Coastal regions worldwide face increasing management concerns due to natural and anthropogenic forces that have the potential to significantly degrade nearshore marine resources. The goal of our study was to develop and test a monitoring strategy for nearshore marine ecosystems in remote areas that are not readily accessible for sampling. Mussel species have been used extensively to assess ecosystem vulnerability to multiple, interacting stressors. We sampled bay mussels (Mytilus trossulus) in 2015 and 2016 from six intertidal sites in Lake Clark and Katmai National Parks and Preserves, in south-central Alaska. Reference ranges for physiological assays and gene transcription were determined for use in future assessment efforts. Both techniques identified differences among sites, suggesting influences of both large-scale and local environmental factors and underscoring the value of this combined approach to ecosystem health monitoring.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.7800","usgsCitation":"Counihan, K., Bowen, L., Ballachey, B., Coletti, H.A., Hollman, T., Pister, B., and Wilson, T.L., 2019, Physiological and gene transcription assays to assess responses of mussels to environmental changes: PeerJ, e7800, 33 p., https://doi.org/10.7717/peerj.7800.","productDescription":"e7800, 33 p.","ipdsId":"IP-110459","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.7800","text":"Publisher Index Page"},{"id":368198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve, Lake Clark National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.4453125,\n 57.961503094284794\n ],\n [\n -152.490234375,\n 57.961503094284794\n ],\n [\n -152.490234375,\n 60.13056361691419\n ],\n [\n -156.4453125,\n 60.13056361691419\n ],\n [\n -156.4453125,\n 57.961503094284794\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Counihan, Katrina","contributorId":140780,"corporation":false,"usgs":false,"family":"Counihan","given":"Katrina","affiliations":[{"id":13561,"text":"Alaska Sea Life Center, Seward, AK","active":true,"usgs":false}],"preferred":false,"id":772836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":772835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":219667,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":772837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":772838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollman, Tuula","contributorId":219668,"corporation":false,"usgs":false,"family":"Hollman","given":"Tuula","email":"","affiliations":[{"id":40045,"text":"College of Fisheries and Ocean Sciences, Alaska Sea Life Center and University of Alaska","active":true,"usgs":false}],"preferred":false,"id":772839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pister, Benjamin","contributorId":219669,"corporation":false,"usgs":false,"family":"Pister","given":"Benjamin","email":"","affiliations":[{"id":40046,"text":"Ocean Alaska Science and Learning Center, National Park Service","active":true,"usgs":false}],"preferred":false,"id":772840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Tammy L","contributorId":219670,"corporation":false,"usgs":false,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L","affiliations":[{"id":40047,"text":"7Department of Natural Resource Management, South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":772841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208122,"text":"70208122 - 2019 - Estimating sightability of greater sage-grouse at leks using an aerial infrared system and N-mixture models","interactions":[],"lastModifiedDate":"2020-01-29T16:24:01","indexId":"70208122","displayToPublicDate":"2019-10-03T13:36:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating sightability of greater sage-grouse at leks using an aerial infrared system and N-mixture models","docAbstract":"Counts of grouse present at leks (breeding grounds) during spring are widely used to monitor population numbers and assess trends. However, only a proportion of birds available to count are detected resulting in a biased population index. We designed a study using an aerial integrated infrared imaging system (AIRIS) and experimental pseudo-leks to quantify sightability (proportion of birds detected) of conventional ground-based visual (GBV) surveys for greater sage-grouse Centrocercus urophasianus. Specifically, we calibrated AIRIS at pseudo-leks composed of known numbers of captively-raised birds, primarily ring-necked pheasant Phasianus colchicus. We then carried out AIRIS and GBV surveys, simultaneously, on nearby sage-grouse leks, allowing us to model AIRIS and GBV sightability. AIRIS detected ∼93% of birds on pseudo-leks while GBV detected ∼86% of sage-grouse on leks. Thus, the ground count observation error was –14% from the ‘true' number of male sage-grouse attending the leks. We also found sagebrush cover decreased sightability for GBV counts but did not influence sightability by AIRIS. Because standard GBV protocols typically make repeated counts of sage-grouse in a single morning, we also modeled repeated GBV counts using N-mixture models and found an 88% sightability, which was nearly the same as GBV sightability from the AIRIS analysis. This suggests that the use of repeated morning counts can potentially account for imperfect detection in the standard GBV surveys currently implemented. We also provide generalized correction values that could be employed by resource managers using either GBV or AIRIS to better estimate ‘true’ numbers of sage-grouse attending leks within similar environments to this study. The findings and interpretation presented can help guide effective monitoring protocols that account for observation error and improve accuracy of data used for population trend and abundance estimation.
