.0111\n ],\n [\n -103.1364,\n 44.0111\n ],\n [\n -103.1364,\n 44.125\n ],\n [\n -103.32,\n 44.125\n ],\n [\n -103.32,\n 44.0111\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-20","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoogestraat, Galen K. 0000-0001-5360-3903 ghoogest@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-3903","contributorId":167614,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen","email":"ghoogest@usgs.gov","middleInitial":"K.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780163,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208495,"text":"sir20195145 - 2020 - Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18","interactions":[],"lastModifiedDate":"2022-04-25T20:25:23.43755","indexId":"sir20195145","displayToPublicDate":"2020-02-20T12:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5145","displayTitle":"Hydrogeology and Interactions of Groundwater and Surface Water Near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18","title":"Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18","docAbstract":"

Groundwater levels and stream stage were monitored by the U.S. Geological Survey, in cooperation with the Friends of Herring River, at 19 sites in the Mill Creek Basin, a tributary of the Herring River in Wellfleet, Massachusetts, on outer Cape Cod, to provide baseline data prior to a proposed restoration of tidal flow to the Herring River estuary at the Cape Cod National Seashore. Tidal flow in the Herring River has been restricted by a tide-control structure since 1909. Baseline data are necessary to understand current conditions and provide information on water levels for comparison to future water levels under the proposed Herring River restoration, which includes restoration of salt marshes by enhancing tidal flow to the Herring River and construction of a tide-control structure on Mill Creek to prevent the flooding of upstream private properties, including a golf course.

Analysis of data collected during monitoring-well installation at eight locations on or near the golf course and Mill Creek, along with analysis of existing information, determined that parts of the study area are underlain by salt marsh deposits up to 18 feet (ft) thick. These marsh deposits are directly underlain by estuarine sediments, and adjacent upland areas are underlain by medium to very coarse sand. The freshwater lens on the golf course is 70 ft thick or more.

Groundwater levels at individual wells in the study area fluctuated by 1.3 to 2.6 ft during the study period (June 1, 2017, to June 14, 2018). Total precipitation during this period was 60.8 inches, about 10 inches greater than the long-term (2000–17) annual average (50.3 inches). Groundwater levels on Cape Cod generally were normal to above normal during the study owing to the higher than normal precipitation. Tidal amplitudes of groundwater levels caused by daily fluctuations at nearby tidal waterbodies (M2 tidal harmonic) were as large as 0.12 ft at a well 105 ft from the tidally restricted Herring River and as large as 0.06 ft at a well 575 ft from Wellfleet Harbor. Tidal fluctuations in groundwater levels were generally limited to areas about 1,500 ft from the nearest tidal waterbody. Under the initial proposed restoration, where mean tides would be maintained similar to current conditions, tidal fluctuations would be restored to parts of Mill Creek, and subsequent tidal fluctuations in groundwater levels could increase at some of the areas closest to the proposed tide-control structure, but the fluctuations would be less than about 0.06 ft in magnitude.

Regression models were used to describe the variability of daily mean tidally filtered groundwater levels and daily maximum stream stage in Mill Creek. Significant independent variables for the groundwater-level model included daily tidally filtered Wellfleet Harbor stage with a lag time of zero to 2 days, 7-day precipitation, the growing degree days (50 degrees Fahrenheit), and the quartile of groundwater levels relative to a long period of record at a nearby observation well.

Significant independent variables to predict the Mill Creek stage included daily mean groundwater levels in nearby wells, 7-day precipitation, growing degree days (50 degrees Fahrenheit), and a binary indicator of either a flooded or nonflooded condition on the golf course near Mill Creek. Flooding in Mill Creek occurred primarily when groundwater levels at nearby wells reached certain thresholds, when the precipitation in the preceding 7 days was at least 0.92–1.04 inches, and during the nongrowing season.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195145","collaboration":"Prepared in cooperation with the Friends of Herring River","usgsCitation":"Mullaney, J.R., Barclay, J.R., Laabs, K.L., and Lavallee, K.D., 2020, Hydrogeology and interactions of groundwater and surface water near Mill Creek and the Herring River, Wellfleet, Massachusetts, 2017–18: U.S. Geological Survey Scientific Investigations Report 2019–5145, 60 p., https://doi.org/10.3133/sir20195145.","productDescription":"Report: viii, 60 p.; Data Release; Project Site","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-103306","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437103,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P903HI9K","text":"USGS data release","linkHelpText":"Data on Models to Describe Groundwater Levels and Stream Stage near the Herring River, Wellfleet, Cape Cod, Massachusetts, 2017-2022"},{"id":399619,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109683.htm"},{"id":372270,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/centers/new-england-water/science/groundwater-and-surface-water-monitoring-mill-creek-watershed","text":"Project site","linkHelpText":"- Groundwater and Surface-Water Monitoring in the Mill Creek Watershed, Wellfleet and Truro, Massachusetts"},{"id":372269,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T167II","text":"USGS data release","linkHelpText":"Data on Tidally Filtered Groundwater and Estuary Water Levels, and Climatological Data Near Mill Creek and the Herring River, Cape Cod, Wellfleet, Massachusetts, 2017–2018"},{"id":372451,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5145/sir20195145.pdf","text":"Report","size":"6.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5145"},{"id":372267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5145/coverthb2.jpg"}],"country":"United States","state":"Massachusetts","county":"Barnstable County","city":"Wellfleet","otherGeospatial":"Mill Creek, Herring River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.06719589233398,\n 41.92412111618309\n ],\n [\n -70.04968643188475,\n 41.92412111618309\n ],\n [\n -70.04968643188475,\n 41.9377858285046\n ],\n [\n -70.06719589233398,\n 41.9377858285046\n ],\n [\n -70.06719589233398,\n 41.92412111618309\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, New Hampshire 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-02-12","noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485 klaabs@usgs.gov","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":222438,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin","email":"klaabs@usgs.gov","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lavallee, Katherine D. 0000-0003-0747-9344","orcid":"https://orcid.org/0000-0003-0747-9344","contributorId":222439,"corporation":false,"usgs":false,"family":"Lavallee","given":"Katherine","email":"","middleInitial":"D.","affiliations":[],"preferred":true,"id":782153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250326,"text":"70250326 - 2020 - Paleo-metagenomics of North American fossil packrat middens: Past biodiversity revealed by ancient DNA","interactions":[],"lastModifiedDate":"2023-12-04T15:40:31.66227","indexId":"70250326","displayToPublicDate":"2020-02-20T09:38:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Paleo-metagenomics of North American fossil packrat middens: Past biodiversity revealed by ancient DNA","docAbstract":"

Fossil rodent middens are powerful tools in paleoecology. In arid parts of western North America, packrat (Neotoma spp.) middens preserve plant and animal remains for tens of thousands of years. Midden contents are so well preserved that fragments of endogenous ancient DNA (aDNA) can be extracted and analyzed across millennia. Here, we explore the use of shotgun metagenomics to study the aDNA obtained from packrat middens up to 32,000 C14 years old. Eleven Illumina HiSeq 2500 libraries were successfully sequenced, and between 0.11% and 6.7% of reads were classified using Centrifuge against the NCBI “nt” database. Eukaryotic taxa identified belonged primarily to vascular plants with smaller proportions mapping to ascomycete fungi, arthropods, chordates, and nematodes. Plant taxonomic diversity in the middens is shown to change through time and tracks changes in assemblages determined by morphological examination of the plant remains. Amplicon sequencing of ITS2 and rbcL provided minimal data for some middens, but failed at amplifying the highly fragmented DNA present in others. With repeated sampling and deep sequencing, analysis of packrat midden aDNA from well-preserved midden material can provide highly detailed characterizations of past communities of plants, animals, bacteria, and fungi present as trace DNA fossils. The prospects for gaining more paleoecological insights from aDNA for rodent middens will continue to improve with optimization of laboratory methods, decreasing sequencing costs, and increasing computational power.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6082","usgsCitation":"Moore, G., Tessler, M., Cunningham, S., Betancourt, J.L., and Harbert, R., 2020, Paleo-metagenomics of North American fossil packrat middens: Past biodiversity revealed by ancient DNA: Ecology and Evolution, v. 10, p. 2530-2544, https://doi.org/10.1002/ece3.6082.","productDescription":"15 p.","startPage":"2530","endPage":"2544","ipdsId":"IP-116757","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":457653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6082","text":"Publisher Index Page"},{"id":423176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Grace","contributorId":332110,"corporation":false,"usgs":false,"family":"Moore","given":"Grace","email":"","affiliations":[{"id":79384,"text":"Smith College (Northampton, MA)","active":true,"usgs":false}],"preferred":false,"id":889462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tessler, Michael","contributorId":247608,"corporation":false,"usgs":false,"family":"Tessler","given":"Michael","email":"","affiliations":[{"id":49589,"text":"Division of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024, USA","active":true,"usgs":false}],"preferred":false,"id":889463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Seth","contributorId":332111,"corporation":false,"usgs":false,"family":"Cunningham","given":"Seth","email":"","affiliations":[{"id":79386,"text":"Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY","active":true,"usgs":false}],"preferred":false,"id":889464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":889465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harbert, Robert","contributorId":332112,"corporation":false,"usgs":false,"family":"Harbert","given":"Robert","email":"","affiliations":[{"id":79387,"text":"Stonehill College (MA)","active":true,"usgs":false}],"preferred":false,"id":889466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212528,"text":"70212528 - 2020 - Six-axis ground motion measurements of caldera collapse at Kīlauea Volcano, Hawaiʻi - More data, more puzzles?","interactions":[],"lastModifiedDate":"2020-08-19T13:36:23.530445","indexId":"70212528","displayToPublicDate":"2020-02-20T08:29:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Six-axis ground motion measurements of caldera collapse at Kīlauea Volcano, Hawaiʻi - More data, more puzzles?","docAbstract":"

