{"pageNumber":"631","pageRowStart":"15750","pageSize":"25","recordCount":184717,"records":[{"id":70216816,"text":"70216816 - 2020 - InFish: A professional network to promote global conservation and responsible use of inland fish","interactions":[],"lastModifiedDate":"2021-06-03T17:59:37.312677","indexId":"70216816","displayToPublicDate":"2020-04-14T14:13:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"InFish: A professional network to promote global conservation and responsible use of inland fish","docAbstract":"

Inland fishes and fisheries make substantial contributions to individuals, society, and the environment in a changing global landscape that includes climate, water allocations, and societal changes. However, current limitations to valuing the services provided by inland fish and their fisheries often leaves them out of key decision‐making discussions. InFish is a voluntary professional network with over 120 members from over 50 organizations in over 20 countries that seeks to address challenges facing inland fish through novel approaches and international collaborations. InFish fosters opportunities to share knowledge, pursue proposals, publications, and conference‐related events focused on inland fisheries. InFish has become a source of inland fisheries expertise, working collectively towards global conservation and sustainable use of inland fish through informing scientifically sound management practices. As such, InFish may serve as a model network for other natural resource challenges now and into the future.

","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10419","usgsCitation":"Lynch, A.J., Bartley, D.M., Beard, Bunnell, D., Cooke, S.J., Cowx, I.G., Funge-Smith, S., Paukert, C.P., Rogers, M.W., and Taylor, W., 2020, InFish: A professional network to promote global conservation and responsible use of inland fish: Fisheries Magazine, v. 45, no. 6, p. 319-326, https://doi.org/10.1002/fsh.10419.","productDescription":"8 p.","startPage":"319","endPage":"326","ipdsId":"IP-110120","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":245521,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"","middleInitial":"J","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":806362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":806363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":806364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":245523,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":806366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cowx, Ian. G.","contributorId":220479,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian.","email":"","middleInitial":"G.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":806367,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funge-Smith, Simon","contributorId":197466,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","affiliations":[],"preferred":false,"id":806368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":806369,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806370,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":806371,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70208713,"text":"sir20205018 - 2020 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","interactions":[],"lastModifiedDate":"2020-04-15T11:29:32.465392","indexId":"sir20205018","displayToPublicDate":"2020-04-14T12:41:15","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":"2020-5018","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","docAbstract":"

Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 10 bridges at 9 highway crossings of the Missouri River between Kansas City and St. Louis, Missouri, from May 22 to 31, 2017. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,550 to 1,840 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood flow conditions. These surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood flow comparison to help assess the bridges for stability and integrity issues with respect to bridge scour during floods.

Bathymetric data were collected around every pier that was in water, except those at the edge of water, and scour holes were observed at most surveyed piers. Occasionally, the scour hole near a pier was difficult to discern from nearby bed features. The observed scour holes at the surveyed bridges were generally examined with respect to shape and depth.

Although exposure of parts of substructural support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material at these piers. The notable exceptions are piers 4 and 5 at structure K0999 on Missouri State Highway 41 at Miami, Mo.; piers 2 and 3 at structure G0069 on Missouri State Highway 240 at Glasgow, Mo.; and pier 5 at structure A4574 on Missouri State Highway 5 at Boonville, Mo. At these structures, the bed-material thickness between the bottom of the scour hole and bedrock was less than 6 feet.

Pier size, nose shape, and alignment to flow had a profound effect on the size of the scour hole observed for a given pier. Narrow piers having round or sharp noses that were aligned with flow often had scour holes that were difficult to discern from nearby bed features, whereas piers having wide or blunt noses resulted in larger, deeper scour holes. Several structures had piers that were skewed to primary approach flow, and scour holes near these piers generally indicated deposition on the leeward side of the pier and greater depth on the side of the pier with impinging flow. A riprap blanket constructed in 2015 around pier 4 of structures L0550 and A4497 on U.S. Highway 54 at Jefferson City, Mo., effectively mitigates the scour observed near those piers in previous surveys.

Previous bathymetric surveys exist for all the sites examined in this study. Bathymetric surfaces from a nonflood survey in 2013 and a flood survey in July 2011 at most of the sites are compared to the 2017 survey surfaces. The average channel-bed elevation at structure A4574 was remarkably similar in all three surveys and higher than what might be implied by a trendline along the reach between Kansas City and St. Louis, which may indicate this site is at or near a local feature that controls sediment deposition and scour.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205018","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2020, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017: U.S. Geological Survey Scientific Investigations Report 2020–5018, 104 p., https://doi.org/10.3133/sir20205018.\n","productDescription":"Report: x, 104 p.; Data Releases","numberOfPages":"118","onlineOnly":"Y","ipdsId":"IP-110170","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":373939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L6GW57","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, March 2010 through May 2017"},{"id":372633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5018/coverthb.jpg"},{"id":373938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5018/sir20205018.pdf","text":"Report","size":"23.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5018"},{"id":373940,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M4US7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, January 2010 through May 2017"}],"country":"United States","state":"Missouri","city":"Kansas City, St. Louis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.142822265625,\n 38.805470223177466\n ],\n [\n -91.12060546875,\n 38.92522904714054\n ],\n [\n -92.16430664062499,\n 39.08743603215884\n ],\n [\n -93.2958984375,\n 39.04478604850143\n ],\n [\n -94.119873046875,\n 39.12153746241925\n ],\n [\n -94.68017578125,\n 39.198205348894795\n ],\n [\n -94.63623046875,\n 38.91668153637508\n ],\n [\n -94.04296874999999,\n 38.865374851611634\n ],\n [\n -93.109130859375,\n 38.79690830348427\n ],\n [\n -92.274169921875,\n 38.85682013474361\n ],\n [\n -91.91162109375,\n 38.81403111409755\n ],\n [\n -91.29638671875,\n 38.69408504756833\n ],\n [\n -90.648193359375,\n 38.659777730712534\n ],\n [\n -90.186767578125,\n 38.57393751557591\n ],\n [\n -90.142822265625,\n 38.805470223177466\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-04-14","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70210514,"text":"70210514 - 2020 - Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA","interactions":[],"lastModifiedDate":"2020-06-08T15:47:17.13092","indexId":"70210514","displayToPublicDate":"2020-04-14T10:42:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA","docAbstract":"

As atmospheric dust deposition continues to increase across the southwestern United States, it has the potential to alter ecosystem productivity and structure by delivering nutrients, base cations, and pollutants to remote mountain sites. Due to the sparse distribution of dust monitoring sites, open questions remain about the spatial and temporal variability of dust fluxes and composition across mountainous terrain. We present a 1 year (November 2017 to November 2018) record of seasonal dust fluxes and composition from an elevation transect across the Colorado Front Range extending from the urban plains to the remote alpine. At all nine sites, dust was enriched in the essential nutrient phosphorus and the metals copper, zinc, lead, and cadmium, elements that are enriched in dust deposited at sites across the Rocky Mountain West. We observed a seasonal pattern in dust composition, with the highest concentrations of zinc and cadmium during the summer, when back trajectory modeling suggested a greater contribution of dust from local urban and agricultural regions to the east of the collection sites. During the summer, there was also a trend of higher dust fluxes at lower elevations; dust fluxes ranged from 18.9 ± 0.1 g m−2 yr−1 on the plains to 5.9 ± 0.2 g m−2 yr−1 in the alpine. Our results suggest that urban and agricultural land east of the Colorado Front Range is an important source of nutrients and pollutants to all elevations of the mountain range.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JF005436","usgsCitation":"Heindel, R.C., Putman, A.L., Murphy, S.F., Repert, D.A., and Hinckley, E.S., 2020, Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA: Journal of Geophysical Research: Earth Surface, v. 125, no. 5, e2019JF005436, 18 p., https://doi.org/10.1029/2019JF005436.","productDescription":"e2019JF005436, 18 p.","ipdsId":"IP-117827","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":375411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.578369140625,\n 39.65645604812829\n ],\n [\n -104.5458984375,\n 39.65645604812829\n ],\n [\n -104.5458984375,\n 40.463666324587685\n ],\n [\n -106.578369140625,\n 40.463666324587685\n ],\n [\n -106.578369140625,\n 39.65645604812829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Heindel, Ruth C. 0000-0001-6292-2076","orcid":"https://orcid.org/0000-0001-6292-2076","contributorId":225133,"corporation":false,"usgs":false,"family":"Heindel","given":"Ruth","email":"","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":790482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":790484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":790485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinckley, Eve-Lyn S.","contributorId":181894,"corporation":false,"usgs":false,"family":"Hinckley","given":"Eve-Lyn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":790486,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210523,"text":"70210523 - 2020 - Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient","interactions":[],"lastModifiedDate":"2020-07-09T15:06:48.991795","indexId":"70210523","displayToPublicDate":"2020-04-14T09:48:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient","docAbstract":"