","language":"English","publisher":"BioONE","doi":"10.2981/wlb.00552","usgsCitation":"Coates, P.S., Wann, G.T., Gillette, G.L., Ricca, M.A., Prochazka, B.G., Severson, J.P., Andrle, K.M., Espinosa, S.P., Casazza, M.L., and Delehanty, D.J., 2019, Estimating sightability of greater sage-grouse at leks using an aerial infrared system and N-mixture models: Wildlife Biology, v. 2019, no. 1, wlb.00552, 11 p., https://doi.org/10.2981/wlb.00552.","productDescription":"wlb.00552, 11 p.","ipdsId":"IP-100795","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00552","text":"Publisher Index Page"},{"id":371652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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2019","interactions":[],"lastModifiedDate":"2019-10-04T06:18:29","indexId":"fs20193044","displayToPublicDate":"2019-10-03T10:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3044","displayTitle":"Assessment of Undiscovered Continuous Oil and Gas Resources in the Upper Ordovician Point Pleasant Formation and Utica Shale of the Appalachian Basin Province, 2019","title":"Assessment of undiscovered continuous oil and gas resources in the Upper Ordovician Point Pleasant Formation and Utica Shale of the Appalachian Basin Province, 2019","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable continuous mean resources of 1.8 billion barrels of oil and 117.2 trillion cubic feet of gas in the Upper Ordovician Point Pleasant Formation and Utica Shale of the Appalachian Basin Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193044","usgsCitation":"Enomoto, C.B., Trippi, M.H., Higley, D.K., Drake, R.M., II, Gaswirth, S.B., Mercier, T.J., Brownfield, M.E., Leathers-Miller, H.M., Le, P.A., Marra, K.R., Tennyson, M.E., Woodall, C.A., and Schenk, C.J., 2019, Assessment of undiscovered continuous oil and gas resources in the Upper Ordovician Point Pleasant Formation and Utica Shale of the Appalachian Basin Province, 2019: U.S. Geological Survey Fact Sheet 2019–3044, 2 p., https://doi.org/10.3133/fs20193044.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":437313,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93RVVAL","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Appalachian Basin Province, Point Pleasant Formation and Utica Shale Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":367873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3044/coverthb.jpg"},{"id":367874,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3044/fs20193044.pdf","text":"Report","size":"848 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3044"},{"id":367898,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93RVVAL ","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Appalachian Basin Province, Point Pleasant Formation and Utica Shale Assessment Unit Boundaries and Assessment Input Data Forms"}],"country":"United States","state":"New York, Ohio, Pennsylvania, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.407958984375,\n 38.16047628099622\n ],\n [\n -74.981689453125,\n 38.16047628099622\n ],\n [\n -74.981689453125,\n 42.94838139765314\n ],\n [\n -84.407958984375,\n 42.94838139765314\n ],\n [\n -84.407958984375,\n 38.16047628099622\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable continuous mean resources of 96.5 trillion cubic feet of gas in the Middle Devonian Marcellus Shale of the Appalachian Basin Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston,VA","doi":"10.3133/fs20193050","usgsCitation":"Higley, D.K., Enomoto, C.B., Leathers-Miller, H.M., Ellis, G.S., Mercier, T.J., Schenk, C.J., Trippi, M.H., Le, P.A., Brownfield, M.E., Woodall, C.A., Marra, K.R., and Tennyson, M.E., 2019, Assessment of undiscovered gas resources in the Middle Devonian Marcellus Shale of the Appalachian Basin Province, 2019: U.S. Geological Survey Fact Sheet 2019–3050, 2 p., https://doi.org/10.3133/fs20193050.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"N","ipdsId":"IP-108590","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":382921,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/70207372","text":"Controls on Petroleum Resources for the Devonian Marcellus Shale in the Appalachian Basin Province, Kentucky, West Virginia, Ohio, Pennsylvania, and New York"},{"id":382920,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/70217792","text":"Burial History Reconstruction of the Appalachian Basin in Kentucky, West Virginia, Ohio, Pennsylvania, and New York, Using 1D Petroleum System Models"},{"id":367867,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3050/fs20193050.pdf","text":"Report","size":"984 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3050"},{"id":367866,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3050/coverthb.jpg"},{"id":367907,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S948U5","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Appalachian Basin Province, Middle Devonian Marcellus Shale Assessment Units and Input Data Forms"}],"country":"United States","state":"Maryland, New York, Ohio, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Middle Devonian Marcellus Shale","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.73779296875,\n 36.56260003738545\n ],\n [\n -74.102783203125,\n 36.56260003738545\n ],\n [\n -74.102783203125,\n 43.052833917627936\n ],\n [\n -83.73779296875,\n 43.052833917627936\n ],\n [\n -83.73779296875,\n 36.56260003738545\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Recent studies of subaerial volcano carbon flux have challenged previous assumptions about carbon recycling in the mantle and the ratio of ingassing to outgassing. This chapter reviews the current state of knowledge of the flux of carbon from subaerial volcanoes at subduction zones and intraplate locations, as well as through diffuse degassing away from volcanic vents. It also reviews the importance of crustal carbonate assimilation and carbonate platforms on these fluxes. The chapter presents an overview of how these fluxes are estimated – including descriptions of new technologies and recent field campaigns – and the timescales of flux measurements. It also summarizes what is currently known about the flux of carbon versus other volatile elements in these various settings.