Near‐field recordings of large earthquakes and volcano‐induced events using traditional seismological instrumentation often suffer from unaccounted effects of local tilt and saturation of signals. Recent hardware advances have led to the development of the blueSeis‐3A, a very broadband, highly sensitive rotational motion sensor. We installed this sensor in close proximity to permanently deployed classical instrumentation (i.e., translational seismometer, accelerometer, and tiltmeter) at the Hawaiian Volcano Observatory (USGS). There, we were able to record three ~Mw 5 earthquakes associated with large collapse events during the later phase of the 2018 Kīlauea summit eruption. Located less than 2 km from the origins of these sources, the combined six‐axis translational and rotational measurements revealed clear static rotations around all three coordinate axes. With these six component recordings, we have been able to reconstruct the complete time history of ground motion of a fixed point during an earthquake for the first time.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL085999","usgsCitation":"Wassermann, J., Bernauer, F., Shiro, B., Johanson, I.A., Guattari, F., and Igel, H., 2020, Six-axis ground motion measurements of caldera collapse at Kīlauea Volcano, Hawaiʻi - More data, more puzzles?: Geophysical Research Letters, v. 47, no. 5, e2019GL085999, 7 p., https://doi.org/10.1029/2019GL085999.","productDescription":"e2019GL085999, 7 p.","ipdsId":"IP-111776","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":457656,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019gl085999","text":"External Repository"},{"id":377643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.33843994140625,\n 19.36427174188655\n ],\n [\n -155.19012451171875,\n 19.36427174188655\n ],\n [\n -155.19012451171875,\n 19.46141299683288\n ],\n [\n -155.33843994140625,\n 19.46141299683288\n ],\n [\n -155.33843994140625,\n 19.36427174188655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Wassermann, Joachim","contributorId":236707,"corporation":false,"usgs":false,"family":"Wassermann","given":"Joachim","email":"","affiliations":[{"id":47518,"text":"Ludwig-Maximilians-Universit¨at M¨unchen, Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":796706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernauer, Felix 0000-0002-9509-4905","orcid":"https://orcid.org/0000-0002-9509-4905","contributorId":238842,"corporation":false,"usgs":false,"family":"Bernauer","given":"Felix","email":"","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":796707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guattari, Frederic","contributorId":238843,"corporation":false,"usgs":false,"family":"Guattari","given":"Frederic","email":"","affiliations":[{"id":47801,"text":"iXblue","active":true,"usgs":false}],"preferred":false,"id":796710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Igel, Heiner 0000-0002-7242-6399","orcid":"https://orcid.org/0000-0002-7242-6399","contributorId":238844,"corporation":false,"usgs":false,"family":"Igel","given":"Heiner","email":"","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":796711,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209599,"text":"70209599 - 2020 - Training data selection for annual land cover classification for the LCMAP initiative","interactions":[],"lastModifiedDate":"2020-04-15T11:55:08.292617","indexId":"70209599","displayToPublicDate":"2020-02-20T06:53:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Training data selection for annual land cover classification for the LCMAP initiative","docAbstract":"The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative characterizes changes in land cover, use, and condition with the goal of producing land change information that improves understanding of the earth system and provides insight into the impacts of land change on society. For LCMAP, all available high-quality data from the Landsat archive is used in a time series approach to detect land surface change. Annual thematic land cover maps are produced by classifying time series models. In this paper, we describe optimization of the classification method used to derive the thematic land cover product. We investigated the influences of auxiliary data, sample size, and training from different sources such as the U.S. Geological Survey’s Land Cover Trends project and National Land Cover Database (NLCD 2001 and NLCD 2011). Results were evaluated and validated based on independent data from the training dataset. We found that refining auxiliary data effectively reduced artifacts in the thematic land cover map that are related to data availability (i.e., SLC-off). The classification accuracy and stability were improved considerably by using a total of 20 million training pixels with a minimum of 600,000 and a maximum of 8 million training pixels per class. Finally, the NLCD 2001 training data delivered the best classification accuracy. Comparing to the original LCMAP classification strategy (Trends training data, 20,000 samples), the optimized classification strategy considerably improved the annual land cover map accuracy.","language":"English","publisher":"MDPI","doi":"10.3390/rs12040699","collaboration":"","usgsCitation":"Zhou, Q., Tollerud, H.J., Barber, C., Smith, K., and Zelenak, D.J., 2020, Training data selection for annual land cover classification for the LCMAP initiative: Remote Sensing, v. 12, no. 4, 699, 16 p., https://doi.org/10.3390/rs12040699.","productDescription":"699, 16 p.","ipdsId":"IP-114747","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12040699","text":"Publisher Index Page"},{"id":374001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":223103,"corporation":false,"usgs":true,"family":"Zhou","given":"Qiang","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tollerud, Heather J. 0000-0001-9507-4456","orcid":"https://orcid.org/0000-0001-9507-4456","contributorId":210820,"corporation":false,"usgs":true,"family":"Tollerud","given":"Heather","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Christopher P. 0000-0003-0570-1140","orcid":"https://orcid.org/0000-0003-0570-1140","contributorId":223102,"corporation":false,"usgs":true,"family":"Barber","given":"Christopher","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kelcy 0000-0001-6811-1485 kelcy.smith.ctr@usgs.gov","orcid":"https://orcid.org/0000-0001-6811-1485","contributorId":176844,"corporation":false,"usgs":true,"family":"Smith","given":"Kelcy","email":"kelcy.smith.ctr@usgs.gov","affiliations":[],"preferred":false,"id":787084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zelenak, Daniel J. 0000-0003-3457-0960","orcid":"https://orcid.org/0000-0003-3457-0960","contributorId":224118,"corporation":false,"usgs":true,"family":"Zelenak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208797,"text":"70208797 - 2020 - Monitoring chemical contaminants in the Gulf of Maine, using sediments and mussels (Mytilus edulis): An evaluation","interactions":[],"lastModifiedDate":"2020-03-02T06:45:08","indexId":"70208797","displayToPublicDate":"2020-02-20T06:43:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring chemical contaminants in the Gulf of Maine, using sediments and mussels (Mytilus edulis): An evaluation","docAbstract":"The objective of this paper is to determine whether contaminant data on mussels and sediments can be used interchangeably, or not, when assessing the degree of anthropogenic contamination of a water body. To obtain adequate coverage of the entire Gulf of Maine, Bay of Fundy sediment samples were collected, analyzed and combined with similar data from four coastal monitoring programs. This required careful interpretation but provided robust results consistent with published literature. A strong correspondence was found between sediment\nand mussel concentrations for polycyclic aromatic hydrocarbons, moderate to weak correspondence for polychlorinated biphenyls, and except for mercury and zinc, little to no correspondence was found for metals. We conclude that mussel contaminant data are likely sufficient for providing information on the spatial and temporal distribution of chemical contaminants, in coastal waters, under a broad range of environmental conditions\nand contaminant levels, and unlike sediments, provide direct information on contaminant bioavailability.