Sea level rise (SLR) is threatening coastal marshes, leading to large‐scale marsh loss in several micro‐tidal systems. Early recognition of marsh vulnerability to SLR is critical in these systems to aid managers to take appropriate restoration or mitigation measures. However, it is not clear if current marsh vulnerability indicators correctly assess long‐term stability of the marsh system. In this study, two indicators of marsh stress were studied: (i) the skewness of the marsh elevation distribution, and (ii) the abundance of codominant species in mixtures. We combined high‐precision elevation measurements (GPS), LiDAR imagery, vegetation surveys and water level measurements to study these indicators in an organogenic micro‐tidal system (Blackwater River, Maryland, USA), where large‐scale historical conversion from marshes to shallow ponds resulted in a gradient of increasing marsh loss. The two indicators reveal increasingly stressed marshes along the marsh loss gradient, but suggest that the field site with the most marsh loss seems to experience less stress. For the latter site, previous research indicates that wind waves generated on interior marsh ponds contribute to lateral erosion of surrounding marsh edges and hence marsh loss. The eroded marsh sediment might temporarily provide the remaining marshes with the necessary sediment to keep up with relative SLR. However, this is only a short‐term alleviation, as lateral marsh edge erosion and sediment export lead to severe marsh loss in the long term. Our findings indicate that marsh elevation skewness and the abundance of codominant species in mixtures can be used to supplement existing marsh stress indicators, but that additional indices such as fetch length and the sediment budget should be included to account for lateral marsh erosion and sediment export and to correctly assess long‐term stability of micro‐tidal marshes.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.4869","usgsCitation":"Schepers, L., Kirwan, M.L., Guntenspergen, G.R., and Temmerman, S., 2020, Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient: Earth Surface Processes and Landforms, v. 45, no. 9, p. 2107-2117, https://doi.org/10.1002/esp.4869.","productDescription":"11 p.","startPage":"2107","endPage":"2117","ipdsId":"IP-099311","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4869","text":"Publisher Index Page"},{"id":375464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.32476806640625,\n 38.40033474910393\n ],\n [\n -76.13868713378906,\n 38.40033474910393\n ],\n [\n -76.13868713378906,\n 38.49820570027114\n ],\n [\n -76.32476806640625,\n 38.49820570027114\n ],\n [\n -76.32476806640625,\n 38.40033474910393\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":790511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":790512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":790514,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209228,"text":"sir20205031 - 2020 - Effects of legacy sediment removal and effects on nutrients and sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15","interactions":[],"lastModifiedDate":"2020-04-14T14:16:58.478936","indexId":"sir20205031","displayToPublicDate":"2020-04-14T09:30:00","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":"2020-5031","displayTitle":"Effects of Legacy Sediment Removal on Nutrients and Sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15","title":"Effects of legacy sediment removal and effects on nutrients and sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15","docAbstract":"

Big Spring Run is a 1.68-square mile watershed underlain by mostly carbonate rock in a mixed land-use setting (part agricultural and part developed) in Lancaster County, Pennsylvania. Big Spring Run is a subwatershed of Mill Creek, a tributary to the Conestoga River. These watersheds are known contributors of nutrient and sediment loads to the Chesapeake Bay and several stream reaches are on the Pennsylvania impaired waters list. Big Spring Run is listed as impaired and was selected by the Pennsylvania Department of Environmental Protection to evaluate a novel best management practice to restore natural aquatic ecosystems by removing legacy sediment. The study was designed to quantify sediment and nutrient contributions in pre- and postrestoration periods (water years 2009–11 and 2012–15, respectively) using an intensive monitoring approach at three surface-water sites within the watershed. Instrumentation at each site continuously measured (15-minute intervals) streamflow, water temperature, and turbidity. Water-quality samples were collected routinely (generally monthly and during selected storms); sampling frequency varied by site and constituent at the three monitoring sites.

Effects of legacy sediment removal and restoration on nutrient concentrations varied in surface water samples depending on the form (particulate, dissolved, organic, inorganic). For example, total phosphorus concentrations at the downstream site decreased from a median of 0.19 milligram per liter (mg/L) to 0.04 mg/L, pre- and postrestoration periods, respectively. Concentrations of orthophosphate, the dissolved form of phosphorus, were not significantly different pre- to postrestoration at the downstream site. Similarly, nitrate concentrations, the dominant form of nitrogen in Big Spring Run surface-water samples (92.3 percent of total nitrogen) were not significantly different in the pre- compared to the postrestoration periods.

Legacy sediment removal and restoration had significant effects on suspended-sediment concentrations and loads. Median suspended-sediment concentrations at the downstream site decreased from 556 mg/L prerestoration to 74 mg/L postrestoration even though streamflow hydrographs during the two periods were similar. In the postrestoration period, the mean annual suspended-sediment load conveyed to the restoration area from the upstream sites was 839 tons, whereas mean annual suspended-sediment load at the downstream site was reduced to 242 tons.

Streamflow during storms transports a large proportion of the suspended-sediment load; there were a total of 320 storms over the study period. In Big Spring Run, a single storm event can transport more than 25 percent of the annual suspended-sediment load. The greatest single-storm contribution to suspended-sediment load was 38 percent in water year 2015 at the downstream site. Although streamflow magnitudes during storms varied greatly over the study period, median streamflow was 17.5 cubic feet per second and median duration was about 3 hours and 24 minutes.

Results observed for this study using the newly proposed best management practice were compared with other best management practices intended to reduce sediment. For example, during a previous study, statistically significant reductions in suspended-sediment concentration were observed when streambank fencing was implemented in an adjacent watershed; however, suspended-sediment reductions were an order of magnitude less than the reductions observed in the current study. Median suspended-sediment concentration at the downstream site was reduced by 482 mg/L in the current study compared to only 30 to 46 mg/L as a result of streambank fencing.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205031","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, and in collaboration with Franklin and Marshall College and the U.S. Environmental Protection Agency","usgsCitation":"Langland, M.J., Duris, J.W., Zimmerman, T.M., and Chaplin, J.J., 2020, Effects of legacy sediment removal and effects on nutrients and sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15: U.S. Geological Survey Scientific Investigations Report 2020-5031, 28 p., https://doi.org/10.3133/sir20205031.","productDescription":"Report: viii, 28 p.; 3 Data Releases","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084985","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":373895,"rank":5,"type":{"id":30,"text":"Data 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sediment at Big Spring Run, Lancaster County, Pennsylvania, 2009–2015"},{"id":373892,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5031/sir20205031.pdf","text":"Report","size":"2.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5031"},{"id":373891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5031/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Lancaster 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Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-04-14","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":172426,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":785467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Tammy M. 0000-0003-0842-6981","orcid":"https://orcid.org/0000-0003-0842-6981","contributorId":219288,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Tammy M.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaplin, Jeffrey J. 0000-0002-0617-5050","orcid":"https://orcid.org/0000-0002-0617-5050","contributorId":205149,"corporation":false,"usgs":true,"family":"Chaplin","given":"Jeffrey J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221156,"text":"70221156 - 2020 - Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean","interactions":[],"lastModifiedDate":"2021-06-03T12:54:29.476362","indexId":"70221156","displayToPublicDate":"2020-04-14T07:45:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean","docAbstract":"
The Rio Grande Rise (RGR) is a large elevation in the Atlantic Ocean and known to host potential mineral resources of ferromanganese crusts (Fe–Mn), but no investigation into their general characteristics have been made in detail. Here, we investigate the chemical and mineralogical composition, growth rates and ages of initiation, and phosphatization of relatively shallow-water (650–825 m) Fe–Mn crusts dredged from the summit of RGR by using computed tomography, X-ray diffraction, 87Sr/86Sr ratios, U–Th isotopes, and various analytical techniques to determine their chemical composition. Fe–Mn crusts from RGR have two distinct generations. The older one has an estimated age of initiation around 48–55 Ma and was extensively affected by post-depositional processes under suboxic conditions resulting in phosphatization during the Miocene (from 20 to 6.8 Ma). As a result, the older generation shows characteristics of diagenetic Fe–Mn deposits, such as low Fe/Mn ratios (mean 0.52), high Mn, Ni, and Li contents and the presence of a 10 Å phyllomanganate, combined with the highest P content among crusts (up to 7.7 wt %). The younger generation is typical of hydrogenetic crusts formed under oxic conditions, with a mean Fe/Mn ratio of 0.75 and mean Co content of 0.66 wt %, and has the highest mean contents of Bi, Nb, Ni, Te, Rh, Ru, and Pt among crusts formed elsewhere. The regeneration of nutrients from local biological productivity in the water column is the main source of metals to crusts, providing mainly metals that regenerate rapidly in the water column and are made available at relatively shallow water depths (Ni, As, V, and Cd), at the expense of metals of slower regeneration (Si and Cu). Additionally, important contributions of nutrients may derive from various water masses, especially the South Atlantic Mode Water and Antarctic Intermediate Water (AAIW). Bulk Fe–Mn crusts from the summit of RGR plateau are generally depleted in metals considered of greatest economic interest in crusts like Co, REE, Mo, Te, and Zr, but are the most enriched in the critical metals Ni and Li compared to other crusts. Further investigations are warranted on Fe–Mn crusts from deeper-water depths along the RGR plateau and surrounding areas, which would less likely be affected by phosphatization.
","language":"English","publisher":"MDPI","doi":"10.3390/min10040349","usgsCitation":"Benites, M., Hein, J.R., Mizell, K., Blackburn, T., and Jovane, L., 2020, Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean: Minerals, v. 10, no. 4, 349, 36 p., https://doi.org/10.3390/min10040349.","productDescription":"349, 36 p.","ipdsId":"IP-117416","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10040349","text":"Publisher Index Page"},{"id":386172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Rio Grande Rise","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -42.5390625,\n -26.588527147308614\n ],\n [\n -31.552734374999996,\n -26.588527147308614\n ],\n [\n -31.552734374999996,\n -16.467694748288956\n ],\n [\n -42.5390625,\n -16.467694748288956\n ],\n [\n -42.5390625,\n -26.588527147308614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Benites, Mariana","contributorId":259240,"corporation":false,"usgs":false,"family":"Benites","given":"Mariana","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":816881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackburn, Terrence 0000-0003-0029-0709","orcid":"https://orcid.org/0000-0003-0029-0709","contributorId":259241,"corporation":false,"usgs":false,"family":"Blackburn","given":"Terrence","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":816884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jovane, Luigi 0000-0003-4348-4714","orcid":"https://orcid.org/0000-0003-4348-4714","contributorId":259243,"corporation":false,"usgs":false,"family":"Jovane","given":"Luigi","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":816885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217316,"text":"70217316 - 2020 - Dietary patterns in black abalone (Haliotis cracherodii Leach, 1814) as indicated by observation of drift algal and seagrass capture at San Nicolas Island, California USA, 1982‒2019","interactions":[],"lastModifiedDate":"2021-01-18T13:31:49.481694","indexId":"70217316","displayToPublicDate":"2020-04-14T07:29:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Dietary patterns in black abalone (Haliotis cracherodii Leach, 1814) as indicated by observation of drift algal and seagrass capture at San Nicolas Island, California USA, 1982‒2019","docAbstract":"