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Deep carbon: Past to present","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","usgsCitation":"Werner, C.A., Fischer, T., Aiuppa, A., Edmonds, M., Cardellini, C., Carn, S., Chiodini, G., Cottrell, E., Burton, M., Shinohara, H., and Allard, P., 2019, Carbon dioxide emissions from subaerial volcanic regions: Two decades in review, chap. 8 of Deep carbon: Past to present, p. 188-236.","productDescription":"49 p.","startPage":"188","endPage":"236","ipdsId":"IP-102656","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465754,"rank":1,"type":{"id":15,"text":"Index 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Alessandro","contributorId":173677,"corporation":false,"usgs":false,"family":"Aiuppa","given":"Alessandro","affiliations":[{"id":27272,"text":"Dipartimento DiSTeM, Università di Palermo, Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":922495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmonds, Marie 0000-0003-1243-137X","orcid":"https://orcid.org/0000-0003-1243-137X","contributorId":272602,"corporation":false,"usgs":false,"family":"Edmonds","given":"Marie","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":922496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cardellini, Carlo","contributorId":52785,"corporation":false,"usgs":false,"family":"Cardellini","given":"Carlo","email":"","affiliations":[],"preferred":false,"id":922497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carn, 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Manchester, UK","active":true,"usgs":false}],"preferred":false,"id":922501,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shinohara, Hiroshi","contributorId":347809,"corporation":false,"usgs":false,"family":"Shinohara","given":"Hiroshi","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":922502,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Allard, Patrick","contributorId":347812,"corporation":false,"usgs":false,"family":"Allard","given":"Patrick","affiliations":[{"id":30776,"text":"Institut de Physique du Globe de Paris","active":true,"usgs":false}],"preferred":false,"id":922503,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70205782,"text":"70205782 - 2019 - Reaffirmed occurrence of two vulnerable caddisfly species of conservation concern","interactions":[],"lastModifiedDate":"2019-10-07T09:16:57","indexId":"70205782","displayToPublicDate":"2019-10-03T08:20:15","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Reaffirmed Occurrence of Two Vulnerable Caddisfly Species of Conservation Concern","title":"Reaffirmed occurrence of two vulnerable caddisfly species of conservation concern","docAbstract":"Maramec Spring is home to two Ozark endemic caddisfly Species of Conservation Concern (SOCC). The Missouri Glyphospsyche Caddisfly, Glyphospsyche missouri, (Critically Imperiled; State Rank-S1; Global Rank-G1) is known from Maramec Spring and the receiving spring branch and nowhere else in the world. Similarly, the Artesian Agapetus Caddisfly, Agapetus artesus, (Vulnerable; State Rank-S3 and Global Rank-G3) is known to occur only at Maramec Spring, Greer Spring, and a single reach of the Eleven Point River. Both species are considered representative fauna of Caves/Karst (Springs) habitat systems described in the Missouri State Wildlife Action Plan. However, little is known about distribution, life history, environmental requirements, or tolerance to environmental stress of either species. Further, prior to this study, it had been 14 years since G. missouri was last recorded to occur at Maramec Spring or the receiving spring branch, and 29 years since A. artesus was last documented to occur at Maramec Spring. On 15 November 2017, a team conducted reconnaissance of Maramec Spring Branch and of the Meramec River immediately downstream from the confluence of the spring branch to document occurrence and characterize aquatic habitat of immature life-stages (larvae and/or pupae) of the species, if found. A second visit was made on 10, January 2018.
","language":"English","publisher":"MDC Resource Science","usgsCitation":"Mabee, W., Schuhmann, A., Poulton, B.C., Girondo, J., Swee, W., Buckley, T., Bowles, D., Bowles, B., and Rhodes, R., 2019, Reaffirmed occurrence of two vulnerable caddisfly species of conservation concern, v. 14, no. 1, 2 p.","productDescription":"2 p.","ipdsId":"IP-096794","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":367948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367947,"type":{"id":15,"text":"Index Page"},"url":"https://research.mdc.mo.gov/sites/default/files/papers/Volume%2014%20No%201%20Caddisfly.pdf"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mabee, William","contributorId":219474,"corporation":false,"usgs":false,"family":"Mabee","given":"William","affiliations":[{"id":40003,"text":"Missouri Department of Conservation, Central Region Office and Conservation Research Center, 3500 E. Gans Rd., Columbia MO","active":true,"usgs":false}],"preferred":false,"id":772328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuhmann, Andrea","contributorId":219475,"corporation":false,"usgs":false,"family":"Schuhmann","given":"Andrea","affiliations":[{"id":40004,"text":"Missouri Department of Conservation, St. Louis Regional Office, 2360 Hwy D, St. Charles, MO","active":true,"usgs":false}],"preferred":false,"id":772329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":772327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Girondo, Jennifer","contributorId":219476,"corporation":false,"usgs":false,"family":"Girondo","given":"Jennifer","email":"","affiliations":[{"id":40005,"text":"Missouri Department of Conservation, Meramec Work Station, 3220 S. Hwy 185, Sullivan, MO","active":true,"usgs":false}],"preferred":false,"id":772330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swee, Wes","contributorId":219477,"corporation":false,"usgs":false,"family":"Swee","given":"Wes","email":"","affiliations":[{"id":40006,"text":"Missouri Department of Conservation, Maramec Spring Fish Hatchery, 21304 Maramec Spring Dr., St. James, MO","active":true,"usgs":false}],"preferred":false,"id":772331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buckley, Tealetha","contributorId":219478,"corporation":false,"usgs":false,"family":"Buckley","given":"Tealetha","email":"","affiliations":[{"id":40007,"text":"James Foundation, Maramec Spring Park Service Office, 21304, Maramec Spring Dr., St. James, MO","active":true,"usgs":false}],"preferred":false,"id":772332,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bowles, David","contributorId":219479,"corporation":false,"usgs":false,"family":"Bowles","given":"David","affiliations":[{"id":40008,"text":"Missouri State University, Department