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2020.110956","usgsCitation":"Elskus, A., LeBlanc, L., Latimer, J.S., Page, D., Harding, G., and Wells, P.G., 2020, Monitoring chemical contaminants in the Gulf of Maine, using sediments and mussels (Mytilus edulis): An evaluation: Marine Pollution Bulletin, v. 153, 110956, 9 p., https://doi.org/10.1016/j.marpolbul.2020.110956.","productDescription":"110956, 9 p.","ipdsId":"IP-110220","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457663,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10775826","text":"External Repository"},{"id":372756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.390625,\n 43.34116005412307\n ],\n [\n -65.830078125,\n 43.99281450048989\n ],\n [\n -64.51171875,\n 44.94924926661153\n ],\n [\n -63.984375,\n 45.460130637921004\n ],\n [\n -64.86328125,\n 45.79816953017265\n ],\n [\n -67.87353515625,\n 45.506346901083425\n ],\n [\n -70.24658203125,\n 44.22945656830167\n ],\n [\n -71.4111328125,\n 42.90816007196054\n ],\n [\n -71.34521484375,\n 41.902277040963696\n ],\n [\n -70.46630859375,\n 41.45919537950706\n ],\n [\n -68.115234375,\n 42.4234565179383\n ],\n [\n -65.390625,\n 43.34116005412307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"153","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Lawrence A","contributorId":222882,"corporation":false,"usgs":false,"family":"LeBlanc","given":"Lawrence A","affiliations":[{"id":40617,"text":"Lawrence LeBlanc Consulting","active":true,"usgs":false}],"preferred":false,"id":783423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latimer, James S","contributorId":222883,"corporation":false,"usgs":false,"family":"Latimer","given":"James","email":"","middleInitial":"S","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":783424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, David","contributorId":222884,"corporation":false,"usgs":false,"family":"Page","given":"David","email":"","affiliations":[{"id":33315,"text":"Bowdoin College","active":true,"usgs":false}],"preferred":false,"id":783425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harding, Gareth","contributorId":222885,"corporation":false,"usgs":false,"family":"Harding","given":"Gareth","email":"","affiliations":[{"id":40618,"text":"Fisheries & Oceans, Bedford Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":783426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wells, Peter G","contributorId":222886,"corporation":false,"usgs":false,"family":"Wells","given":"Peter","email":"","middleInitial":"G","affiliations":[{"id":40619,"text":"International Ocean Institute Canada, Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":783427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208923,"text":"70208923 - 2020 - Relating hydroclimatic change to streamflow, baseflow, and hydrologic partitioning in the Upper Rio Grande Basin, 1980 to 2015","interactions":[],"lastModifiedDate":"2020-03-06T06:44:44","indexId":"70208923","displayToPublicDate":"2020-02-20T06:38:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Relating hydroclimatic change to streamflow, baseflow, and hydrologic partitioning in the Upper Rio Grande Basin, 1980 to 2015","docAbstract":"Understanding how changing climatic conditions affect streamflow volume and timing is critical for effective water management. In the Rio Grande Basin of the southwest U.S., decreasing snowpack, increasing minimum temperatures, and decreasing streamflow have been observed in recent decades, but the effects of hydroclimatic changes on baseflow, or groundwater discharge to streams, have not been investigated. In this study, we determine how trends in precipitation, snowpack accumulation, and snowmelt rate relate to total streamflow, baseflow, and the hydrologic partitioning of baseflow and runoff at 12 sites in the Upper Rio Grande Basin (URGB) during 1980 to 2015. Total streamflow was partitioned into baseflow and runoff components at a daily time step using conductivity-mass-balance hydrograph separation. Trends in annual total streamflow, baseflow, runoff, baseflow index, precipitation, snowmelt rate, and peak snow water equivalent (SWE) were evaluated from 1980 to 2015 using the non-parametric Mann-Kendall trend test. Results indicate that baseflow forms a large component of total streamflow, contributing an average of 49% of total discharge upstream of Albuquerque, NM. During 1980 to 2015, decreasing trends in total streamflow occurred at 9 of 12 sites and were almost always associated with decreases in baseflow, suggesting that baseflow volumes can respond to changing climatic and anthropogenic conditions within decades. Decreasing snowmelt rates were more frequently associated with decreases in baseflow and total streamflow than were decreases in precipitation and peak SWE, highlighting the importance of snowmelt rate as a process controlling streamflow generation. If snow accumulation and snowmelt rates continue to decrease in the future, results indicate that total streamflow and baseflow volumes will decline, and that baseflow will become a larger fraction of total streamflow in the URGB.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2020.124715","usgsCitation":"Rumsey, C., Miller, M., and Sexstone, G.A., 2020, Relating hydroclimatic change to streamflow, baseflow, and hydrologic partitioning in the Upper Rio Grande Basin, 1980 to 2015: Journal of Hydrology, v. 584, 124715, 14 p., https://doi.org/10.1016/j.jhydrol.2020.124715.","productDescription":"124715, 14 p.","ipdsId":"IP-108016","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":457665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2020.124715","text":"Publisher Index Page"},{"id":372985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Upper Rio Grande Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.08349609375,\n 34.50655662164561\n ],\n [\n -104.39208984375,\n 34.50655662164561\n ],\n [\n -104.39208984375,\n 37.96152331396614\n ],\n [\n -108.08349609375,\n 37.96152331396614\n ],\n [\n -108.08349609375,\n 34.50655662164561\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"584","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70207988,"text":"ofr20201007 - 2020 - Spectral analysis to quantify the response of groundwater levels to precipitation — Northwestern United States","interactions":[],"lastModifiedDate":"2022-04-21T20:34:38.382256","indexId":"ofr20201007","displayToPublicDate":"2020-02-19T13:54:19","publicationYear":"2020","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":"2020-1007","displayTitle":"Spectral Analysis to Quantify the Response of Groundwater Levels to Precipitation — Northwestern United States","title":"Spectral analysis to quantify the response of groundwater levels to precipitation — Northwestern United States","docAbstract":"Persistent atmospheric patterns that lead to wet and dry seasons and droughts over periods of months to decades and longer-term climate change over periods of decades to millennia affect groundwater resources. Changes in groundwater storage and the resulting groundwater discharge from most aquifers is relatively slow and steady compared to the variability of daily precipitation. The response of groundwater levels to precipitation can be complex because of a combination of processes that include evapotranspiration, surface runoff, and infiltration of net recharge from precipitation through the vadose zone. Typically, this response is delayed and results in a change in groundwater storage reflected in a time series of groundwater levels. Understanding the relations between variations in precipitation and changes in groundwater storage is essential to water resources planning. The objectives of this study were to (1) characterize the relation between precipitation and responses in groundwater levels at seasonal to decadal scales and (2) to develop methods that are transferable on a continental scale to any groundwater-level record. Spectral analysis was applied to daily precipitation and groundwater levels for eleven monitoring wells in the northwestern Unites States with records ranging in length from 5.9 to 23.9 years. The analysis provided a quantitative characterization for each monitoring well that met both objectives and indicated that maximum and minimum precipitation rates generally occurred in December and August, respectively. Maximum groundwater levels occurred from February to August, and minimum values occurred from January to December. The lag in the annual peak response of groundwater to peak precipitation ranged from 2.2 to 8.8 months, with a median value of 5.3 months. Groundwater responses to wet and dry seasons were evident in the relatively high amplitude frequencies of 10 and 20 cycles per decade (cpdec). A high amplitude frequency at 1 cpdec represents a drought cycle that resulted in larger groundwater level changes than typical seasonal water level fluctuations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201007","collaboration":"Prepared in cooperation with National Oceanic and Atmospheric Administration’s National Integrated Drought Information System","productDescription":"iv, 18 p.","onlineOnly":"Y","ipdsId":"IP-103319","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":399450,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109688.htm"},{"id":372426,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1007/ofr20201007.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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\"}}]}","contact":"

Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-02-19","noUsgsAuthors":false,"publicationDate":"2020-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208767,"text":"70208767 - 2020 - Black oystercatcher (Haematopus bachmani) population size, use of marine reserve complexes, and spatial distribution in Oregon","interactions":[],"lastModifiedDate":"2020-02-28T08:44:29","indexId":"70208767","displayToPublicDate":"2020-02-19T08:44:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Black oystercatcher (Haematopus bachmani) population size, use of marine reserve complexes, and spatial distribution in Oregon","title":"Black oystercatcher (Haematopus bachmani) population size, use of marine reserve complexes, and spatial distribution in Oregon","docAbstract":"The Black Oystercatcher is a large shorebird found along the west coast of North America. Because of their small global population size, low reproductive rate, and dependence on rocky intertidal habitats, they are considered a “species of high conservation concern” and may act as an indicator of intertidal ecosystem health. In 2015, the Audubon Society of Portland initiated a 3-year shore-based population survey in Oregon building upon long-term monitoring previously conducted by the U.S. Geological Survey (USGS) and others. The objectives were to 1) Estimate the current minimum population of breeding Black Oystercatchers in Oregon and to compare that to previous estimates to better understand the population trend; 2) Document oystercatcher abundance adjacent to the Oregon’s system of Marine Reserves and Marine Protected Areas; and 3) Describe spatial distribution of breeding oystercatchers along the coast. We targeted all rocky shoreline habitats along Oregon’s coastline to perform abundance surveys each spring. A total of 75 survey routes were sampled using a standardized protocol. Trained volunteer community scientists conducted the majority of the surveys. We used N-mixture statistical models to estimate oystercatcher population size and probability of detection. Population estimates from the best fitting models were consistent, with estimates ranging from 506 oystercatchers in 2016 (95% credible interval, 463-560) to 629 (548-743) in 2015. These estimates indicated a small but stable population. Probability of detection remained consistent across years (ranging from 0.51 to 0.53). The effect of geographic region corresponded with greater bird density in the southern region of Oregon. Oystercatcher abundance adjacent to MR/MPAs accounted for between 12.4-18.3% of the total population estimate which was lower than expected (~25%). We recommend that subsequent conservation efforts directed on Black Oystercatchers in Oregon balance limiting human disturbance, particularly on the north and central coasts, with ensuring protection of core habitats on the south coast where much of the population resides.","language":"English","publisher":"BioONE","doi":"10.1898/1051-1733-101.1.14","usgsCitation":"Liebezeit, J., O’Connor, A., Lyons, J., Shannon, C., Stephensen, S., and Elliott-Smith, E., 2020, Black oystercatcher (Haematopus bachmani) population size, use of marine reserve complexes, and spatial distribution in Oregon: Northwestern Naturalist, v. 101, no. 1, p. 14-26, https://doi.org/10.1898/1051-1733-101.1.14.","productDescription":"13 p.","startPage":"14","endPage":"26","ipdsId":"IP-107204","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":372725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8046875,\n 41.95949009892467\n ],\n [\n -123.04687499999999,\n 41.95949009892467\n ],\n [\n -123.04687499999999,\n 46.20264638061019\n ],\n [\n -124.8046875,\n 46.20264638061019\n ],\n [\n -124.8046875,\n 41.95949009892467\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liebezeit, Joe","contributorId":216263,"corporation":false,"usgs":false,"family":"Liebezeit","given":"Joe","email":"","affiliations":[{"id":36680,"text":"Audubon Society of Portland","active":true,"usgs":false}],"preferred":false,"id":783328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connor, Amelia","contributorId":222845,"corporation":false,"usgs":false,"family":"O’Connor","given":"Amelia","email":"","affiliations":[{"id":40610,"text":"Otter Rock, OR","active":true,"usgs":false}],"preferred":false,"id":783329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":210574,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":783327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shannon, Courtney","contributorId":222846,"corporation":false,"usgs":false,"family":"Shannon","given":"Courtney","email":"","affiliations":[{"id":36680,"text":"Audubon Society of Portland","active":true,"usgs":false}],"preferred":false,"id":783330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephensen, Shawn","contributorId":222847,"corporation":false,"usgs":false,"family":"Stephensen","given":"Shawn","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":783331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott-Smith, Elise 0000-0003-1399-0093 eelliott-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1399-0093","contributorId":222848,"corporation":false,"usgs":true,"family":"Elliott-Smith","given":"Elise","email":"eelliott-smith@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":783332,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208832,"text":"70208832 - 2020 - Septic systems and rainfall influence human fecal markers and indicator organisms occurrence in private wells in southeastern Pennsylvania","interactions":[],"lastModifiedDate":"2020-04-06T23:10:52.997072","indexId":"70208832","displayToPublicDate":"2020-02-19T08:17:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Septic systems and rainfall influence human fecal markers and indicator organisms occurrence in private wells in southeastern Pennsylvania","docAbstract":"In the United States approximately 48 million people are served by private wells. Unlike public water systems, private well water quality is not monitored and there are few studies on the extent and sources of contamination of private wells. We extensively investigated five private wells to understand the variability in microbial contamination, the role of septic systems as sources of contamination, and the effect of rainfall on well water quality. From 2016-2017, weekly or biweekly samples (n= 105) were collected from 5 private wells in rural Pennsylvania. Samples were tested for general water quality parameters, conventional and sewage-associated microbial indicators, and human pathogens. Total coliforms, human Bacteroides (HF183), and pepper mild mottle virus were detected at least once in all wells. Regression revealed significant relationships between HF183 and rainfall 8-14 days prior to sampling and between total coliforms and rainfall 8-14 or 0-14 days prior to sampling. Dye tracer studies at 3 wells confirmed the impact of household septic systems on well contamination. Microbiological measurements, chemical water quality data, and dye tracer tests provide evidence of human fecal contamination in the private wells studied, suggesting that household septic systems are the source of this contamination.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b05405","usgsCitation":"Murphy, H., McGinnis, S., Blunt, R., Stokdyk, J.P., Wu, J., Cagle, A., Denno, D., Spencer, S.K., Firnstahl, A.D., and Borchardt, M.A., 2020, Septic systems and rainfall influence human fecal markers and indicator organisms occurrence in private wells in southeastern Pennsylvania: Environmental Science & Technology, v. 54, no. 6, p. 3159-3168, https://doi.org/10.1021/acs.est.9b05405.","productDescription":"10 p.","startPage":"3159","endPage":"3168","ipdsId":"IP-111966","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":437104,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HECZT0","text":"USGS data release","linkHelpText":"Cumulative antecedent precipitation data associated with well water samples collected in eastern Pennsylvania June-November 2017"},{"id":372834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.50830078125,\n 39.774769485295465\n ],\n [\n -75.849609375,\n 39.740986355883564\n ],\n [\n -74.7509765625,\n 40.22921818870117\n ],\n [\n -75.146484375,\n 40.713955826286046\n ],\n [\n -76.201171875,\n 40.93011520598305\n ],\n [\n -78.02490234375,\n 40.697299008636755\n ],\n [\n -78.44238281249999,\n 40.413496049701955\n ],\n [\n -78.50830078125,\n 39.774769485295465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Heather","contributorId":203052,"corporation":false,"usgs":false,"family":"Murphy","given":"Heather","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":783539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGinnis, Shannon","contributorId":203051,"corporation":false,"usgs":false,"family":"McGinnis","given":"Shannon","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":783540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blunt, Ryan","contributorId":222924,"corporation":false,"usgs":false,"family":"Blunt","given":"Ryan","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":783541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Jingwei","contributorId":222925,"corporation":false,"usgs":false,"family":"Wu","given":"Jingwei","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":783542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cagle, Alexander","contributorId":222926,"corporation":false,"usgs":false,"family":"Cagle","given":"Alexander","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":783543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denno, Donna","contributorId":222927,"corporation":false,"usgs":false,"family":"Denno","given":"Donna","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":783544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spencer, Susan K.","contributorId":210972,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":783545,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":783546,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70209452,"text":"70209452 - 2020 - An important biogeochemical link between organic and inorganic carbon cycling: Effects of organic alkalinity on carbonate chemistry in coastal waters influenced by intertidal salt marshes","interactions":[],"lastModifiedDate":"2020-04-08T12:09:23.162203","indexId":"70209452","displayToPublicDate":"2020-02-19T07:04:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"An important biogeochemical link between organic and inorganic carbon cycling: Effects of organic alkalinity on carbonate chemistry in coastal waters influenced by intertidal salt marshes","docAbstract":"Organic acid charge groups in dissolved organic carbon (DOC) contribute to total alkalinity (TA), i.e. organic alkalinity (OrgAlk). Its effect is often ignored or treated as a calculation uncertainty in many aquatic CO2 studies. This study evaluated the variability, sources, and characteristics of OrgAlk in estuarine waters exchanged tidally with a groundwater-influenced salt marsh in the northeast USA. Importantly, OrgAlk was found to serve as a biogeochemical medium linking organic and inorganic carbon cycling through its effects on pH, CO2 system speciation, and buffering capacity (H = -(∂pH/∂[H+])-1). Both the concentrations and characteristics of the identified organic acid charge groups, as well as water pH, influenced the magnitude and sign of the OrgAlk effects. The two main charge groups identified include carboxylic and phenolic or amine groups, with concentrations and pK values varying across tides and seasons. OrgAlk and DOC in the tidal creek were highly variable over tidal and seasonal cycles, and may be sourced from both terrestrial groundwater and in situ production in salt marsh sediments. OrgAlk seems to be more preserved over DOC in groundwater, although DOC and OrgAlk largely covaried in marsh tidal water, but with variable OrgAlk:DOC ratios. This highlights the insufficiency of using a fixed proportion of DOC to account for organic acid charge groups. OrgAlk was found to affect H+ concentrations by ~ 1 – 40 nmol kg-1 (equivalent to a pH change of ~ 0.03 – 0.26), pCO2 by ~ 30 – 1590 atm and buffering capacity by ~ 0.00 – 0.14 mmol kg-1 at relative OrgAlk contributions of 0.9 – 4.3% of TA observed in the marsh-influenced tidal water. Thus OrgAlk may have a significant influence on coastal inorganic carbon cycling. Further theoretical calculations confirm that these concentrations of OrgAlk would have sizable impacts on both carbonate speciation and, ultimately, air-sea CO2 fluxes in different coastal environments, ranging from estuarine to shelf waters. A new conceptual model linking organic and inorganic carbon cycling for coastal waters is proposed to highlight the sources and sinks of organic acid charge groups, as well as their biogeochemical behaviors and mechanistic control on the CO2 system.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.02.013","collaboration":"","usgsCitation":"Song, S., Wang, Z., Gonneea Eagle, M., Kroeger, K.D., Chu, S.N., Li, D., and Liang, H., 2020, An important biogeochemical link between organic and inorganic carbon cycling: Effects of organic alkalinity on carbonate chemistry in coastal waters influenced by intertidal salt marshes: Geochimica et Cosmochimica Acta, v. 275, p. 123-139, https://doi.org/10.1016/j.gca.2020.02.013.","productDescription":"17 p.","startPage":"123","endPage":"139","ipdsId":"IP-111625","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2020.02.013","text":"Publisher Index Page"},{"id":373830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Shuzhen","contributorId":223876,"corporation":false,"usgs":false,"family":"Song","given":"Shuzhen","email":"","affiliations":[{"id":40785,"text":"State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China","active":true,"usgs":false}],"preferred":false,"id":786528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Zhaohui Aleck","contributorId":174589,"corporation":false,"usgs":false,"family":"Wang","given":"Zhaohui Aleck","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":786529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":786530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":786531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Sophie N.","contributorId":174603,"corporation":false,"usgs":false,"family":"Chu","given":"Sophie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":786532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Daoji","contributorId":223877,"corporation":false,"usgs":false,"family":"Li","given":"Daoji","email":"","affiliations":[{"id":40785,"text":"State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China","active":true,"usgs":false}],"preferred":false,"id":786533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liang, Haorui","contributorId":223878,"corporation":false,"usgs":false,"family":"Liang","given":"Haorui","email":"","affiliations":[{"id":40786,"text":"College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, Shandong 266100, China","active":true,"usgs":false}],"preferred":false,"id":786534,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249282,"text":"70249282 - 2020 - Local earthquake Vp and Vs tomography in the Mount St. Helens region with the iMUSH broadband array","interactions":[],"lastModifiedDate":"2023-10-03T12:03:57.128024","indexId":"70249282","displayToPublicDate":"2020-02-19T06:59:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Local earthquake Vp and Vs tomography in the Mount St. Helens region with the iMUSH broadband array","docAbstract":"