Black abalone Haliotis cracherodii Leach, 1814 are known to feed on drift plant macrodetritus moved about in the intertidal zone by waves and currents. Drift capture is a trait shared by at least several other abalone species. Drift materials are entrapped beneath the anterior foot and held for ingestion. The quantitative significance of feeding on entrapped drift macrodetritus for black abalone is unknown. Furthermore, there are no published data on the extent to which local and mesoscale spatial distributions of source plant populations influence the composition of drift plant material in black abalone diet as acquired by entrapment. From February 1982 through March 2019, occurrences of macrodetrital entrapment by black abalone were observed in nine rocky intertidal study plots, with a summed surface area of 2,054 m2, on the periphery of San Nicolas Island (SNI), California (Island centroid at ∼33.25°, –119.50°). A small preliminary survey and 27 complete surveys were performed during the study period (mean of ∼1.4 y between complete surveys). During the study, more than 1.5 × 105 black abalone were examined. The total likely included repeated observations of many individuals as a result of the known longevity and limited mobility of the species. Of those observed, ∼1.65 × 103 black abalone were recorded as apparently ingesting entrapped items. Frequency data were dominated (∼95% of all records) by three species of kelp Macrocystis pyrifera (Linnaeus) C. Agardh; commonly known as “giant kelp”, Egregia menziesii (Turner), and Eisenia arborea Areschoug. Of those, giant kelp was the most frequently observed entrapped category (∼76%). Living, attached giant kelp is rarely observed in intertidal habitats at SNI, and it follows that utilization of giant kelp by black abalone requires physical importation of the kelp from other locations. Frequencies of occurrence of giant kelp entrapment by individual study site were clearly associated with the relative surface canopy sizes and persistence patterns of offshore kelp forests adjacent (≤2 km) to the respective study sites. The pattern suggests that subsidies of drift giant kelp to black abalone diet involve mesoscale physical processes largely proximate to SNI but probably not subsidies from more distant locations such as other islands or the California mainland. Utilization of other frequently recorded kelps as food by black abalone likely involves spatial subsidies as well, but on smaller scales of distance (∼10–100 m for E. arborea; ∼0–100 m for E. menziesii). In the context of the imperiled status of black abalone, recovery actions may include outplants of captive-reared animals or transplantation of wild animals from other populations. For such actions, data from SNI suggest a need for consideration of scales of separation among release locations and nearby populations of the three apparently predominant kelp species in black abalone diet.

","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.039.0111","usgsCitation":"Kenner, M.C., and Van Blaricom, G., 2020, Dietary patterns in black abalone (Haliotis cracherodii Leach, 1814) as indicated by observation of drift algal and seagrass capture at San Nicolas Island, California USA, 1982‒2019: Journal of Shellfish Research, v. 39, no. 1, p. 113-124, https://doi.org/10.2983/035.039.0111.","productDescription":"12 p.","startPage":"113","endPage":"124","ipdsId":"IP-114692","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437024,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GVHC4Z","text":"USGS data release","linkHelpText":"Feeding observations of intertidal black abalone at monitored sites around San Nicolas Island, California and local distribution of Macrocystis pyrifera based on surface canopy maps"},{"id":382250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Nicolas Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.63012695312499,\n 33.18468605833171\n ],\n [\n -119.39048767089844,\n 33.18468605833171\n ],\n [\n -119.39048767089844,\n 33.32249604487461\n ],\n [\n -119.63012695312499,\n 33.32249604487461\n ],\n [\n -119.63012695312499,\n 33.18468605833171\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Blaricom, Glenn","contributorId":247778,"corporation":false,"usgs":false,"family":"Van Blaricom","given":"Glenn","email":"","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":808332,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209598,"text":"70209598 - 2020 - Explaining mass balance and retreat dichotomies at Taku and Lemon Creek Glaciers, Alaska","interactions":[],"lastModifiedDate":"2020-04-15T12:13:20.124246","indexId":"70209598","displayToPublicDate":"2020-04-14T07:06:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Explaining mass balance and retreat dichotomies at Taku and Lemon Creek Glaciers, Alaska","docAbstract":"We reanalyzed mass balance records at Taku and Lemon Creek Glaciers to better understand the relative roles of hypsometry, local climate and dynamics as mass balance drivers. Over the 1946–2018 period, the cumulative mass balances diverged. Tidewater Taku Glacier advanced and gained mass at an average rate of +0.25±0.28 m w.e. a–1, contrasting with retreat and mass loss of –0.60±0.15 m w.e. a-1 at land-terminating Lemon Creek Glacier. The uniform influence of regional climate is demonstrated by strong correlations among annual mass balance and climate data. Regional warming trends forced similar statistically significant decreases in surface mass balance after 1989: –0.83 m w.e. a–1 at Taku Glacier and –0.81 m w.e. a–1 at Lemon Creek Glacier. Divergence in cumulative mass balance arises from differences in glacier hypsometry and local climate. Since 2013 negative mass balance and glacier-wide thinning prevailed at Taku Glacier. These changes initiated terminus retreat, which could increase dramatically if calving begins. The future mass balance trajectory of Taku Glacier hinges on dynamics, likely ending the historic dichotomy between these glaciers.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2020.22","collaboration":"","usgsCitation":"McNeil, C., O’Neel, S., Loso, M., Pelto, M., Sass, L., Baker, E., and Campbell, S., 2020, Explaining mass balance and retreat dichotomies at Taku and Lemon Creek Glaciers, Alaska: Journal of Glaciology, 13 p., https://doi.org/10.1017/jog.2020.22.","productDescription":"13 p.","ipdsId":"IP-110862","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":457098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2020.22","text":"Publisher Index Page"},{"id":374002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": 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]\n}","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":787074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":787075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loso, Michael 0000-0001-8414-2310","orcid":"https://orcid.org/0000-0001-8414-2310","contributorId":224115,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","email":"","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":787076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelto, Mauri 0000-0002-9498-9125","orcid":"https://orcid.org/0000-0002-9498-9125","contributorId":224116,"corporation":false,"usgs":false,"family":"Pelto","given":"Mauri","email":"","affiliations":[{"id":40827,"text":"Nichols College","active":true,"usgs":false}],"preferred":false,"id":787077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":787078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5020","displayTitle":"Characterization of Surface-Water and Groundwater Quality on the Fort Berthold Reservation, North Dakota, 2014–17","title":"Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17","docAbstract":"

The Fort Berthold Reservation is in west-central North Dakota and home to the Three Affiliated Tribes. The primary water-resources concerns on the Fort Berthold Reservation are associated with the different types of land uses from agricultural activities and the rapid development of oil and gas resources in western North Dakota. The Three Affiliated Tribes Environmental Department identified the need for long-term water-quality monitoring throughout the Fort Berthold Reservation to better understand the potential effects on surface-water and groundwater quality and to determine if water quality is changing with time. The U.S. Geological Survey, in cooperation with the Three Affiliated Tribes, identified surface-water sites and groundwater wells that represent the water resources in major drainages and the most utilized aquifers on the reservation. A water-quality monitoring program was designed to address data gaps and provide consistent long-term data that can be used to identify potential effects on water quality. During 2014–17, the initial water-quality sampling efforts associated with this program were completed. The efforts provide a current (2019) characterization of water-quality conditions in surface water and groundwater and can assist in establishing a long-term water-quality monitoring program

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205020","collaboration":"Prepared in cooperation with the Three Affiliated Tribes","usgsCitation":"Lundgren, R.F., and Iorio, M.J., 2020, Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17: U.S. Geological Survey Scientific Investigations Report 2020–5020, 37 p., https://doi.org/10.3133/sir20205020.","productDescription":"Report: vii, 37 p.; 1 Table; 6 Appendix Tables","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-112739","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":373821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020.pdf","text":"Report","size":"8.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5020"},{"id":373822,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_table2.xlsx","text":"Table 2","size":"16.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Table 2","linkHelpText":"– Site information for groundwater wells sampled on Fort Berthold Reservation, North Dakota, 2014–17"},{"id":373824,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.2.xlsx","text":"Appendix Table 1.2","size":"30.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.2","linkHelpText":"– Quality-assurance data collected for additional constituents on Fort Berthold Reservation, North Dakota, 2014–17"},{"id":373825,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.3.xlsx","text":"Appendix Table 1.3","size":"30.5 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.3","linkHelpText":"– Summary statistics for water-quality constituents analyzed but not selected for additional discussion in surface water on Fort Berthold Reservation, 2014–17"},{"id":373826,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.4.xlsx","text":"Appendix Table 1.4","size":"21.3 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.4","linkHelpText":"– Summary statistics for historical water-quality constituents at surface-water sites on Fort Berthold Reservation, August 1966 through April 2014"},{"id":373827,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.5.xlsx","text":"Appendix Table 1.5","size":"31.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.5","linkHelpText":"– Summary statistics for water-quality constituents analyzed but not selected for additional discussion in groundwater on Fort Berthold Reservation, 2014–17"},{"id":373828,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table2.1.xlsx","text":"Appendix Table 2.1","size":"593 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 2.1","linkHelpText":"– Summary statistics for historical water-quality constituents in major aquifers on Fort Berthold Reservation, North Dakota"},{"id":373823,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.1.xlsx","text":"Appendix Table 1.1","size":"18.8 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.1","linkHelpText":"– Quality-assurance data collected for selected constituents on Fort Berthold Reservation, North Dakota, 2014–17"},{"id":373820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5020/coverthb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":" Fort Berthold Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.79632568359374,\n 47.428087261714275\n ],\n [\n -101.84326171874999,\n 47.42622912485741\n ],\n [\n -101.84875488281249,\n 47.68018294648414\n ],\n [\n -101.87896728515624,\n 48.004625021133904\n ],\n [\n -102.79632568359374,\n 48.01381248943335\n ],\n [\n -102.79632568359374,\n 47.428087261714275\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":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iorio, Mary J.","contributorId":223081,"corporation":false,"usgs":false,"family":"Iorio","given":"Mary","email":"","middleInitial":"J.","affiliations":[{"id":40667,"text":"Three Affiliated Tribes","active":true,"usgs":false}],"preferred":false,"id":784022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209510,"text":"ofr20201027 - 2020 - Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","interactions":[],"lastModifiedDate":"2020-04-17T15:57:41.04636","indexId":"ofr20201027","displayToPublicDate":"2020-04-13T10:04:52","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":"2020-1027","displayTitle":"Some Approaches to Accounting for Incidental Carcass Discoveries in Non-Monitored Years using the Evidence of Absence Model","title":"Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","docAbstract":"