of Biology, 901 S. National Ave., Springfield, MO","active":true,"usgs":false}],"preferred":false,"id":772333,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bowles, Beth","contributorId":219480,"corporation":false,"usgs":false,"family":"Bowles","given":"Beth","email":"","affiliations":[{"id":40008,"text":"Missouri State University, Department of Biology, 901 S. National Ave., Springfield, MO","active":true,"usgs":false}],"preferred":false,"id":772334,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rhodes, Russell","contributorId":219481,"corporation":false,"usgs":false,"family":"Rhodes","given":"Russell","affiliations":[{"id":40008,"text":"Missouri State University, Department of Biology, 901 S. National Ave., Springfield, MO","active":true,"usgs":false}],"preferred":false,"id":772335,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205995,"text":"70205995 - 2019 - Reducing wet ammonium deposition in Rocky Mountain National Park: The development and evaluation of a pilot early warning system for agricultural operations in eastern Colorado","interactions":[],"lastModifiedDate":"2019-12-04T06:22:06","indexId":"70205995","displayToPublicDate":"2019-10-03T06:56:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Reducing wet ammonium deposition in Rocky Mountain National Park: The development and evaluation of a pilot early warning system for agricultural operations in eastern Colorado","docAbstract":"Agricultural emissions are the primary source of ammonia (NH3) deposition in Rocky Mountain National Park (RMNP), a Class I area, that is granted special air quality protections under the Clean Air Act. Between 2014 and 2016, the pilot phase of the Colorado agricultural nitrogen early warning system (CANEWS) was developed for agricultural producers to voluntarily and temporarily minimize emissions of NH3 during periods of upslope winds. The CANEWS was created using trajectory analyses driven by outputs from an ensemble of numerical weather forecasts together with the climatological expertise of human forecasters. Here, we discuss the methods for the CANEWS and offer preliminary analyses of 33 months of the CANEWS based on atmospheric deposition data from two sites in RMNP as well as responses from agricultural producers after warnings were issued. Results showed that the CANEWS accurately predicted 6 of 9 high N deposition weeks at a lower-elevation observation site, but only 4 of 11 high N deposition weeks at a higher-elevation site. Sixty agricultural producers from 39 of Colorado’s agricultural operations volunteered for the CANEWS, and a two-way line of communication between agricultural producers and scientists was formed. For each warning issued, an average of 23 producers responded to a post-warning survey. Over 75% of responding CANEWS participants altered their practices after an alert. While the current effort was insufficient to reduce atmospheric deposition, we were encouraged by the collaborative spirit between agricultural, scientific, and resource management communities. Solving a broad and complex social-ecological problem requires both a technological approach, such as the CANEWS, and collaboration and trust from all participants, including agricultural producers, land managers, university researchers, and environmental agencies.","language":"English","publisher":"Springer","doi":"10.1007/s00267-019-01209-z","usgsCitation":"Pena, A., Schumacher, R., Denning, S., Faulkner, W., Baron, J., Ham, J., Ojima, D.S., and Collett, J., 2019, Reducing wet ammonium deposition in Rocky Mountain National Park: The development and evaluation of a pilot early warning system for agricultural operations in eastern Colorado: Environmental Management, v. 64, no. 5, p. 626-639, https://doi.org/10.1007/s00267-019-01209-z.","productDescription":"14 p.","startPage":"626","endPage":"639","ipdsId":"IP-099062","costCenters":[{"id":291,"text":"Fort Collins Science 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Jay","contributorId":219811,"corporation":false,"usgs":false,"family":"Ham","given":"Jay","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":773235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ojima, Dennis S.","contributorId":208511,"corporation":false,"usgs":false,"family":"Ojima","given":"Dennis","email":"","middleInitial":"S.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":773236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collett, Jeffrey","contributorId":219812,"corporation":false,"usgs":false,"family":"Collett","given":"Jeffrey","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":773237,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70207487,"text":"70207487 - 2019 - Understanding reproductive allometry in turtles: A slippery “slope”","interactions":[],"lastModifiedDate":"2019-12-20T16:39:33","indexId":"70207487","displayToPublicDate":"2019-10-02T16:38:13","publicationYear":"2019","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":"Understanding reproductive allometry in turtles: A slippery “slope”","docAbstract":"Measures of reproductive output in turtles are generally positively correlated with female body size. However, a full understanding of reproductive allometry in turtles requires logarithmic transformation of reproductive and body size variables prior to regression analyses. This allows for slope comparisons with expected linear or cubic relationships for linear to linear and linear to volumetric variables, respectively. We compiled scaling data using this approach from published and unpublished turtle studies (46 populations of 25 species from eight families) to quantify patterns among taxa. Our results suggest that for log–log comparisons of clutch size, egg width, egg mass, clutch mass, and pelvic aperture width to shell length, all scale hypoallometrically despite theoretical predictions of isometry. Clutch size generally scaled at ~1.7 to 2.0 (compared to an isometric expectation of 3.0), egg width at ~0.5 (compared to an expectation of 1.0), egg mass at ~1.1 to 1.3 (3.0), clutch mass at ~2.5 to 2.8 (3.0), and pelvic aperture width at 0.8–0.9 (1.0). We also found preliminary evidence that scaling may differ across years and clutches even in the same population, as well as across populations of the same species. Future investigators should aspire to collect data on all these reproductive parameters and to report log–log allometric analyses to test our preliminary conclusions regarding reproductive allometry in turtles.