We present new 3-D P wave and S wave velocity models of the upper 20 km of the Mount St. Helens (MSH) region. These were obtained using local-source arrival time tomography from earthquakes and explosions recorded at 70 broadband stations deployed as part of the imaging Magma Under St. Helens (iMUSH) project and augmented by several data sets. Principal features of our models include (1) low P wave and S wave velocities along the St. Helens seismic zone to depths of at least 20 km corresponding to high conductivity imaged by iMUSH magnetotelluric studies. This delineates a zone of weakness that magma can exploit at the location of MSH; (2) a 5- to 7-km diameter, 6–15 km deep, 3–6% negative P wave and S wave velocity anomaly beneath MSH, consistent with previous estimates of the source region for recent eruptions. We interpret this as a magma storage region containing up to 15–20 km3 of partial melt, which is about 5 times more than the largest documented eruption at MSH; (3) a broad region of low P wave velocity below 10-km depth extending between Mount Adams and Mount Rainier along and to the east of the main Cascade arc, which is likely due to high-temperature arc crust and possible presence of fluids or melt; (4) several anomalies associated with surface-mapped features, including high-velocity igneous units such as the Spud Mountain and Spirit Lake plutons and low velocities in the Chehalis sedimentary basin and the Indian Heaven volcanic field. Our results place further constraints on the geometry of these features at depth.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008888","usgsCitation":"Ulberg, C.W., Creager, K.C., Moran, S.C., Abers, G.A., Thelen, W., Levander, A., Kiser, E., Schmandt, B., Hansen, S.M., and Crosson, R., 2020, Local earthquake Vp and Vs tomography in the Mount St. Helens region with the iMUSH broadband array: Geochemistry, Geophysics, Geosystems, v. 21, no. 3, e2019GC008888, 19 p., https://doi.org/10.1029/2019GC008888.","productDescription":"e2019GC008888, 19 p.","ipdsId":"IP-109540","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/10e92d8761c546c0a2933c5b382ad0b0","text":"External Repository"},{"id":421529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.44905655105634,\n 46.36626254146168\n ],\n [\n -122.44905655105634,\n 46.044679655934544\n ],\n [\n -121.915601723516,\n 46.044679655934544\n ],\n [\n -121.915601723516,\n 46.36626254146168\n ],\n [\n -122.44905655105634,\n 46.36626254146168\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ulberg, Carl W 0000-0001-6198-809X","orcid":"https://orcid.org/0000-0001-6198-809X","contributorId":221909,"corporation":false,"usgs":false,"family":"Ulberg","given":"Carl","email":"","middleInitial":"W","affiliations":[{"id":6934,"text":"University of 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Upon reproductive failure, many bird species make a secondary attempt at nesting (hereafter, “renesting”). Renesting may be an effective strategy to maximize current and lifetime reproductive success, but individuals face uncertainty in the probability of success because reproductive attempts initiated later in the breeding season often have reduced nest, pre-fledging, and post-fledging brood survival. We evaluated renesting propensity, renesting intervals, and renest reproductive success of Piping Plovers (Charadrius melodus) by following 1,922 nests and 1,785 unique breeding adults from 2014 to 2016 in the Northern Great Plains of the United States. The apparent renesting rate for individuals was 25% for reproductive attempts that failed in the nest stage (egg laying and incubation) and only 1.2% for reproductive attempts when broods were lost. Renesting propensity declined if reproductive attempts failed during the brood-rearing stage, nests were depredated, reproductive failure occurred later in the breeding season, or individuals had previously renested that year. Additionally, plovers that nested on reservoirs were less likely to renest compared to other habitats. Renesting intervals declined when individuals had not already renested, were after-second-year adults without known prior breeding experience, and moved short distances between nest attempts. Renesting intervals also decreased if the attempt failed later in the season. Overall, reproductive success and daily nest survival were lower for renests than first nests throughout the breeding season. Furthermore, renests on reservoirs had reduced apparent reproductive success and daily nest survival unless the predicted amount of habitat on reservoirs increased within the breeding season. Our results provide important demographic measures for this threatened species and suggest that predation- and water-management strategies that maximize success of early nests would be more likely to increase productivity. Altogether, renesting appears to be an unproductive reproductive strategy to replace lost reproductive attempts for Piping Plovers breeding in the Northern Great Plains.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz066","usgsCitation":"Swift, R.J., Anteau, M.J., Ring, M., Toy, D.L., and Sherfy, M.H., 2020, Low renesting propensity and reproductive success make renesting unproductive for the threatened Piping Plover (Charadrius melodus): The Condor, v. 2, no. 122, duz066, 18 p., https://doi.org/10.1093/condor/duz066.","productDescription":"duz066, 18 p.","ipdsId":"IP-108250","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457680,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/duz066","text":"Publisher Index Page"},{"id":437105,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VAS8P7","text":"USGS data release","linkHelpText":"Renesting propensity, intervals, and reproductive success data for the Northern Great Plains Piping Plover, a threatened shorebird species 2014-2016"},{"id":375685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.39208984375,\n 48.21003212234042\n ],\n [\n -103.71093749999999,\n 48.10743118848039\n ],\n [\n -102.89794921875,\n 48.3416461723746\n ],\n [\n -101.97509765625,\n 47.90161354142077\n ],\n [\n -101.4697265625,\n 47.82790816919329\n ],\n [\n -100.78857421875,\n 47.76886840424207\n ],\n [\n -100.52490234375,\n 47.010225655683485\n ],\n [\n -100.43701171875,\n 46.558860303117164\n ],\n [\n -100.39306640625,\n 46.10370875598026\n ],\n [\n -100.21728515624999,\n 45.81348649679973\n ],\n [\n -100.39306640625,\n 44.731125592643274\n ],\n [\n -100.37109375,\n 44.449467536006935\n ],\n [\n -99.6240234375,\n 44.449467536006935\n ],\n [\n -99.03076171875,\n 45.120052841530544\n ],\n [\n -98.96484375,\n 46.08847179577592\n ],\n [\n -98.94287109375,\n 46.99524110694593\n ],\n [\n -99.29443359375,\n 47.54687159892238\n ],\n [\n -99.95361328125,\n 48.22467264956519\n ],\n [\n -101.1181640625,\n 48.647427805533546\n ],\n [\n -102.41455078125,\n 48.647427805533546\n ],\n [\n -103.18359375,\n 48.90805939965008\n ],\n [\n -104.4580078125,\n 48.951366470947725\n ],\n [\n -104.65576171875,\n 48.472921272487824\n ],\n [\n -104.39208984375,\n 48.21003212234042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"122","noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ring, Megan M. 0000-0001-8331-8492","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":225026,"corporation":false,"usgs":true,"family":"Ring","given":"Megan M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791041,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211506,"text":"70211506 - 2020 - American eels produce and release bile acids that vary across life stage","interactions":[],"lastModifiedDate":"2020-07-29T14:41:29.589294","indexId":"70211506","displayToPublicDate":"2020-02-18T09:37:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"American eels produce and release bile acids that vary across life stage","docAbstract":"