Executive Summary

We evaluate three approaches to accounting for incidental carcasses when estimating an upper bound on total mortality (\uD835\uDC40) as \uD835\uDC40∗ using the Evidence of Absence model (EoA; Dalthorp and others, 2017) to assess compliance with an Incidental Take Permit (ITP) (Dalthorp & Huso, 2015) under a monitoring protocol that includes formal, dedicated carcass surveys that achieve an overall detection probability of \uD835\uDC54\uD835\uDC60=0.15 in the first year, followed by 4 years with no formal monitoring but with carcasses potentially discovered incidentally by operations and maintenance crews in their normal course of activity or otherwise discovered outside the formal searches. We refer to carcasses discovered incidentally as “incidentals” and define \uD835\uDC65\uD835\uDC56 as the count of incidentals. Similarly, we define \uD835\uDC65\uD835\uDC60 as the number of carcasses found during the formal searches conducted the first year.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201027","usgsCitation":"Dalthorp, Daniel, Rabie, Paul, Huso, Manuela, and Tredennick, Andrew, 2020, Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model: U.S. Geological Survey Open-File Report 2020-1027, 24 p., https://doi.org/10.3133/ofr20201027.","productDescription":"iv, 22 p.","onlineOnly":"Y","ipdsId":"IP-114583","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":373890,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1027/ofr20201027.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1027"},{"id":373889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1027/coverthb.jpg"}],"contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":786721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabie, Paul","contributorId":117423,"corporation":false,"usgs":false,"family":"Rabie","given":"Paul","affiliations":[],"preferred":false,"id":786722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":786723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tredennick, Andrew","contributorId":223964,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":786724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219427,"text":"70219427 - 2020 - Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield","interactions":[],"lastModifiedDate":"2021-04-05T13:13:10.95373","indexId":"70219427","displayToPublicDate":"2020-04-13T08:11:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield","docAbstract":"

The Abu Dabbab rare-metal granite in the Eastern Desert of Egypt is a highly-evolved alkali-feldspar granite with transitional magmatic-hydrothermal features. Extreme geochemical fractionation and the associated significant Ta\"singleSn resource make the Abu Dabbab intrusion an important feature in the metallogenic evolution of the Arabian-Nubian Shield. U\"singlePb dating by laser ablation sector field (SF)-ICPMS analysis of igneous monazite yields a Concordia age of 644.7 ± 2.3 Ma, identical within uncertainty to a lower intercept Tera-Wasserburg isochron age of 644.2 ± 2.3 Ma obtained from hydrothermal cassiterite. Both ages place tight constraints on the timing of magmatic-hydrothermal processes in the Abu Dabbab granite which represents the oldest highly-evolved granite recognized so far in the Pan-African Arabian-Nubian Shield. Thus, the new ages also date the start of a period of late-orogenic metalliferous granite magmatism, when the basement of the Eastern Desert underwent a geodynamic transition from a compressive subduction-collision regime towards orogenic collapse in the late Cryogenian.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gr.2020.03.001","usgsCitation":"Lehmann, B., Zoheir, B., Neymark, L., Zeh, A., Emam, A., Radwan, A., Zhang, R., and Moscati, R.J., 2020, Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield: Gondwana Research, v. 84, p. 71-80, https://doi.org/10.1016/j.gr.2020.03.001.","productDescription":"10 p.","startPage":"71","endPage":"80","ipdsId":"IP-116877","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":437025,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JGODO2","text":"USGS data release","linkHelpText":"U-Pb data for: Monazite and cassiterite U-Pb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield"},{"id":384868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[34.9226,29.50133],[34.64174,29.09942],[34.42655,28.34399],[34.15451,27.8233],[33.92136,27.6487],[33.58811,27.97136],[33.13676,28.41765],[32.42323,29.85108],[32.32046,29.76043],[32.73482,28.70523],[33.34876,27.69989],[34.10455,26.14227],[34.47387,25.59856],[34.79507,25.03375],[35.69241,23.92671],[35.49372,23.75237],[35.52598,23.10244],[36.69069,22.20485],[36.86623,22],[32.9,22],[29.02,22],[25,22],[25,25.6825],[25,29.23865],[24.70007,30.04419],[24.95762,30.6616],[24.80287,31.08929],[25.16482,31.56915],[26.49533,31.58568],[27.45762,31.32126],[28.45048,31.02577],[28.91353,30.87005],[29.68342,31.18686],[30.09503,31.4734],[30.97693,31.55586],[31.68796,31.4296],[31.96041,30.9336],[32.19247,31.26034],[32.99392,31.02407],[33.7734,30.96746],[34.26544,31.21936],[34.9226,29.50133]]]},\"properties\":{\"name\":\"Egypt\"}}]}","volume":"84","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lehmann, Bernd 0000-0003-0762-6543","orcid":"https://orcid.org/0000-0003-0762-6543","contributorId":256943,"corporation":false,"usgs":false,"family":"Lehmann","given":"Bernd","email":"","affiliations":[{"id":51909,"text":"Technical University of Clausthal","active":true,"usgs":false}],"preferred":false,"id":813515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zoheir, Basem 0000-0003-1792-9134","orcid":"https://orcid.org/0000-0003-1792-9134","contributorId":256944,"corporation":false,"usgs":false,"family":"Zoheir","given":"Basem","email":"","affiliations":[{"id":51910,"text":"Benha University","active":true,"usgs":false}],"preferred":false,"id":813516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central 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University","active":true,"usgs":false}],"preferred":false,"id":813519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Radwan, Abdelhady","contributorId":256947,"corporation":false,"usgs":false,"family":"Radwan","given":"Abdelhady","email":"","affiliations":[{"id":51912,"text":"Aswan University","active":true,"usgs":false}],"preferred":false,"id":813520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Rongqing 0000-0002-5145-1595","orcid":"https://orcid.org/0000-0002-5145-1595","contributorId":256948,"corporation":false,"usgs":false,"family":"Zhang","given":"Rongqing","email":"","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":813521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moscati, Richard J. 0000-0002-0818-4401 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Causes and consequences of zero-flow stream gage readings","interactions":[],"lastModifiedDate":"2020-06-09T12:18:02.959693","indexId":"70210544","displayToPublicDate":"2020-04-13T07:14:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Zero or not? Causes and consequences of zero-flow stream gage readings","docAbstract":"

Streamflow observations can be used to understand, predict, and contextualize hydrologic, ecological, and biogeochemical processes and conditions in streams. Stream gages are point measurements along rivers where streamflow is measured, and are often used to infer upstream watershed‐scale processes. When stream gages read zero, this may indicate that the stream has dried at this location; however, zero‐flow readings can also be caused by a wide range of other factors. Our ability to identify whether or not a zero‐flow gage reading indicates a dry fluvial system has far reaching environmental implications. Incorrect identification and interpretation by the data user can lead to inaccurate hydrologic, ecological, and/or biogeochemical predictions from models and analyses. Here, we describe several causes of zero‐flow gage readings: frozen surface water, flow reversals, instrument error, and natural or human‐driven upstream source losses or bypass flow. For these examples, we discuss the implications of zero‐flow interpretations. We also highlight additional methods for determining flow presence, including direct observations, statistical methods, and hydrologic models, which can be applied to interpret causes of zero‐flow gage readings and implications for reach‐ and watershed‐scale dynamics. Such efforts are necessary to improve our ability to understand and predict surface flow activation, cessation, and connectivity across river networks. Developing this integrated understanding of the wide range of possible meanings of zero‐flows will only attain greater importance in a more variable and changing hydrologic climate.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1436","usgsCitation":"Zimmer, M., Kaiser, K.E., Blaszczak, J., Zipper, S., Hammond, J., Fritz, K.M., Costigan, K., Hosen, J.D., Godsey, S., Allen, G.H., Kampf, S.K., Burrow, R., Krabbenhoft, C., Dodds, W., Hale, R., Olden, J., Shanafield, M., DelVecchia, A., Ward, A.S., Mims, M.C., Datry, T., Bogan, M.A., Boersma, K., Busch, M., Jones, N.M., Burgin, A., and Allen, D., 2020, Zero or not? Causes and consequences of zero-flow stream gage readings: WIREs Water, v. 7, no. 3, e1436, 25 p., https://doi.org/10.1002/wat2.1436.","productDescription":"e1436, 25 p.","ipdsId":"IP-112480","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":457103,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/wat2.1436","text":"External Repository"},{"id":437027,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R84W5K","text":"USGS data release","linkHelpText":"Contiguous US and Global streamflow gages measuring zero flow"},{"id":437026,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AB3KL9","text":"USGS data release","linkHelpText":"Sub-annual streamflow responses to rainfall and snowmelt inputs in snow-dominated watersheds of the western 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0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":790599,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":790600,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":790601,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Boersma, Kate 0000-0002-0707-3283","orcid":"https://orcid.org/0000-0002-0707-3283","contributorId":225167,"corporation":false,"usgs":false,"family":"Boersma","given":"Kate","email":"","affiliations":[{"id":41063,"text":"Department of Biology, University of San Diego, San Diego, CA 92105, USA","active":true,"usgs":false}],"preferred":false,"id":790602,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Busch, Michelle 0000-0003-4536-3000","orcid":"https://orcid.org/0000-0003-4536-3000","contributorId":225168,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle","email":"","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790603,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jones, Nathan M.","contributorId":177996,"corporation":false,"usgs":false,"family":"Jones","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790604,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Burgin, Amy","contributorId":140223,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","affiliations":[{"id":13420,"text":"Wright State Univ.","active":true,"usgs":false}],"preferred":false,"id":790605,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790606,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70219495,"text":"70219495 - 2020 - Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness","interactions":[],"lastModifiedDate":"2021-04-12T11:43:09.928113","indexId":"70219495","displayToPublicDate":"2020-04-13T06:36:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness","docAbstract":"

No abstract available. 