The maps and graphs in this summary describe national streamflow conditions for water year 2018 (October 1, 2017, to September 30, 2018) in the context of streamflow ranks relative to the 89-year period of water years 1930–2018. The illustrations are based on observed data from the U.S. Geological Survey National Streamflow Network. Annual runoff in the Nation’s rivers and streams during water year 2018 was higher than the long-term (water years 1930–2018) mean annual runoff of 9.33 inches. Nationwide, the 2018 streamflow ranked 33d highest out of the 89 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193063","usgsCitation":"Jian, X., Wolock, D.M., Brady, S.J., and Lins, H.F., 2019, Streamflow—Water year 2018: U.S. Geological Survey Fact Sheet 2019–3063, 6 p., https://doi.org/10.3133/fs20193063.\n","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-109903","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":367937,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System","description":"USGS Water Data for the Nation"},{"id":367936,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3063/fs20193063.pdf","text":"Report","size":"2.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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States\"}}]}","contact":"U.S. Geological Survey
415 National Center
Reston, VA 20192
Laboratory trials conducted over the past decade at U.S. Geological Survey National Wildlife Health Center indicate that wild populations of prairie dogs (Cynomys spp.) display different degrees of susceptibility to experimental challenge with fully virulent Yersinia pestis, the causative agent of plague. We evaluated patterns in prairie dog susceptibility to plague to determine whether the historical occurrence of plague at location of capture was related to survival times of prairie dogs challenged with Y. pestis. We found that black-tailed prairie dogs (Cynomys ludovicianus) from South Dakota (captured prior to the detection of plague in the state), Gunnison's prairie dogs (Cynomys gunnisoni) from Colorado, and Utah prairie dogs (Cynomys parvidens) from Utah were most susceptible to plague. Though the susceptibility of black-tailed prairie dogs in South Dakota compared with western locations supports our hypothesis regarding historical exposure, both Colorado and Utah prairie dogs have a long history of exposure to plague. It is possible that for these populations, genetic isolation/bottle necks have made them more susceptible to plague outbreaks.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5684","usgsCitation":"Russell, R., Tripp, D.W., and Rocke, T.E., 2019, Differential plague susceptibility in species and populations of prairie dogs: Ecology and Evolution, v. 9, no. 20, p. 11962-11971, https://doi.org/10.1002/ece3.5684.","productDescription":"10 p., Data release","startPage":"11962","endPage":"11971","ipdsId":"IP-106563","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":459620,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5684","text":"Publisher Index Page"},{"id":418322,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AZREUM","text":"USGS data release","description":"USGS data release","linkHelpText":"Survival of prairie dogs (Cynomys spp.) challenged with Yersina pestis (plague)"},{"id":368536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, South Dakota, 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\"}}]}","volume":"9","issue":"20","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":219536,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":773678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tripp, Daniel W.","contributorId":17910,"corporation":false,"usgs":false,"family":"Tripp","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":773679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":773680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204655,"text":"sir20195075 - 2019 - Potential interaction of groundwater and surface water including autonomous underwater vehicle reconnaissance at Nolin River Lake, Kentucky, 2016","interactions":[],"lastModifiedDate":"2019-10-02T17:00:48","indexId":"sir20195075","displayToPublicDate":"2019-10-02T13:12:29","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5075","displayTitle":"Potential Interaction of Groundwater and Surface Water Including Autonomous Underwater Vehicle Reconnaissance at Nolin River Lake, Kentucky, 2016","title":"Potential interaction of groundwater and surface water including autonomous underwater vehicle reconnaissance at Nolin River Lake, Kentucky, 2016","docAbstract":"The U.S. Geological Survey collaborated with the U.S. Army Corps of Engineers, Louisville District, on a synoptic study of water quality at Nolin River Lake during August 2016. The purpose of the study was to develop a better understanding of the potential for interaction between groundwater and surface water at Nolin River Lake, Kentucky. Groundwater can have properties that are measurably different from those in adjacent surface water, and inflows and outflows can be an important component of water quality and quantity. An improved understanding of potential interaction of groundwater and surface water at Nolin River Lake may be used to refine lake-management strategies. This study (1) compiled and interpreted existing information to characterize the hydrogeological setting and implications for potential interaction of groundwater and surface water in the Nolin River Lake watershed; (2) collected transects of onsite water-quality parameters using an autonomous underwater vehicle (AUV) in areas with potential for interaction of groundwater and surface water, including five sites on Nolin River Lake and one site on the Nolin River; and (3) collected discrete water-quality and phytoplankton community data at the same six sites.
A review of existing hydrogeologic information did not indicate the presence of karst features adjacent to or beneath Nolin River Lake that would facilitate groundwater interaction with the reservoir. Observations leading to this conclusion include (1) limestone that is adjacent to the shoreline and perhaps beneath the lake, is overlain with siliciclastic rocks and fine-grained sediment that inhibits infiltration and development of karst features that encourage rapid groundwater flow; (2) the geologic deposits surrounding the reservoir are described as having limited or no potential for development of karst features, some exceptions may exist in tributary valleys; (3) very few karst features were mapped within 1 mile of the reservoir or in the area currently occupied by the reservoir; and (4) faults that intersect the reservoir but may not possess hydraulic properties that cause the faults to be conduits for groundwater flow. Groundwater interaction with reservoir tributaries is likely more common in areas of the watershed upstream from Nolin River Lake where karst hydrogeology is prevalent.
Results of water-quality surveys using an AUV from August 15 to 19, 2016, did not identify areas of anomalous values that might indicate groundwater inflows through preferential flow zones. Spatial distributions of water-quality parameters were generally uniform within each constant-depth layer. The constant-depth layers were selected to be above, within, and below the thermocline and ranged from the water surface to 25 feet. Surveys near the bottom of the reservoir that might have been more sensitive to groundwater inflows were not done because presurvey data were not available to indicate locations of obstacles that could ensnare the AUV. Water-quality data collected with the AUV did identify water-quality anomalies where stream tributaries were discharging to the reservoir.