The American eel (Anguilla rostrata ) is an imperilled fish hypothesized to use conspecific cues, in part, to coordinate long‐distance migration during their multistage life history. Here, holding water and tissue from multiple American eel life stages was collected and analysed for the presence, profile and concentration of bile acids. Distinct bile acid profiles were identified in glass, elver, yellow eel and silver eel holding waters using ultraperformance liquid chromatography high‐resolution mass spectrometry and principal component analysis. Taurochenodeoxycholic acid, taurodeoxycholic acid, cholic acid, deoxycholic acid, taurolithocholic acid and taurocholic acid were detected in whole tissue of American glass eels and elvers, and in liver, intestine and gallbladder samples of late‐stage yellow eels. Bile acids were not a major component of silver eel washings or tissue. This study is novel because little was previously known about bile acids produced and emitted into the environment by American eels. Future behavioural studies could evaluate whether any bile acids produced by American eels influence conspecific migratory behaviour.

","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14295","usgsCitation":"Schmucker, A.K., Johnson, N., Bussy, U., Li, K., Galbraith, H.S., Chung-Davidson, Y., and Li, W., 2020, American eels produce and release bile acids that vary across life stage: Journal of Fish Biology, v. 96, p. 1024-1033, https://doi.org/10.1111/jfb.14295.","productDescription":"10 p.","startPage":"1024","endPage":"1033","ipdsId":"IP-111074","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437106,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QDUTU2","text":"USGS data release","linkHelpText":"Bile acid concentrations in tissues of American eel that were held at Northern Appalachian Research Laboratory, Wellsboro, Pennsylvania, as derived from liquid chromatography coupled to tandem mass spectrometry"},{"id":376839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","noUsgsAuthors":false,"publicationDate":"2020-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmucker, Andrew K.","contributorId":173159,"corporation":false,"usgs":false,"family":"Schmucker","given":"Andrew","email":"","middleInitial":"K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":794387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Ke","contributorId":172267,"corporation":false,"usgs":false,"family":"Li","given":"Ke","email":"","affiliations":[],"preferred":false,"id":794389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chung-Davidson, Yu-Wen","contributorId":126742,"corporation":false,"usgs":false,"family":"Chung-Davidson","given":"Yu-Wen","email":"","affiliations":[{"id":6589,"text":"Department of Fisheries & Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794392,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208604,"text":"70208604 - 2020 - The IPBES global assessment: Pathways to action","interactions":[],"lastModifiedDate":"2020-05-05T16:50:16.288254","indexId":"70208604","displayToPublicDate":"2020-02-18T06:48:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The IPBES global assessment: Pathways to action","docAbstract":"The first Global Assessment of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services found widespread, accelerating declines in Earth’s biodiversity and associated benefits to people from nature. Addressing these trends will require science-based policy responses to reduce impacts, especially at national to local scales. Effective scaling of science-policy efforts driven by global and national assessments is a major challenge for turning assessment into action, and will require unprecedented commitments on the part of scientists to engage with communities of policy and practice. Fulfillment of science’s social contract with society, and with nature, will require strong institutional support for scientists’ participation in activities that transcend conventional research and publication.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2020.01.009","usgsCitation":"Ruckelshaus, M.H., Jackson, S.T., Mooney, H.A., Jacobs, K.L., Kassam, K., Arroyo, M., Baldi, A., Bartuska, A.M., Boyd, J.W., Joppa, L.N., Kovacs-Hostyanszki, A., Petraglia Parsons, J., Scholes, R.J., Shogren, J.F., and Ouyang, Z., 2020, The IPBES global assessment: Pathways to action: Trends in Ecology and Evolution, v. 36, no. 5, p. 407-414, https://doi.org/10.1016/j.tree.2020.01.009.","productDescription":"8 p.","startPage":"407","endPage":"414","ipdsId":"IP-108851","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":487506,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repositorio.uchile.cl/handle/2250/175479","text":"External Repository"},{"id":372484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruckelshaus, Mary H.","contributorId":222602,"corporation":false,"usgs":false,"family":"Ruckelshaus","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":782684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":782683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, Harold A.","contributorId":172852,"corporation":false,"usgs":false,"family":"Mooney","given":"Harold","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":782685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Katharine L.","contributorId":189055,"corporation":false,"usgs":false,"family":"Jacobs","given":"Katharine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":782686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kassam, Karim- Aly S.","contributorId":222603,"corporation":false,"usgs":false,"family":"Kassam","given":"Karim- Aly S.","affiliations":[{"id":40566,"text":"Cornell University,","active":true,"usgs":false}],"preferred":false,"id":782687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arroyo, Mary T. K.","contributorId":222604,"corporation":false,"usgs":false,"family":"Arroyo","given":"Mary T. 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What factors drive population variability through space and time? Here we assess patterns of abundance of seven species of gall wasps in three genera occurring on the leaves of valley oaks (Quercus lobata ) at 10 sites throughout this species' statewide range in California, from 2000 to 2006. Our primary goals were to understand the factors driving variability in gall abundance and to assess the extent of spatial synchrony in gall wasp communities at both large and small geographic scales. On the large, statewide scale, there was significant site‐to‐site variation in gall abundance, driven in all cases primarily by differences in mean maximum seasonal temperatures, and lesser year‐to‐year variation. In contrast, on the small, local scale, differences were more pronounced from year to year than from tree to tree, and were to some extent correlated with differences in acorn production, suggesting an interaction with the reproductive effort of hosts. Significant spatial synchrony was detected, particularly at the statewide scale, but in no case did synchrony decline significantly with distance, despite sites being up to 741 km apart. Variation in spatial synchrony was correlated with a number of exogenous factors, including seasonal weather conditions, the acorn crop at the statewide scale and soil phosphorus availability at the local scale; however, most variation in spatial synchrony in our analyses remained unexplained.

","language":"English","publisher":"Wiley","doi":"10.1002/1438-390X.12040","usgsCitation":"Barringer, B., Koenig, W.D., Pearse, I.S., and Knops, J., 2020, Population ecology and spatial synchrony in abundance within and among populations of valley oak (Quercus lobata) leaf gall wasps: Population Ecology, v. 62, no. 2, p. 220-232, https://doi.org/10.1002/1438-390X.12040.","productDescription":"13 p.","startPage":"220","endPage":"232","ipdsId":"IP-106434","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437109,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O5F8DU","text":"USGS data release","linkHelpText":"Data on gall wasp abundance and biomass on valley oak and blue oak trees in California"},{"id":376494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Barringer, Brian","contributorId":229458,"corporation":false,"usgs":false,"family":"Barringer","given":"Brian","email":"","affiliations":[{"id":41651,"text":"U Wisconsin, Stevens Point","active":true,"usgs":false}],"preferred":false,"id":793237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Walter D.","contributorId":46255,"corporation":false,"usgs":false,"family":"Koenig","given":"Walter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":793238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science 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Nebraska","active":true,"usgs":false}],"preferred":false,"id":793240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215437,"text":"70215437 - 2020 - Phase equilibrium of a high-SiO2, andesite at fO2 = RRO: Implications for Augustine volcano and other high-fO2 arc andesites","interactions":[],"lastModifiedDate":"2020-10-20T14:38:11.855094","indexId":"70215437","displayToPublicDate":"2020-02-17T09:34:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Phase equilibrium of a high-SiO2, andesite at fO2 = RRO: Implications for Augustine volcano and other high-fO2 arc andesites","title":"Phase equilibrium of a high-SiO2, andesite at fO2 = RRO: Implications for Augustine volcano and other high-fO2 arc andesites","docAbstract":"

Understanding the impact of magmatic plumbing systems on explosive volcanic activity is important for hazard management. This study describes phase equilibria experiments using a high-silica andesite (HSA; SiO2 = 62.5 wt%) from the 2006 eruption of Augustine Volcano, Alaska. Experiments were conducted under H2O saturated conditions, f02\">f02f02 = RRO (Re–ReO2 or ~ Ni–NiO + 2), at pressures of 50–200 MPa (PTotal = PH2O), and at temperatures of 800–1060 °C. Run durations varied from 23 to 539 h, inversely scaled with temperature. The natural Augustine HSA phase assemblage (plagioclase, two pyroxenes, Fe–Ti oxides, magnesio-hornblende) was reproduced at 860–880 °C and 120–200 MPa. Comparing experimental and natural glass and plagioclase compositions further refined those conditions to ~ 870 °C and 120–170 MPa. Crystallization of euhedral quartz was accompanied by biotite and small amounts of cummingtonite at T ≤ 850 °C. The relatively high temperature appearance of these typically low-T phases indicates that higher f02\">f02f02 could enhance their stability. The storage conditions estimated from our experiments compare well with previous magma plumbing system models for Augustine from geophysical and petrological data. The refined experimental pressure range suggests a storage depth of 4.6–6.6 km, assuming a crustal density of 2650 kg/m3. The strong petrological and geochemical similarities between the products of the 2006, 1986, and 1976 eruptions suggest that the Augustine magmatic system had generally consistent crystallization conditions for the HSA lithology during that > 30-year time interval. The experimental results broad implications for understanding higher f02\">f02 magmas at andesitic arc volcanoes.

","language":"English","publisher":"Springer","doi":"10.1007/s00410-020-1663-6","usgsCitation":"De Angelis, S.H., Larsen, J.F., Coombs, M.L., Utley, J.E., and Dunn, A.P., 2020, Phase equilibrium of a high-SiO2, andesite at fO2 = RRO: Implications for Augustine volcano and other high-fO2 arc andesites: Contributions to Mineralogy and Petrology, v. 175, 24, 20 p., https://doi.org/10.1007/s00410-020-1663-6.","productDescription":"24, 20 p.","ipdsId":"IP-081173","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.445556640625,\n 58.50517468678928\n ],\n [\n -150.919189453125,\n 58.50517468678928\n ],\n [\n -150.919189453125,\n 61.70549883819642\n ],\n [\n -155.445556640625,\n 61.70549883819642\n ],\n [\n -155.445556640625,\n 58.50517468678928\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"175","noUsgsAuthors":false,"publicationDate":"2020-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"De Angelis, Sarah H.","contributorId":243409,"corporation":false,"usgs":false,"family":"De Angelis","given":"Sarah","email":"","middleInitial":"H.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":802207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Jessica F.","contributorId":200930,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":802208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Utley, James E. P.","contributorId":243410,"corporation":false,"usgs":false,"family":"Utley","given":"James","email":"","middleInitial":"E. P.","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":802210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunn, Andrew P.","contributorId":238780,"corporation":false,"usgs":false,"family":"Dunn","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":802211,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226682,"text":"70226682 - 2020 - Noose carpets: A novel method to capture rails","interactions":[],"lastModifiedDate":"2021-12-03T12:47:50.918797","indexId":"70226682","displayToPublicDate":"2020-02-17T06:42:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Noose carpets: A novel method to capture rails","docAbstract":"