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2020.02.007","usgsCitation":"Germino, M., and Lazarus, B.E., 2020, Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness: Rangeland Ecology and Management, v. 73, no. 6, p. 737-740, https://doi.org/10.1016/j.rama.2020.02.007.","productDescription":"4 p.","startPage":"737","endPage":"740","ipdsId":"IP-114474","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2020.02.007","text":"Publisher Index Page"},{"id":384980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington, Idaho, Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.4541015625,\n 47.90161354142077\n ],\n [\n -120.234375,\n 45.89000815866184\n ],\n [\n -116.89453125,\n 45.9511496866914\n ],\n [\n -117.24609374999999,\n 44.402391829093915\n ],\n [\n -116.93847656250001,\n 41.934976500546604\n ],\n [\n -111.09374999999999,\n 41.934976500546604\n ],\n [\n -111.1376953125,\n 44.49650533109348\n ],\n [\n -113.15917968749999,\n 44.59046718130883\n ],\n [\n -114.0380859375,\n 45.521743896993634\n ],\n [\n -114.5654296875,\n 45.27488643704891\n ],\n [\n -114.3896484375,\n 46.558860303117164\n ],\n [\n -110.8740234375,\n 46.31658418182218\n ],\n [\n -110.9619140625,\n 48.980216985374994\n ],\n [\n -120.10253906249999,\n 49.009050809382046\n ],\n [\n -120.4541015625,\n 47.90161354142077\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":813818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813832,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209058,"text":"sim3454 - 2020 - Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018","interactions":[],"lastModifiedDate":"2020-05-01T12:40:28.919954","indexId":"sim3454","displayToPublicDate":"2020-04-13T06:33:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3454","displayTitle":"Bathymetric Survey and Sedimentation Analysis of Lago Carite, Puerto Rico, January 2018","title":"Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018","docAbstract":"

During January 23–30, 2018, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Carite primarily to update estimates of the contemporary reservoir storage capacity and sedimentation rate. Previously designated transect lines were surveyed by using a depth sounder coupled to a differential Global Positioning System to generate a bottom contour map and, ultimately, the stage-storage relation for Lago Carite. Survey results indicated that the storage capacity was 10.0 million cubic meters in 2018; no substantial sedimentation has occurred since the last survey in 1999 and the annual capacity loss is about 0.20 percent of the original reservoir capacity. The useful life of Lago Carite is projected to be 397 years, ending in 2415.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3454","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, J.M., 2020, Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018: U.S. Geological Survey Scientific Investigations Map 3454, 1 sheet, https://doi.org/10.3133/sim3454.","productDescription":"1 Sheet: 36.00 inches x 41.80 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-102375","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":373840,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3454/sim3454.pdf","text":"Sheet","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3454"},{"id":373841,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98B49LM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data for bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018"},{"id":373198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3454/coverthb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Lago Carite","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.1107873916626,\n 18.060925083057324\n ],\n [\n -66.08997344970703,\n 18.060925083057324\n ],\n [\n -66.08997344970703,\n 18.086178958119767\n ],\n [\n -66.1107873916626,\n 18.086178958119767\n ],\n [\n -66.1107873916626,\n 18.060925083057324\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gomez-Fragoso, Julieta M. 0000-0002-1080-2950","orcid":"https://orcid.org/0000-0002-1080-2950","contributorId":223241,"corporation":false,"usgs":true,"family":"Gomez-Fragoso","given":"Julieta","middleInitial":"M.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70211971,"text":"70211971 - 2020 - Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie","interactions":[],"lastModifiedDate":"2020-08-12T20:37:07.753765","indexId":"70211971","displayToPublicDate":"2020-04-12T15:31:46","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":"Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie","docAbstract":"

Since the early 2000s, Lake Erie has been experiencing annual cyanobacterial blooms that often cover large portions of the western basin and even reach into the central basin. These blooms have affected several ecosystem services provided by Lake Erie to surrounding communities (notably drinking water quality). Several modeling efforts have identified the springtime total bioavailable phosphorus (TBP) load as a major driver of maximum cyanobacterial biomass in western Lake Erie, and on this basis, international water management bodies have set a phosphorus (P) reduction goal. This P reduction goal is intended to reduce maximum cyanobacterial biomass, but there has been very limited effort to identify the specific locations within the western basin of Lake Erie that will likely experience the most benefits. Here, we used pixel‐specific linear regression to identify where annual variation in spring TBP loads is most strongly associated with cyanobacterial abundance, as inferred from satellite imagery. Using this approach, we find that annual TBP loads are most strongly associated with cyanobacterial abundance in the central and southern areas of the western basin. At the location of the Toledo water intake, the association between TBP load and cyanobacterial abundance is moderate, and in Maumee Bay (near Toledo, Ohio), the association between TBP and cyanobacterial abundance is no better than a null model. Both of these locations are important for the delivery of specific ecosystem services, but this analysis indicates that P load reductions would not be expected to substantially improve maximum annual cyanobacterial abundance in these locations. These results are preliminary in the sense that only a limited set of models were tested in this analysis, but these results illustrate the importance of identifying whether the spatial distribution of management benefits (in this case P load reduction) matches the spatial distribution of management goals (reducing the effects of cyanobacteria on important ecosystem services).

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6160","usgsCitation":"Larson, J.H., Hlavacek, E., De Jager, N.R., Evans, M.A., and Wynne, T., 2020, Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie: Ecology and Evolution, v. 10, no. 9, p. 3968-3976, https://doi.org/10.1002/ece3.6160.","productDescription":"9 p.","startPage":"3968","endPage":"3976","ipdsId":"IP-111658","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":457106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6160","text":"Publisher Index Page"},{"id":377436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.177490234375,\n 42.00848901572399\n ],\n [\n -83.33404541015625,\n 41.920672548686824\n ],\n [\n -83.47412109375,\n 41.76721469421018\n ],\n [\n -83.47686767578125,\n 41.69547509615208\n ],\n [\n -83.3587646484375,\n 41.67086022030498\n ],\n [\n -83.1610107421875,\n 41.62160222224564\n ],\n [\n -83.056640625,\n 41.582579601430346\n ],\n [\n -82.96875,\n 41.52502957323801\n ],\n [\n -82.957763671875,\n 41.96153247330561\n ],\n [\n -83.177490234375,\n 42.00848901572399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":796027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynne, Timothy","contributorId":147819,"corporation":false,"usgs":false,"family":"Wynne","given":"Timothy","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":796028,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209684,"text":"70209684 - 2020 - Viral, bacterial, and protozoan pathogens and fecal markers in wells supplying groundwater to public water systems in Minnesota, USA","interactions":[],"lastModifiedDate":"2020-04-21T16:00:50.510735","indexId":"70209684","displayToPublicDate":"2020-04-12T10:57:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Viral, bacterial, and protozoan pathogens and fecal markers in wells supplying groundwater to public water systems in Minnesota, USA","docAbstract":"

Drinking water supply wells can be contaminated by a broad range of waterborne pathogens. However, groundwater assessments frequently measure microbial indicators or a single pathogen type, which provides a limited characterization of potential health risk. This study assessed contamination of wells by testing for viral, bacterial, and protozoan pathogens and fecal markers. Wells supplying groundwater to community and noncommunity public water systems in Minnesota, USA (n = 145) were sampled every other month over one or two years and tested using 23 qPCR assays. Eighteen genetic targets were detected at least once, and microbiological contamination was widespread (96% of 145 wells, 58% of 964 samples). The sewage-associated microbial indicators HF183 and pepper mild mottle virus were detected frequently. Human or zoonotic pathogens were detected in 70% of wells and 21% of samples by qPCR, with Salmonella and Cryptosporidium detected more often than viruses. Samples positive by qPCR for adenovirus (HAdV), enterovirus, or Salmonella were analyzed by culture and for genotype or serotype. qPCR-positive Giardia and Cryptosporidium samples were analyzed by immunofluorescent assay (IFA), and IFA and qPCR concentrations were correlated. Comparisons of indicator and pathogen occurrence at the time of sampling showed that total coliforms, HF183, and Bacteroidales-like HumM2 had high specificity and negative predictive values but generally low sensitivity and positive predictive values. Pathogen-HF183 ratios in sewage have been used to estimate health risks from HF183 concentrations in surface water, but in our groundwater samples Cryptosporidium oocyst:HF183 and HAdV:HF183 ratios were approximately 10,000 times higher than ratios reported for sewage. qPCR measurements provided a robust characterization of microbiological water quality, but interpretation of qPCR data in a regulatory context is challenging because few studies link qPCR measurements to health risk.