The discrete water-quality samples indicated uniformity among the five reservoir sites. The riverine site that is immediately upstream from Nolin River Lake, however, had some unique water-quality characteristics relative to sites on the reservoir. The highest concentrations of nitrate plus nitrite as nitrogen (0.145 milligrams per liter [mg/L]), total phosphorous (0.07 mg/L), chlorophyll a (36.1 micrograms per liter), and pheophytin a (10.2 micrograms per liter) were measured at the Nolin River Lake riverine site (site 2NRR20034). The concentrations of nutrients and chlorophyll a at the riverine site did exceed the 25th percentile of median concentrations measured by the U.S. Environmental Protection Agency (EPA) at other lakes and reservoirs in EPA level IV ecoregion 71a. Concentrations of most nutrients and chlorophyll a at the five reservoir sites also exceeded the 25th percentile of median concentrations in EPA level IV ecoregion 72h. The exception was the concentrations of total phosphorus as phosphorus at the reservoir sites that were at or below the 25th percentile of median concentrations measured by EPA (0.03 mg/L). Concentrations of orthophosphate as phosphorus were less than the method detection limit of 0.004 mg/L at all sites. The phytoplankton community in Nolin River Lake was almost exclusively (greater than 90 percent of total phytoplankton abundance) cyanobacteria, also known as blue-green algae. A species of Cylindrospermopsis dominated the cyanobacterial community at the five reservoir sites, while Chroococcus microscopicus was most abundant at the riverine site. Cyanobacterial cell densities ranged from 10,000 to 198,067,460 cells per liter in five areas in the reservoir and from 4,800 to 73,751,253 cells per liter at the riverine site.
Multiple potential sources of water to Nolin River Lake include direct precipitation, overland flow, interflow, groundwater, and surface water. Understanding the exact contribution of each of these components to the water budget at Nolin River Lake may help the U.S. Army Corps of Engineers manage the water quality, water quantity, and biological communities in the reservoir. Additional hydrogeologic and water-quality data that builds on the results of this study may refine the inferences of this study; for example, deeper AUV surveys that target the largest fault zones might further the understanding of the potential for groundwater flow through those features. A complete understanding of the reservoir hydrology, however, may require the use of scientific methods intended for water bodies as large as Nolin River Lake, such as aerial infrared photography and imagery; water mass, chemical, and isotopic balance studies; geophysical measurements; and numerical simulations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195075","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Louisville District","usgsCitation":"Crain, A.S., Boldt, J.A., Bayless, E.R., Bunch, A.R., Young, J.L., Thomason, J.C., and Wolf, Z.L., 2019, Potential interaction of groundwater and surface water including autonomous underwater vehicle reconnaissance at Nolin River Lake, Kentucky, 2016: U.S. Geological Survey Scientific Investigations Report 2019–5075, 36 p., https://doi.org/10.3133/sir20195075.\n","productDescription":"Report: vi, 36 p.; Data Release","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-085091","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":367882,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5075/sir20195075.pdf","text":"Report","size":"16.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5075"},{"id":367881,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5075/coverthb.jpg"},{"id":367883,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F798857D","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-Quality Datasets from Synoptic Surveys in Nolin River Lake, Kentucky, using an Autonomous Underwater Vehicle, Discrete Sampling, and Depth Profiles, August 2016"}],"country":"United States","state":"Kentucky","otherGeospatial":"Nolin River Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.28387451171875,\n 37.25929865437848\n ],\n [\n -86.0504150390625,\n 37.25929865437848\n ],\n [\n -86.0504150390625,\n 37.40780092202727\n ],\n [\n -86.28387451171875,\n 37.40780092202727\n ],\n [\n -86.28387451171875,\n 37.25929865437848\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
9818 Bluegrass Parkway
Louisville, KY 40299–1906
In viviparous organisms, the ability to feed while pregnant may mitigate energetic trade-offs experienced during the reproductive process and enhance fecundity. However, anorexia during pregnancy has been reported in many crotaline snakes. The potential costs and benefits of feeding while pregnant are not completely described in the literature, and experimental studies have been conducted in a limited number of taxa, rendering our understanding of the forces that may underlie the evolution of anorexia in pregnant snakes incomplete. Here, we examine the impact of food supplementation during mid to late pregnancy on mothers and offspring in a viviparous crotaline snake species, the Pygmy Rattlesnake (Sistrurus miliarius). Specifically, we offered multiple large meals to mothers held in outdoor enclosures and measured a suite of maternal and offspring traits including maternal body condition, offspring length and mass, maternal disease state, and offspring foraging behaviors. We focused on interactions between feeding, clinical signs of snake fungal disease (SFD), and the presence of its causative agent, Ophidiomyces ophiodiicola, in mothers. Pregnant females fed readily when offered food, but feeding did not impact offspring traits. Food supplementation significantly increased maternal postparturient body condition, but also increased clinical signs of disease in mothers and led to a significantly higher reproductive failure rate in the treatment group, particularly in mothers afflicted with SFD. Our results suggest that food supplementation during pregnancy may disrupt the reproductive process in pregnant rattlesnakes, and that such disruption is particularly pronounced in mothers suffering from SFD.