Avian research may require investigators to capture birds for many reasons, including to collect measurements and attach leg bands or transmitters. The effectiveness and efficiency of capture techniques varies by species, habitat, and time of year. Rails are particularly challenging to capture because of their secretive behavior and the dense vegetation they inhabit. As such, basic natural history questions for many rail species remain unanswered. We paired audio lures with modified noose carpets to capture and study 69 Yuma Ridgway's rails (Rallus obsoletus yumanensis) in the southwestern United States during 2016–2018. We compared results with other more commonly used capture methods, and our results show that noose carpets paired with audio lures can be an effective tool to capture rails, thereby facilitating studies of their ecology and life history. Noose carpets are easy to use, cheap to build and maintain, and effective over a wide range of conditions. This method could be used to capture rails other than the Yuma Ridgway's rail by adjusting the noose size, noose line weight, and audio lures to match the target species. Published 2020. This article is a U.S. Government work and is in the public domain in the USA.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1068","usgsCitation":"Harrity, E.J., and Conway, C.J., 2020, Noose carpets: A novel method to capture rails: Wildlife Society Bulletin, v. 44, no. 1, p. 15-22, https://doi.org/10.1002/wsb.1068.","productDescription":"8 p.","startPage":"15","endPage":"22","ipdsId":"IP-106237","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":499994,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/a613d83b56e84915afbeb5e5fa63c7cf","text":"External Repository"},{"id":392429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.6640625,\n 32.713355353177555\n ],\n [\n -113.37890625,\n 32.713355353177555\n ],\n [\n -113.37890625,\n 35.10193405724606\n ],\n [\n -115.6640625,\n 35.10193405724606\n ],\n [\n -115.6640625,\n 32.713355353177555\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrity, Eamon J.","contributorId":264532,"corporation":false,"usgs":false,"family":"Harrity","given":"Eamon","email":"","middleInitial":"J.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":827640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":827639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208712,"text":"70208712 - 2020 - Getting to the core of the matter","interactions":[],"lastModifiedDate":"2020-02-27T06:04:21","indexId":"70208712","displayToPublicDate":"2020-02-17T06:42:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Getting to the Core of the Matter","title":"Getting to the core of the matter","docAbstract":"

The topic of carbon sequestration in coastal salt marshes can serve as the basis of an investigation story line with plenty of authentic relevance and drama! Consider establishing the context with students as an introduction to this lesson. Many resources for teaching about carbon uptake and sequestration in coastal wetlands can be found at the Bringing Wetlands to Market website. Some of the elements of the story are:

• To understand and address adverse impacts of climate change, action can be taken at all levels, from local to regional to global

• Climate change is linked to high levels of CO₂ in the atmosphere that can be reduced through lowering emissions or removing CO₂

• Salt marsh ecosystems are especially efficient at removing CO₂ and storing it for many years, but only if the marsh is ecologically healthy

• Students can learn about some ways to serve as stewards of local salt marshes or wetlands at the Bringing Wetlands to Market curriculum. 

","language":"English","publisher":"Waquoit Bay National Estuarine Research Reserve","collaboration":"Waquoit Bay National Estuarine Research Reserve","usgsCitation":"Gonneea Eagle, M., 2020, Getting to the core of the matter, 4 p.","productDescription":"4 p.","ipdsId":"IP-112966","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":372632,"type":{"id":15,"text":"Index Page"},"url":"https://waquoitbayreserve.org/wp-content/uploads/BWM2-Teaching-Notes-Getting-to-Core-final-2020-for-website.pdf"},{"id":372646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":783134,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70209602,"text":"70209602 - 2020 - Improving geospatial query performance of an interoperable geographic situation-awareness system (IGSAS) for disaster response","interactions":[],"lastModifiedDate":"2020-04-15T11:41:55.853997","indexId":"70209602","displayToPublicDate":"2020-02-17T06:39:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3618,"text":"Transactions in GIS","active":true,"publicationSubtype":{"id":10}},"title":"Improving geospatial query performance of an interoperable geographic situation-awareness system (IGSAS) for disaster response","docAbstract":"Disaster response operations require fast and coordinated actions based on the real-time disaster situation information. Although Volunteered Geographic Information (VGI) or crowdsourced geospatial data applications have demonstrated to be valuable tools for gathering real-time disaster situation information, they only provide limited utility for disaster response coordination because of the lack of compatibility and interoperability. VGI based on Geospatial Semantic Web (GSW) technologies has the potential to overcome the incompatibility and heterogeneity problems. However, GSW-based VGI often has poor performance due to complex geometric computation. The objective of this research is to explore how to use optimization techniques to improve performance of an interoperable geographic situation-awareness system (IGSAS) based on GSW technologies for disaster response. We conducted experiments to evaluate various client-side optimization techniques for improving performance of an IGSAS prototype for flooding disaster response in New Haven, Connecticut. Our experimental results show that the developed prototype can greatly reduce the runtime costs of geospatial semantic queries through on-the-fly spatial indexing, tile-based rendering, efficient algorithms for spatial join, and caching, especially for those spatial-join geospatial queries that involve a large number of spatial features and heavy geometric computation.","language":"English","publisher":"Wiley","doi":"10.1111/tgis.12614","collaboration":"","usgsCitation":"Zhang, C., Zhao, T., Usery, E., Varanka, D.E., and Li, W., 2020, Improving geospatial query performance of an interoperable geographic situation-awareness system (IGSAS) for disaster response: Transactions in GIS, v. 24, no. 2, p. 508-525, https://doi.org/10.1111/tgis.12614.","productDescription":"18 p.","startPage":"508","endPage":"525","ipdsId":"IP-099887","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":373999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Chuanrong 0000-0002-9165-5584","orcid":"https://orcid.org/0000-0002-9165-5584","contributorId":224119,"corporation":false,"usgs":false,"family":"Zhang","given":"Chuanrong","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":787094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Tian 0000-0001-6456-9763","orcid":"https://orcid.org/0000-0001-6456-9763","contributorId":224120,"corporation":false,"usgs":false,"family":"Zhao","given":"Tian","email":"","affiliations":[{"id":40828,"text":"University of Wisconsin - Milwaukee","active":true,"usgs":false}],"preferred":false,"id":787095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":204684,"corporation":false,"usgs":true,"family":"Usery","given":"E. Lynn","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":787096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":787097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weidong 0000-0002-4558-3292","orcid":"https://orcid.org/0000-0002-4558-3292","contributorId":224121,"corporation":false,"usgs":false,"family":"Li","given":"Weidong","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":787098,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219489,"text":"70219489 - 2020 - Intraspecific variation in surface water uptake in a perennial desert shrub","interactions":[],"lastModifiedDate":"2021-04-09T11:48:26.84806","indexId":"70219489","displayToPublicDate":"2020-02-16T06:45:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Intraspecific variation in surface water uptake in a perennial desert shrub","docAbstract":"
  1. Despite broad recognition that water is a major limiting factor in arid ecosystems, we lack an empirical understanding of how this resource is shared and distributed among neighbouring plants. Intraspecific variability can further contribute to this variation via divergent life‐history traits, including root architecture. We investigated these questions in the shrub Artemisia tridentata and hypothesized that the ability to access and utilize surface water varies among subspecies and cytotypes.
  2. We used an isotope tracer to quantify below‐ground zone of influence in A. tridentata, and tested whether spatial neighbourhood characteristics can alter plant water uptake. We introduced deuterium‐enriched water to the soil in plant interspaces in a common garden experiment and measured deuterium composition of plant stems. We then applied spatially explicit models to test for differential water uptake by A. tridentata, including intermingled populations of three subspecies and two ploidy levels.
  3. The results suggest that lateral root functioning in A. tridentata is associated with intraspecific identity and ploidy level. Subspecies adapted to habitats with deep soils generally had a smaller horizontal reach, and polyploid cytotypes were associated with greater water uptake compared to their diploid variants. We also found that plant crown volume was a weak predictor of water uptake, and that neighbourhood crowding had no discernable effect on water uptake.
  4. Intraspecific variation in lateral root functioning can lead to differential patterns of resource acquisition, an essential process in arid ecosystems in the contexts of changing climate and seasonal patterns of precipitation. Altogether, we found that lateral root development and activity are more strongly related to genetic variability within A. tridentata than to plant size. Our study highlights how intraspecific variation in life strategies is linked to mechanisms of resource acquisition.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13546","usgsCitation":"Zaiats, A., Lazarus, B., Germino, M., Serpe, M.D., Richardson, B.A., Buerki, S., and Caughlin, T., 2020, Intraspecific variation in surface water uptake in a perennial desert shrub: Functional Ecology, v. 34, no. 6, p. 1170-1179, https://doi.org/10.1111/1365-2435.13546.","productDescription":"10 p.","startPage":"1170","endPage":"1179","ipdsId":"IP-110881","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13546","text":"Publisher Index Page"},{"id":384957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Zaiats, Andrii","contributorId":257073,"corporation":false,"usgs":false,"family":"Zaiats","given":"Andrii","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Serpe, Marcelo D.","contributorId":257074,"corporation":false,"usgs":false,"family":"Serpe","given":"Marcelo","email":"","middleInitial":"D.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Bryce A.","contributorId":207820,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":37640,"text":"U.S.D.A. Forest Service Rocky Mountain Research Station, Provo, UT, 84606 USA","active":true,"usgs":false}],"preferred":false,"id":813793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buerki, Sven","contributorId":257075,"corporation":false,"usgs":false,"family":"Buerki","given":"Sven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caughlin, T. Trevor","contributorId":257076,"corporation":false,"usgs":false,"family":"Caughlin","given":"T. Trevor","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208913,"text":"70208913 - 2020 - Quantifying human-induced temperature impacts on the 2018 United States Four Corners drought","interactions":[],"lastModifiedDate":"2020-03-06T06:20:07","indexId":"70208913","displayToPublicDate":"2020-02-16T06:33:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying human-induced temperature impacts on the 2018 United States Four Corners drought","docAbstract":"Human-induced (HI) warming increased Four Corners’ air temperatures by between +1.3 and +2°C, increasing vapor pressure deficits and reducing NDVI by ~16-30%. Without HI warming, March SWE would have been higher by ~20%.","language":"English","publisher":"America Meteorological Society","doi":"10.1175/BAMS-D-19-0187.1","usgsCitation":"Williams, E., Funk, C., Shukla, S., and McEvoy, D., 2020, Quantifying human-induced temperature impacts on the 2018 United States Four Corners drought: Bulletin of the American Meteorological Society, v. 101, no. 1, p. S11-S15, https://doi.org/10.1175/BAMS-D-19-0187.1.","productDescription":"5 p.","startPage":"S11","endPage":"S15","ipdsId":"IP-111572","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-19-0187.1","text":"Publisher Index Page"},{"id":372939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Arizona, Utah, Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.181640625,\n 35.38904996691167\n ],\n [\n -107.138671875,\n 35.38904996691167\n ],\n [\n -107.138671875,\n 38.61687046392973\n ],\n [\n -111.181640625,\n 38.61687046392973\n ],\n [\n -111.181640625,\n 35.38904996691167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Emily","contributorId":167071,"corporation":false,"usgs":false,"family":"Williams","given":"Emily","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":783968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":783967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":783969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEvoy, Daniel","contributorId":223063,"corporation":false,"usgs":false,"family":"McEvoy","given":"Daniel","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":783970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210518,"text":"70210518 - 2020 - Acoustic space occupancy: Combining ecoacoustics and lidar to model biodiversity variation and detection bias across heterogeneous landscapes","interactions":[],"lastModifiedDate":"2020-06-11T14:29:01.17467","indexId":"70210518","displayToPublicDate":"2020-02-15T09:28:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic space occupancy: Combining ecoacoustics and lidar to model biodiversity variation and detection bias across heterogeneous landscapes","docAbstract":"