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Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, James F.","contributorId":214333,"corporation":false,"usgs":false,"family":"Walsh","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":787508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":787509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Lambert, Jane R.","contributorId":214334,"corporation":false,"usgs":false,"family":"de Lambert","given":"Jane","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":787510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Anita C.","contributorId":214336,"corporation":false,"usgs":false,"family":"Anderson","given":"Anita C.","affiliations":[],"preferred":false,"id":787511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rezania, Lih-in W.","contributorId":214337,"corporation":false,"usgs":false,"family":"Rezania","given":"Lih-in","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":787512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kieke, Burney A","contributorId":195802,"corporation":false,"usgs":false,"family":"Kieke","given":"Burney","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":787513,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":787514,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70209647,"text":"70209647 - 2020 - Practical limitations of Earthquake Early Warning","interactions":[],"lastModifiedDate":"2020-08-26T18:46:28.411877","indexId":"70209647","displayToPublicDate":"2020-04-12T06:44:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Practical limitations of Earthquake Early Warning","docAbstract":"Earthquake Early Earning (EEW) entails detection of initial earthquake shaking and rapid estimation and notification to users prior to imminent, stronger shaking. EEW is coming to the U.S. West Coast. But what are the technical and social challenges to delivering actionable information on earthquake shaking before it arrives? Although there will be tangible benefits, there are also limitations. Basic seismological principles, alert communication challenges, and potential response actions as well as substantial lessons learned from the use of EEW in Japan, point to more limited opportunities to warn and protect than perhaps many expect. This is in part because potential warning times vary by region and are influenced by tectonic environment, hypocentral depth, and the fault’s proximity to the alert user. For the U.S. West Coast, particularly for crustal earthquakes, warning times are less impressive—and possible mitigation actions are likely to be less effective—than often maintained. Nevertheless, EEW is an additional arrow in the quiver of earthquake information tools available in the service of earthquake risk reduction. What is called for, then, is transparency and balance in the EEW discussion: along with its potential, the acknowledgement of EEW’s inherent and practical limitations is needed. Recognizing these limitations could, in fact, make EEW implementation more successful as part of a holistic earthquake mitigation strategy, where its role among other earthquake information tools is quite natural.","language":"English","publisher":"SAGE","doi":"10.1177/8755293020911388","usgsCitation":"Wald, D.J., 2020, Practical limitations of Earthquake Early Warning: Earthquake Spectra, v. 36, no. 3, p. 1412-1447, https://doi.org/10.1177/8755293020911388.","productDescription":"36 p.","startPage":"1412","endPage":"1447","ipdsId":"IP-113140","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":457110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/8755293020911388","text":"Publisher Index Page"},{"id":374077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":787362,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208914,"text":"70208914 - 2020 - Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set","interactions":[],"lastModifiedDate":"2020-06-02T23:07:41.618963","indexId":"70208914","displayToPublicDate":"2020-04-11T18:03:18","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set","docAbstract":"

To support global drought early warning, the Climate Hazards Center (CHC) at the University of California, Santa Barbara developed the Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) dataset, in collaboration with the US Geological Survey and NASA SERVIR. Specifically designed to support early warning applications, CHIRPS has high a spatial resolution (0.05°), a long period of record (1981 to the near present), and relatively low latencies. Here we will describe a brief formal analysis of distributional bias in CHIRPS2.0. This analysis reveals, as expected, that CHIRPS2.0 means are very similar to observed station data. However, a closer look suggests that low precipitation values are underestimated and high values are over-estimated in the CHIRPS2.0. We describe a potential correction for this below.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Satellite Precipitation Measurement","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Link","doi":"10.1007/978-3-030-24568-9_23","usgsCitation":"Funk, C., Peterson, P., Landsfeld, M., Davenport, F., Becker, A., Schneider, U., Pedreros, D., McNally, A., Arsenault, K., Harrison, L., and Shukla, S., 2020, Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set, chap. 23 of Satellite Precipitation Measurement, v. 1, p. 409-427, https://doi.org/10.1007/978-3-030-24568-9_23.","productDescription":"19 p.","startPage":"409","endPage":"427","ipdsId":"IP-102891","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":375276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-04-11","publicationStatus":"PW","contributors":{"authors":[{"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":783971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, P.","contributorId":146377,"corporation":false,"usgs":false,"family":"Peterson","given":"P.","email":"","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":783972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landsfeld, Martin","contributorId":192380,"corporation":false,"usgs":false,"family":"Landsfeld","given":"Martin","affiliations":[],"preferred":false,"id":783973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davenport, Frank","contributorId":145816,"corporation":false,"usgs":false,"family":"Davenport","given":"Frank","email":"","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":783974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, A","contributorId":223064,"corporation":false,"usgs":false,"family":"Becker","given":"A","affiliations":[{"id":40663,"text":"Global Precipitation Climatology Centre, Deutscher Wetterdienst Headquarters, Offenbach Germany","active":true,"usgs":false}],"preferred":false,"id":783975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schneider, U","contributorId":223065,"corporation":false,"usgs":false,"family":"Schneider","given":"U","email":"","affiliations":[{"id":40663,"text":"Global Precipitation Climatology Centre, Deutscher Wetterdienst Headquarters, Offenbach Germany","active":true,"usgs":false}],"preferred":false,"id":783976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pedreros, Diego 0000-0001-9943-7373","orcid":"https://orcid.org/0000-0001-9943-7373","contributorId":218659,"corporation":false,"usgs":true,"family":"Pedreros","given":"Diego","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":783977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McNally, Amy","contributorId":145810,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":783978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arsenault, Kristi","contributorId":198836,"corporation":false,"usgs":false,"family":"Arsenault","given":"Kristi","affiliations":[],"preferred":false,"id":783979,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harrison, Laura","contributorId":192382,"corporation":false,"usgs":false,"family":"Harrison","given":"Laura","email":"","affiliations":[],"preferred":false,"id":783980,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shukla, S.","contributorId":147641,"corporation":false,"usgs":false,"family":"Shukla","given":"S.","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":783981,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70206370,"text":"ofr20191115 - 2020 - A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts","interactions":[],"lastModifiedDate":"2024-03-04T19:21:20.997009","indexId":"ofr20191115","displayToPublicDate":"2020-04-10T09:00:00","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":"2019-1115","displayTitle":"A Decision Framework to Analyze Tide-Gate Options for Restoration of the Herring River Estuary, Massachusetts","title":"A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts","docAbstract":"

The collective set of decisions involved with the restoration of degraded wetlands is often more complex than considering only ecological responses and outcomes. Restoration is commonly driven by a complex interaction of social, economic, and ecological factors representing the mandate of resource stewards and the values of stakeholders. The authors worked with the Herring River Restoration Committee (HRRC) to develop a decision framework to understand the implications of complex tradeoffs and to guide decision making for the restoration of the 1,100-acre Herring River estuary within Cape Cod National Seashore, which has been restricted from tidal influence for more than 100 years. The HRRC represents decision maker and stakeholder interests in the restoration process. For a 25-year planning horizon, decisions involve the rate at which newly constructed water-control structures allow tidal exchange, and the timing and location of implementing numerous secondary management options. Decisions affect multiple stakeholders, including residents of two adjacent towns who value the watershed for numerous benefits and whose economy relies on seasonal activities and aquaculture. System response to management decisions is characterized by a high degree of uncertainty and risk with positive and negative outcomes possible. Decision policies will affect biophysical (for example, sediment transport, discharge of fecal coliform bacteria) and ecological (for example, vegetation response, fish passage, effects on shellfish) processes, as well as socioeconomic interests (for example, effects on property, viewscapes, recreation). The framework provides a structured approach for evaluating tradeoffs among multiple objectives (ecological and social) while appropriately characterizing relevant uncertainties and accounting for levels of risk tolerances and the values of decision makers and stakeholders. Consequences of tide-gate management options are predicted using a range of methods from quantitative physical process models to elicited expert judgement. The decision framework is presented, and the software developed to implement the tradeoff analysis is introduced. The results from an initial prototype analysis using a software application developed for analyses of tradeoffs and of sensitivity of the decision to risk and uncertainty are presented. The next step is to use the decision-support application to analyze options using improved predictions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191115","collaboration":"Prepared in cooperation with National Park Service and U.S. Fish and Wildlife Service","usgsCitation":"Smith, D.R., Eaton, M.J., Gannon, J.J., Smith, T.P., Derleth, E.L., Katz, J., Bosma, K.F., and Leduc, E., 2020, A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts: U.S. Geological Survey Open-File Report 2019–1115, 42 p., https://doi.org/10.3133/ofr20191115.","productDescription":"viii, 42 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101813","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":373779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1115/ofr20191115.pdf","text":"Report","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1115"},{"id":373778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1115/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.07286071777344,\n 41.92961289444422\n ],\n [\n -70.02462387084961,\n 41.92961289444422\n ],\n [\n -70.02462387084961,\n 41.96357478222518\n ],\n [\n -70.07286071777344,\n 41.96357478222518\n ],\n [\n -70.07286071777344,\n 41.92961289444422\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-04-10","noUsgsAuthors":false,"publicationDate":"2020-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":774307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":774308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Jill J.","contributorId":220143,"corporation":false,"usgs":false,"family":"Gannon","given":"Jill","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":774309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derleth, Eric L.","contributorId":220145,"corporation":false,"usgs":false,"family":"Derleth","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":774311,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katz, Jonathan","contributorId":220146,"corporation":false,"usgs":false,"family":"Katz","given":"Jonathan","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":774312,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bosma, Kirk F.","contributorId":220147,"corporation":false,"usgs":false,"family":"Bosma","given":"Kirk","email":"","middleInitial":"F.","affiliations":[{"id":40133,"text":"Woods Hole Group","active":true,"usgs":false}],"preferred":false,"id":774313,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leduc, Elise","contributorId":220148,"corporation":false,"usgs":false,"family":"Leduc","given":"Elise","email":"","affiliations":[{"id":40133,"text":"Woods Hole Group","active":true,"usgs":false}],"preferred":false,"id":774314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70209470,"text":"sir20205027 - 2020 - A multidecade analysis of fluvial geomorphic evolution of the Spirit Lake blockage, Mount St. Helens, Washington","interactions":[],"lastModifiedDate":"2020-04-13T16:09:33.61663","indexId":"sir20205027","displayToPublicDate":"2020-04-10T07:31:07","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":"2020-5027","displayTitle":"A Multidecade Analysis of Fluvial Geomorphic Evolution of the Spirit Lake Blockage, Mount St. Helens, Washington","title":"A multidecade analysis of fluvial geomorphic evolution of the Spirit Lake blockage, Mount St. Helens, Washington","docAbstract":"