","language":"English","publisher":"BioOne","doi":"10.1670/18-147","usgsCitation":"Lind, C.M., Clark, A., Smiley-Walters, S.A., Taylor, D., Isidoro Ayza, M., Lorch, J.M., and Farrell, T.M., 2019, Interactive effects of food supplementation and snake fungal disease on pregnant Pygmy Rattlesnakes and their offspring: Journal of Herpetology, v. 53, no. 4, p. 282-288, https://doi.org/10.1670/18-147.","productDescription":"7 p.","startPage":"282","endPage":"288","ipdsId":"IP-101778","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":379984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lind, Craig M.","contributorId":201569,"corporation":false,"usgs":false,"family":"Lind","given":"Craig","email":"","middleInitial":"M.","affiliations":[{"id":27623,"text":"Stetson University","active":true,"usgs":false}],"preferred":false,"id":803585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Amber","contributorId":244248,"corporation":false,"usgs":false,"family":"Clark","given":"Amber","email":"","affiliations":[{"id":27623,"text":"Stetson University","active":true,"usgs":false}],"preferred":false,"id":803586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smiley-Walters, Sarah A","contributorId":244249,"corporation":false,"usgs":false,"family":"Smiley-Walters","given":"Sarah","email":"","middleInitial":"A","affiliations":[{"id":27623,"text":"Stetson University","active":true,"usgs":false}],"preferred":false,"id":803587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Daniel 0000-0001-5391-0321","orcid":"https://orcid.org/0000-0001-5391-0321","contributorId":216693,"corporation":false,"usgs":true,"family":"Taylor","given":"Daniel","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":803588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":803589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":803590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farrell, Terence M.","contributorId":176253,"corporation":false,"usgs":false,"family":"Farrell","given":"Terence","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":803591,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205773,"text":"70205773 - 2019 - Prediction and inference of flow-duration curves using multi-output neural networks","interactions":[],"lastModifiedDate":"2019-10-02T12:09:28","indexId":"70205773","displayToPublicDate":"2019-10-02T12:06:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Prediction and inference of flow-duration curves using multi-output neural networks","docAbstract":"We develop multi-output neural network models (MNNs) to predict flow-duration curves (FDCs) in 9,203 ungaged locations in the Southeastern United States for six decades between 1950-2009. The model architecture contains multiple response variables in the output layer that correspond to individual quantiles along the FDC. During training, predictions are made for each quantile, and a combined loss function is used for back propagation and parameter updating. The loss function accounts for the covariance between the quantiles and generates physically consistent outputs (i.e., monotonically increasing quantiles with increasing nonexceedance probabilities). We use neural-network dropout to generate posterior-predictive distributions for FDCs, and test model performance under cross validation. Finally, we demonstrate how local surrgotate models, via the Local Interpretable Model-agnostic Explanations (LIME) method, can be used to infer the relation between basin characteristics and the predicted FDCs. Results suggest that MNNs can learn the monotonic relations between adjacent quantiles on an FDC, they result in better predictions than single output neural-network models that predict each quantile independently, and basin characteristics are most useful for predicting smaller quantiles, whereas bias terms from neighboring quantiles are most informative for predicting higher quantiles.","language":"English","publisher":"Wiley","doi":"10.1029/2018WR024463","usgsCitation":"Worland, S.C., Steinschneider, S., Asquith, W.H., Knight, R., and Wieczorek, M., 2019, Prediction and inference of flow-duration curves using multi-output neural networks: Water Resources Research, v. 55, no. 8, p. 6850-6868, https://doi.org/10.1029/2018WR024463.","productDescription":"19 p.","startPage":"6850","endPage":"6868","onlineOnly":"N","ipdsId":"IP-091599","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":459623,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr024463","text":"Publisher Index Page"},{"id":437314,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YGKZZV","text":"USGS data release","linkHelpText":"Estimated quantiles for the pour points of 9,203 level-12 Hydrologic Unit Code in the Southeastern United States--1950--2010"},{"id":367923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Worland, Scott C. 0000-0001-6384-2457 scworland@usgs.gov","orcid":"https://orcid.org/0000-0001-6384-2457","contributorId":5802,"corporation":false,"usgs":true,"family":"Worland","given":"Scott","email":"scworland@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":772283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wieczorek, Michael E. 0000-0003-0999-5457 mewieczo@usgs.gov","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":178736,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael E.","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772286,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205770,"text":"70205770 - 2019 - Applying the ecology of aquatic–terrestrial linkages to freshwater and riparian management","interactions":[],"lastModifiedDate":"2020-01-03T10:05:01","indexId":"70205770","displayToPublicDate":"2019-10-02T11:51:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Applying the ecology of aquatic–terrestrial linkages to freshwater and riparian management","docAbstract":"Global stressors such as climate change, invasive species, urbanization, agricultural practices, and pollution can alter aquatic resource subsidies to terrestrial consumers. The effects of these stressors on timing, quality, and quantity of aquatic subsidies, such as adult aquatic insects, to birds, herpetofauna, and mammals, have large implications for wildlife management (Baxter et al. 2004, Saunders and Fausch 2007, Walters et al. 2008, Sullivan and Rodewald 2012, Morrissey et al. 2015, Kraus et al. 2016, Larsen et al. 2016, Sullivan et al. 2019). For example, insect-mediated contaminant transport from polluted rivers expose song bird nestlings and other protected birds to potentially toxic levels of persistent organic contaminants and pharmaceuticals (Walters et al. 2010, Richmond et al. 2018). Recent declines in aquatic insect production caused by pollution and changes in land use have been tied to global declines in terrestrial insectivores such as birds and bats (Hallmann et al. 2014, Morrissey et al. 2015, Raby et al. 2018). These natural-resource impacts from aquatic–terrestrial exposure and loss of resource subsidies are leading to changes in monitoring protocols and how management agencies evaluate the effectiveness of corrective remedies (Muehlbauer et al. 2019). For researchers interested in the application of resource subsidy research, a logical next step is to help practitioners anticipate effects of global stressors on aquatic-terrestrial linkages and incorporate these principles into decision making.