There is global interest in quantifying changing biodiversity in human-modified landscapes. Ecoacoustics may offer a promising pathway for supporting multi-taxa monitoring, but its scalability has been hampered by the sonic complexity of biodiverse ecosystems and the imperfect detectability of animal-generated sounds. The acoustic signature of a habitat, or soundscape, contains information about multiple taxa and may circumvent species identification, but robust statistical technology for characterizing community-level attributes is lacking. Here, we present the Acoustic Space Occupancy Model, a flexible hierarchical framework designed to account for detection artifacts from acoustic surveys in order to model biologically relevant variation in acoustic space use among community assemblages. We illustrate its utility in a biologically and structurally diverse Amazon frontier forest landscape, a valuable test case for modeling biodiversity variation and acoustic attenuation from vegetation density. We use complementary airborne lidar data to capture aspects of 3D forest structure hypothesized to influence community composition and acoustic signal detection. Our novel analytic framework permitted us to model both the assembly and detectability of soundscapes using lidar-derived estimates of forest structure. Our empirical predictions were consistent with physical models of frequency-dependent attenuation, and we estimated that the probability of observing animal activity in the frequency channel most vulnerable to acoustic attenuation varied by over 60%, depending on vegetation density. There were also large differences in the biotic use of acoustic space predicted for intact and degraded forest habitats, with notable differences in the soundscape channels predominantly occupied by insects. This study advances the utility of ecoacoustics by providing a robust modeling framework for addressing detection bias from remote audio surveys while preserving the rich dimensionality of soundscape data, which may be critical for inferring biological patterns pertinent to multiple taxonomic groups in the tropics. Our methodology paves the way for greater integration of remotely sensed observations with high-throughput biodiversity data to help bring routine, multi-taxa monitoring to scale in dynamic and diverse landscapes.

","language":"English","publisher":"Wiley","doi":"10.1016/j.ecolind.2020.106172","usgsCitation":"Rappaport, D.I., Royle, J.A., and Morton, D.C., 2020, Acoustic space occupancy: Combining ecoacoustics and lidar to model biodiversity variation and detection bias across heterogeneous landscapes: Ecological Indicators, v. 113, 106172, 9 p., https://doi.org/10.1016/j.ecolind.2020.106172.","productDescription":"106172, 9 p.","ipdsId":"IP-113750","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106172","text":"Publisher Index Page"},{"id":375463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","state":"Mato Grosso","city":"Feliz Natal, Nova Ubirita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -59.64477539062499,\n -13.667338259654947\n ],\n [\n -53.2177734375,\n -13.667338259654947\n ],\n [\n -53.2177734375,\n -10.055402736564224\n ],\n [\n -59.64477539062499,\n -10.055402736564224\n ],\n [\n -59.64477539062499,\n -13.667338259654947\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rappaport, Danielle I.","contributorId":225138,"corporation":false,"usgs":false,"family":"Rappaport","given":"Danielle","email":"","middleInitial":"I.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":790497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Douglas C.","contributorId":225139,"corporation":false,"usgs":false,"family":"Morton","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":790499,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208700,"text":"70208700 - 2020 - Formation criteria for hyporheic anoxic microzones: Assessing interactions of hydraulics, nutrients and biofilms","interactions":[],"lastModifiedDate":"2020-03-11T15:59:43","indexId":"70208700","displayToPublicDate":"2020-02-15T08:52:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Formation criteria for hyporheic anoxic microzones: Assessing interactions of hydraulics, nutrients and biofilms","docAbstract":"

Recent experimental studies have detected the presence of anoxic microzones in hyporheic sediments. These microzones are small‐scale anoxic pores, embedded within oxygen‐rich porous media and can act as anaerobic reaction sites producing reduction compounds such as nitrous oxide, a potent greenhouse gas. Microbes are a key control on nutrient transformation in hyporheic sediment, but their associated biomass growth is also capable of altering hydraulic flux, leading to potential bioclogging. Here, we developed one of the first computational modeling approaches that combined hydraulics and microbial conditions to explore the continuous evolution of microzones in stream sediments. The model assessed stream and sediment conditions with different hydraulic flux (0.1–1.0 m/day Darcy flux), nutrient concentrations (O2 = 8 mg/L, OrgC = 20 mg/L, NO−3 = 1.5–3 mg/L, and NH3 = 0.5–1 mg/L), and biomass scenarios (with and without). The model domain is a pore network model with random sized pore‐throat radii creating heterogeneous and anisotropic flow that is representative of a natural streambed composed of medium sand with a hydraulic conductivity of 0.8 m/day. Results from 30 day simulations indicate that hyporheic microzone formation will occur and microzone distributions are not simply controlled by residence time alone, rather by the complex interactions of hydraulic flux, nutrient concentrations, and biomass, with bioclogging having strong feedbacks on both hydraulics and nutrients. Under all conditions with biomass growth, anoxic microzones were unstable, perishing a few days after formation, because bioclogging primarily occurs near the influent (downwelling) area of the hyporheic zone. In turn, this bioclogging shifts transport conditions from advection‐dominated to diffusion‐dominated transport, removing all oxic regions in the hyporheic zone. Overall, results from the modeling show that anoxic microzones are likely to form under many hyporheic zone conditions, and be dynamic through space and time as they are dependent on both hydraulic flux and nutrient transport.

","language":"English","publisher":"Wiley","doi":"10.1029/2019WR025971","usgsCitation":"Chowdhury, S.R., Zarnetske, J., Phanikumar, M., Briggs, M.A., Day-Lewis, F.D., and Singha, K., 2020, Formation criteria for hyporheic anoxic microzones: Assessing interactions of hydraulics, nutrients and biofilms: Water Resources Research, v. 56, no. 3, e2019WR025971, 15 p., https://doi.org/10.1029/2019WR025971.","productDescription":"e2019WR025971, 15 p.","ipdsId":"IP-113836","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Chowdhury, S. R.","contributorId":222748,"corporation":false,"usgs":false,"family":"Chowdhury","given":"S.","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":783075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarnetske, J.","contributorId":222749,"corporation":false,"usgs":false,"family":"Zarnetske","given":"J.","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":783076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phanikumar, M.S.","contributorId":222750,"corporation":false,"usgs":false,"family":"Phanikumar","given":"M.S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":783077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":783078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Singha, K.","contributorId":201025,"corporation":false,"usgs":false,"family":"Singha","given":"K.","email":"","affiliations":[],"preferred":false,"id":783079,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}