Volcanic eruptions can affect landscapes in many ways and consequently alter erosion and the fluxes of water and sediment. Hydrologic and geomorphic responses to volcanic disturbances are varied in both space and time, and, in some instances, can persist for decades to centuries. Understanding the broad context of how landscapes respond to eruptions can help inform how they may evolve, and therefore provides context for managing and mitigating hazards associated with future volcanic and hydrologic events. Here, we assess the geomorphic evolution of the upper North Fork Toutle River valley, the valley most heavily affected by the Mount St. Helens May 18 and later 1980s eruptions. By doing so, we provide context for the landscape changes caused by the eruptions as they relate to potential hydrological hazards associated with Spirit Lake, an iconic landform at the northern foot of the volcano. The Spirit Lake basin was transformed by the cataclysmic 1980 eruption and had its outlet blocked. The analyses presented provide context for considerations of potential outlets for Spirit Lake, a landform which might be viewed as a “sleeping giant” on this landscape: a giant capable of causing catastrophic downstream consequences if water is released uncontrollably from the lake.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205027","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, U.S. Forest Service, Gifford Pinchot National Forest","usgsCitation":"Major, J.J., Grant, G.E., Sweeney, K., and Mosbrucker, A.R., 2020, A multidecade analysis of fluvial geomorphic evolution of the Spirit Lake blockage, Mount St. Helens, Washington: U.S. Geological Survey Scientific Investigations Report 2020-5027, 54 p., https://doi.org/10.3133/sir20205027.","productDescription":"vii, 54 p.","onlineOnly":"Y","ipdsId":"IP-109211","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":373866,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5027/sir20205027.pdf","text":"Report","size":"9.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5027"},{"id":373905,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2020/5027/sir20205027_SupplementalDataFile_DF1.xlsx","text":"Supplemental data file DF1","size":"1.9 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5027 Supplemental Data File DF1","linkHelpText":"Estimated long-term daily flow hydrology from North Fork Toutle River, WA, below SRS"},{"id":373865,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5027/coverthb.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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.36984252929688,\n 46.081804301792545\n ],\n [\n -122.01965332031249,\n 46.081804301792545\n ],\n [\n -122.01965332031249,\n 46.39998810407942\n ],\n [\n -122.36984252929688,\n 46.39998810407942\n ],\n [\n -122.36984252929688,\n 46.081804301792545\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Volcano Science Center
Cascades Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court
Vancouver, WA, 98683

","tableOfContents":"","publishedDate":"2020-04-10","noUsgsAuthors":false,"publicationDate":"2020-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":786640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":786641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweeney, Kristin 0000-0002-5674-1217 ksweeney@usgs.gov","orcid":"https://orcid.org/0000-0002-5674-1217","contributorId":194296,"corporation":false,"usgs":true,"family":"Sweeney","given":"Kristin","email":"ksweeney@usgs.gov","affiliations":[],"preferred":true,"id":786642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":33640,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":786643,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211249,"text":"70211249 - 2020 - Black bear movement and food conditioning in an exurban landscape","interactions":[],"lastModifiedDate":"2020-07-22T14:11:35.232544","indexId":"70211249","displayToPublicDate":"2020-04-09T13:46:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Black bear movement and food conditioning in an exurban landscape","docAbstract":"Conflicts between humans and wildlife have become increasingly important challenges for resource managers along the urban‐wildland interface. Food conditioning (i.e., reliance by an animal on anthropogenic foods) of American black bears (Ursus americanus ) is related to conflict behavior (i.e., being bold or aggressive toward humans, consuming human food or garbage, causing property damage) and often occurs in communities adjacent to Great Smoky Mountains National Park (GRSM or Park), USA. The goal of our study was to evaluate black bear space use in GRSM and in exurban areas on surrounding private lands and to identify factors associated with food conditioning and conflict behavior. We radio‐collared 53 bears (29 males, 24 females) from 2015 to 2017 to compare space use characteristics and used carbon isotopic signatures (δ13C) from bear hair to assess food conditioning. We then performed an integrated step selection function (iSSF) analysis to characterize and compare movement and resource use as related to food conditioning. Based on the stable isotope analyses, 24 bears were classified as food conditioned (FC; 16 males and 8 females) and 37 were not food conditioned (NFC; 14 males and 23 females). Annual 95% kernel density estimate (KDE) home ranges and 50% KDE core area estimates of female and male bears did not differ by level of food conditioning (i.e., mean δ13C), but 95% and 50% home ranges of FC females were smaller than NFC females when data from 2015, a year of food scarcity and abnormally large home ranges, were excluded. The mean proportion of exurban development (e.g., roads, buildings, openings) within 95% KDE and 50% KDE home ranges of females increased with mean δ13C (i.e., greater food conditioning). The iSSF models indicated that FC bears were more likely to use forest openings associated with higher levels of development than NFC bears. We used those models to demonstrate how landscape modifications can reduce bear use of exurban areas, particularly for NFC bears. Our stable isotope, movement, and resource use data indicate that conflict behaviors displayed by many bears within GRSM were learned in areas outside Park boundaries. © 2020 The Wildlife Society.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21870","usgsCitation":"Braunstein, J., Clark, J.D., Williamson, R.H., and Stiver, W., 2020, Black bear movement and food conditioning in an exurban landscape: Journal of Wildlife Management, v. 84, no. 6, p. 1038-1050, https://doi.org/10.1002/jwmg.21870.","productDescription":"13 p.","startPage":"1038","endPage":"1050","ipdsId":"IP-116428","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":376574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, North Carolina","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.9959716796875,\n 35.570214567965984\n ],\n [\n -83.98635864257812,\n 35.505400093441295\n ],\n [\n -83.81057739257814,\n 35.420391545750775\n ],\n [\n -83.61831665039062,\n 35.40696093270201\n ],\n [\n -83.36563110351564,\n 35.420391545750775\n ],\n [\n -83.21731567382814,\n 35.50092819950356\n ],\n [\n -83.02505493164064,\n 35.483038134069574\n ],\n [\n -82.9632568359375,\n 35.58361791939279\n ],\n [\n -82.95089721679689,\n 35.663990911348094\n ],\n [\n -83.02093505859376,\n 35.75765724051559\n ],\n [\n -83.1390380859375,\n 35.78662688467007\n ],\n [\n -83.26538085937501,\n 35.7843988251953\n ],\n [\n -83.32717895507814,\n 35.787740890986576\n ],\n [\n -83.38348388671876,\n 35.756542812691876\n ],\n [\n -83.45764160156251,\n 35.72979186282792\n ],\n [\n -83.50982666015625,\n 35.71641301732958\n ],\n [\n -83.54827880859375,\n 35.70972275209277\n ],\n [\n -83.59359741210939,\n 35.71083783530009\n ],\n [\n -83.68423461914062,\n 35.679609609368555\n ],\n [\n -83.80783081054689,\n 35.68072511370387\n ],\n [\n -83.90945434570314,\n 35.65841206428204\n ],\n [\n -83.95477294921874,\n 35.631628173298445\n ],\n [\n -83.9959716796875,\n 35.570214567965984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Braunstein, Jessica","contributorId":229510,"corporation":false,"usgs":false,"family":"Braunstein","given":"Jessica","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":793407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":793408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Ryan H","contributorId":229511,"corporation":false,"usgs":false,"family":"Williamson","given":"Ryan","email":"","middleInitial":"H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stiver, William H","contributorId":228824,"corporation":false,"usgs":false,"family":"Stiver","given":"William H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218230,"text":"70218230 - 2020 - Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges","interactions":[],"lastModifiedDate":"2021-02-19T18:05:39.431635","indexId":"70218230","displayToPublicDate":"2020-04-09T12:01:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges","docAbstract":"Unoccupied aircraft systems (UAS) are developing into fundamental tools for tackling the grand challenges in volcanology; here, we review the systems used and their diverse applications. UAS can typically provide image and topographic data at two orders of magnitude better spatial resolution than space-based remote sensing, and close-range observations at temporal resolutions down to those of video frame rates. Responsive deployments facilitate dense time-series measurements, unique opportunities for geophysical surveys, sample collection from hostile environments such as volcanic plumes and crater lakes, and emergency deployment of ground-based sensors (and robots) into hazardous regions. UAS have already been used to support hazard management and decision-makers during eruptive crises. As technologies advance, increased system capabilities, autonomy and availability, supported by more diverse and lighter-weight sensors, will offer unparalleled potential for hazard monitoring. UAS are expected to provide opportunities for pivotal advances in our understanding of complex physical and chemical volcanic processes.","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.03.01.67114","usgsCitation":"James, M.R., Carr, B., D’Arcy, F., Diefenbach, A., Dietterich, H., Fornaciai, A., Lev, E., Liu, E.J., Pieri, D.C., Rodgers, M., Smets, B., Terada, A., von Aulock, F.W., Walter, T.R., Wood, K.T., and Zorn, E.U., 2020, Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges: Volcanica, v. 3, no. 1, p. 67-114, https://doi.org/10.30909/vol.03.01.67114.","productDescription":"48 p.","startPage":"67","endPage":"114","ipdsId":"IP-112178","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":457115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.03.01.67114","text":"Publisher Index Page"},{"id":383379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"James, Mike R.","contributorId":199802,"corporation":false,"usgs":false,"family":"James","given":"Mike","email":"","middleInitial":"R.","affiliations":[{"id":13133,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, UK","active":true,"usgs":false}],"preferred":false,"id":810520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Brett B 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":251755,"corporation":false,"usgs":false,"family":"Carr","given":"Brett B","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":810521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Arcy, Fiona 0000-0002-0879-0508","orcid":"https://orcid.org/0000-0002-0879-0508","contributorId":251756,"corporation":false,"usgs":false,"family":"D’Arcy","given":"Fiona","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":810522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fornaciai, Alessandro 0000-0003-4829-4928","orcid":"https://orcid.org/0000-0003-4829-4928","contributorId":251757,"corporation":false,"usgs":false,"family":"Fornaciai","given":"Alessandro","email":"","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":810525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":810526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Emma J 0000-0003-1749-9285","orcid":"https://orcid.org/0000-0003-1749-9285","contributorId":251758,"corporation":false,"usgs":false,"family":"Liu","given":"Emma","email":"","middleInitial":"J","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":810527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pieri, David C.","contributorId":211514,"corporation":false,"usgs":false,"family":"Pieri","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":810528,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rodgers, Mel 0000-0002-8809-9935","orcid":"https://orcid.org/0000-0002-8809-9935","contributorId":251759,"corporation":false,"usgs":false,"family":"Rodgers","given":"Mel","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":810529,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smets, Benoit 0000-0002-1044-8314","orcid":"https://orcid.org/0000-0002-1044-8314","contributorId":251760,"corporation":false,"usgs":false,"family":"Smets","given":"Benoit","email":"","affiliations":[{"id":50395,"text":"Royal Museum for Central Africa","active":true,"usgs":false}],"preferred":false,"id":810530,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Terada, Akihiko 0000-0001-5746-4912","orcid":"https://orcid.org/0000-0001-5746-4912","contributorId":251761,"corporation":false,"usgs":false,"family":"Terada","given":"Akihiko","email":"","affiliations":[{"id":38251,"text":"Tokyo Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":810531,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"von Aulock, Felix W 0000-0003-1194-4317","orcid":"https://orcid.org/0000-0003-1194-4317","contributorId":251762,"corporation":false,"usgs":false,"family":"von Aulock","given":"Felix","email":"","middleInitial":"W","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":810532,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Walter, Thomas R.","contributorId":199803,"corporation":false,"usgs":false,"family":"Walter","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":16947,"text":"German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":810533,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wood, Kieran T 0000-0002-5804-7704","orcid":"https://orcid.org/0000-0002-5804-7704","contributorId":251763,"corporation":false,"usgs":false,"family":"Wood","given":"Kieran","email":"","middleInitial":"T","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":810534,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zorn, Edgar U 0000-0002-1896-2844","orcid":"https://orcid.org/0000-0002-1896-2844","contributorId":251764,"corporation":false,"usgs":false,"family":"Zorn","given":"Edgar","email":"","middleInitial":"U","affiliations":[{"id":39797,"text":"GFZ German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":810535,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70210589,"text":"70210589 - 2020 - Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics","interactions":[],"lastModifiedDate":"2020-08-06T19:32:51.734887","indexId":"70210589","displayToPublicDate":"2020-04-09T10:52:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics","docAbstract":"

Plant community responses to biocontrol of invasive plants are understudied, despite the strong influence of the composition of replacement vegetation on ecosystem functions and services. We studied the vegetation response to a folivore beetle (Diorhabda genus, Coleoptera) that has been introduced along southwestern US river valleys to control the invasion of non-native shrubs in the genus Tamarix (Tamaricaceae). We collected detailed plant compositional and environmental data during four different surveys over 7 years (2010–2017), including two surveys prior to when substantial beetle-induced dieback occurred in summer 2012, along the lower Virgin River, Nevada. The study river was of special interest because it is one of only a few largely unregulated rivers in the region, and a large flood of 40-year return period occurred between the first and second surveys, allowing us to study the combined effects of fluvial processes, which typically drive riparian plant community assembly, and biocontrol. Vegetation trajectories differed as a function of the dominant geomorphological process. Tamarix cover declined an average of 75% and was replaced by the native shrub Pluchea sericea as the new dominant species in the floodplain, especially where sediment deposition predominated. Following deposition, and especially erosion, opportunistic native herbs, Tamarix seedlings, and noxious weeds colonized the understory layer but did not increase in cover over time. Stands of the native shrub Salix exigua, a desirable replacement species following Tamarix control, only increased slightly and remained subordinate in the floodplain. Overall, our results showed that, by successfully controlling the target non-native plant, a biocontrol agent can substantially modify the replacement plant communities in a riparian system, but that fluvial processes also strongly influence the resulting communities.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-020-02259-9","usgsCitation":"Gonzalez, E., Shafroth, P., Lee, S.R., Ostoja, S., and Brooks, M.L., 2020, Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics: Biological Invasions, v. 22, p. 2339-2356, https://doi.org/10.1007/s10530-020-02259-9.","productDescription":"18 p.","startPage":"2339","endPage":"2356","ipdsId":"IP-117377","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437028,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97KZJGP","text":"USGS data release","linkHelpText":"Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017"},{"id":375517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Virgin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.55419921875,\n 36.328402729422656\n ],\n [\n -113.02734374999999,\n 36.328402729422656\n ],\n [\n -113.02734374999999,\n 37.496652341233364\n ],\n [\n -115.55419921875,\n 37.496652341233364\n ],\n [\n -115.55419921875,\n 36.328402729422656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzalez, Eduardo","contributorId":225181,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":790705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":790706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostoja, Steven M.","contributorId":225183,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven M.","affiliations":[{"id":32922,"text":"USDA California Climate Hub","active":true,"usgs":false}],"preferred":false,"id":790708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790709,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210107,"text":"70210107 - 2020 - Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles","interactions":[],"lastModifiedDate":"2020-05-14T15:14:47.624852","indexId":"70210107","displayToPublicDate":"2020-04-09T10:10:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles","docAbstract":"

Along migration corridors, animals can face natural and anthropogenic threats that differ from those in breeding and non-breeding residence areas. Satellite telemetry can aid in describing the timing and location of these migrations. We use this tool with switching state-space modeling and line kernel density estimates to identify migration corridors of post-nesting adult female loggerhead sea turtles (Caretta caretta, n = 89 tracks) that nested at five beaches in the Gulf of Mexico. Turtles migrated in both neritic and oceanic areas of the Gulf of Mexico with some exiting the Gulf. High-use migration corridors were found in neritic areas to the west of Florida and also in the Florida Straits. Repeat tracking of post-nesting migrations for eight turtles showed variability in track overlap, ranging from ∼13 to 82% of tracks within 10 km of each other. Migration primarily occurred in July and August. We document the longest known post-nesting migration to-date of a wild adult female loggerhead of >4,300 km, along with an apparent stopover of about 1 month. Migration corridors overlaid on three spatially explicit anthropogenic threats (shipping density, commercial line fishing, and shrimp trawling) showed hotspots in the Florida Straits, off the northwest Florida coast and off the coast of Tampa Bay. Identifying where and at what intensity multiple human activities and natural processes most likely occur is a key goal of Cumulative Effects Assessments. Our results provide the scientific information needed for designing management strategies for this threatened species. Information about this loggerhead migration corridor can also be used to inform adaptive management as threats shift over time.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00208","collaboration":"","usgsCitation":"Iverson, A., Benscoter, A., Fujisaki, I., Lamont, M., and Hart, K., 2020, Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles: Frontiers in Marine Science, v. 7, 208, 12 p., https://doi.org/10.3389/fmars.2020.00208.","productDescription":"208, 12 p.","ipdsId":"IP-113942","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00208","text":"Publisher Index Page"},{"id":374824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.0576171875,\n 23.28171917560002\n ],\n [\n -80.5517578125,\n 26.07652055985697\n ],\n [\n -82.2216796875,\n 27.68352808378776\n ],\n [\n -83.84765625,\n 30.14512718337613\n ],\n [\n -86.923828125,\n 30.44867367928756\n ],\n [\n -89.3408203125,\n 30.183121842195515\n ],\n [\n -90.8349609375,\n 29.458731185355344\n ],\n [\n -89.3408203125,\n 22.268764039073968\n ],\n [\n -79.0576171875,\n 23.28171917560002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Autumn 0000-0002-8353-6745","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":218320,"corporation":false,"usgs":true,"family":"Iverson","given":"Autumn","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":220759,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":789142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206815,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":207590,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219554,"text":"70219554 - 2020 - Magnitude and direction of stream–forest community interactions change with timescale","interactions":[],"lastModifiedDate":"2021-04-13T12:51:49.847707","indexId":"70219554","displayToPublicDate":"2020-04-09T07:50:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Magnitude and direction of stream–forest community interactions change with timescale","docAbstract":"

Networks of direct and indirect biotic interactions underpin the complex dynamics and stability of ecological systems, yet experimental and theoretical studies often yield conflicting evidence regarding the direction (positive or negative) or magnitude of these interactions. We revisited pioneering data sets collected at the deciduous forested Horonai Stream and conducted ecosystem‐level syntheses to demonstrate that the direction of direct and indirect interactions can change depending on the timescale of observation. Prior experimental studies showed that terrestrial prey that enter the stream from the adjacent forest caused positive indirect effects on aquatic invertebrates during summer by diverting fish consumption. Seasonal and annual estimates of secondary production and organic matter flows along food web pathways demonstrate that this seasonal input of terrestrial invertebrate prey increases production of certain fish species, reversing the indirect effect on aquatic invertebrates from positive at the seasonal timescale to negative at the annual timescale. Even though terrestrial invertebrate prey contributed 54% of the annual organic matter flux to fishes, primarily during summer, fish still consumed 98% of the aquatic invertebrate annual production, leading to top‐down control that is not revealed in short‐term experiments and demonstrating that aquatic prey may be a limiting resource for fishes. Changes in the direction or magnitude of interactions may be a key factor creating nonlinear or stabilizing feedbacks in complex systems, and these dynamics can be revealed by merging experimental and comparative approaches at different scales.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3064","usgsCitation":"Marcarelli, A.M., Baxter, C., Benjamin, J.R., Miyake, Y., Murakami, M., Fausch, K., and Nakano, S., 2020, Magnitude and direction of stream–forest community interactions change with timescale: Ecology, v. 101, no. 8, e03064, 10 p., https://doi.org/10.1002/ecy.3064.","productDescription":"e03064, 10 p.","ipdsId":"IP-109993","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":385052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Marcarelli, Amy M 0000-0002-4175-9211","orcid":"https://orcid.org/0000-0002-4175-9211","contributorId":257363,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy","email":"","middleInitial":"M","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":814126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":814127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","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":814128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyake, Yo 0000-0002-3838-2513","orcid":"https://orcid.org/0000-0002-3838-2513","contributorId":257366,"corporation":false,"usgs":false,"family":"Miyake","given":"Yo","email":"","affiliations":[{"id":52005,"text":"Ehime University","active":true,"usgs":false}],"preferred":false,"id":814129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murakami, Masashi 0000-0003-4374-4045","orcid":"https://orcid.org/0000-0003-4374-4045","contributorId":257367,"corporation":false,"usgs":false,"family":"Murakami","given":"Masashi","email":"","affiliations":[{"id":37962,"text":"Chiba University","active":true,"usgs":false}],"preferred":false,"id":814130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fausch, K.D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":84097,"corporation":false,"usgs":false,"family":"Fausch","given":"K.D.","affiliations":[],"preferred":false,"id":814131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nakano, Shigeru","contributorId":257368,"corporation":false,"usgs":false,"family":"Nakano","given":"Shigeru","email":"","affiliations":[{"id":36662,"text":"Kyoto University","active":true,"usgs":false}],"preferred":false,"id":814132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}