","language":"English","publisher":"University of Chicago Press Journals","doi":"10.1086/705994","usgsCitation":"Kraus, J.M., 2019, Applying the ecology of aquatic–terrestrial linkages to freshwater and riparian management: Freshwater Science, v. 38, no. 4, p. 917-918, https://doi.org/10.1086/705994.","productDescription":"2 p.","startPage":"917","endPage":"918","ipdsId":"IP-112487","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":367926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":772270,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70205674,"text":"70205674 - 2019 - A multidisciplinary coastal vulnerability assessment for local government focused on ecosystems, Santa Barbara area, California","interactions":[],"lastModifiedDate":"2019-11-13T13:43:35","indexId":"70205674","displayToPublicDate":"2019-10-02T11:26:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"A multidisciplinary coastal vulnerability assessment for local government focused on ecosystems, Santa Barbara area, California","docAbstract":"Incorporating coastal ecosystems in climate adaptation planning is needed to maintain the well-being of both natural and human systems. Our vulnerability study uses a multidisciplinary approach to evaluate climate change vulnerability of an urbanized coastal community that could serve as a model approach for communities worldwide, particularly in similar Mediterranean climates. We synthesize projected changes in climate, coastal erosion and flooding, watershed runoff and impacts to two important coastal ecosystems, sandy beaches and coastal salt marshes. Using downscaled climate models along with other regional models, we find that temperature, extreme heat events, and sea level are expected to increase in the future, along with more intense rainfall events, despite a negligible change in annual rainfall. Consequently, more droughts are expected but the magnitude of larger flood events will increase. Associated with the continuing rise of mean sea level, extreme coastal water levels will occur with increasingly greater magnitudes and frequency. Severe flooding will occur for both natural (wetlands, beaches) and built environments (airport, harbor, freeway, and residential areas). Adaptation actions can reduce the impact of rising sea level, which will cause losses of sandy beach zones and salt marsh habitats that support the highest biodiversity in these ecosystems, including regionally rare and endangered species, with substantial impacts occurring by 2050. Providing for inland transgression of coastal habitats, effective sediment management, reduced beach grooming and removal of shoreline armoring are adaptations that would help maintain coastal ecosystems and the beneficial services they provide.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2019.104921","usgsCitation":"Myers, M., Barnard, P., Beighley, E., Cayan, D., Dugan, J.E., Feng, D., Iacobellis, S.F., Melack, J.M., and Page, H.M., 2019, A multidisciplinary coastal vulnerability assessment for local government focused on ecosystems, Santa Barbara area, California: Ocean and Coastal Management, v. 182, 104921, https://doi.org/10.1016/j.ocecoaman.2019.104921.","productDescription":"104921","ipdsId":"IP-107676","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2019.104921","text":"Publisher Index Page"},{"id":367925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Barbara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.48249816894531,\n 34.41370754457088\n ],\n [\n -119.47906494140624,\n 34.4142740103038\n ],\n [\n -119.86564636230467,\n 34.44485746154028\n ],\n [\n -119.8773193359375,\n 34.36384353883067\n ],\n [\n -119.47631835937499,\n 34.36100946506246\n ],\n [\n -119.48249816894531,\n 34.41370754457088\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"182","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Monique","contributorId":219345,"corporation":false,"usgs":false,"family":"Myers","given":"Monique","email":"","affiliations":[{"id":39996,"text":"California Sea Grant","active":true,"usgs":false}],"preferred":false,"id":772060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":772059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beighley, Edward","contributorId":219346,"corporation":false,"usgs":false,"family":"Beighley","given":"Edward","email":"","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":772061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, Daniel R.","contributorId":219347,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel R.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":772062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugan, Jenifer E.","contributorId":219348,"corporation":false,"usgs":false,"family":"Dugan","given":"Jenifer","email":"","middleInitial":"E.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":772063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feng, Dongmei","contributorId":219349,"corporation":false,"usgs":false,"family":"Feng","given":"Dongmei","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":772064,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iacobellis, Samuel F.","contributorId":219350,"corporation":false,"usgs":false,"family":"Iacobellis","given":"Samuel","email":"","middleInitial":"F.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":772065,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Melack, John M.","contributorId":219351,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":772066,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Page, Henry M.","contributorId":219352,"corporation":false,"usgs":false,"family":"Page","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":772067,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205702,"text":"70205702 - 2019 - A spatio-contextual probabilistic model for extracting linear features in hilly terrain from high-resolution DEM data","interactions":[],"lastModifiedDate":"2019-10-02T11:26:38","indexId":"70205702","displayToPublicDate":"2019-10-02T11:26:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2046,"text":"International Journal of Geographical Information Science","active":true,"publicationSubtype":{"id":10}},"title":"A spatio-contextual probabilistic model for extracting linear features in hilly terrain from high-resolution DEM data","docAbstract":"This paper introduces our research in developing a probabilistic model to extract linear terrain features from high resolution DEM (Digital Elevation Model) data. The proposed model takes full advantage of spatio-contextual information to characterize terrain changes. It first derives a quantifiable measure of spatio-contextual patterns of linear terrain feature, such as ridgelines, valley lines and crater boundaries, and then adopts multiple neighborhood analysis and a probability model to address data uncertainty in terrain surface modeling. Different from traditional approaches, the proposed model has the ability to achieve near-automated processing, and to support effective extraction of terrain features in both smooth and rough surfaces. Through a series of experiments, we demonstrate that the proposed approach outperforms existing techniques, including: thresholding, stream/drainage network analysis, visual descriptor, object-based image analysis and edge detection. We hope this work contributes to both the geospatial data science and geomorphology communities with a new way of utilizing high-resolution imagery in terrain analysis.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/13658816.2018.1554814","usgsCitation":"Zhou, X., Li, W., and Arundel, S., 2019, A spatio-contextual probabilistic model for extracting linear features in hilly terrain from high-resolution DEM data: International Journal of Geographical Information Science, v. 33, no. 4, p. 666-686, https://doi.org/10.1080/13658816.2018.1554814.","productDescription":"21 p.","startPage":"666","endPage":"686","ipdsId":"IP-085062","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":367920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Xiran","contributorId":219357,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiran","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":772121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":772120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":772119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205665,"text":"70205665 - 2019 - Modeling sediment bypassing around idealized rocky headlands","interactions":[],"lastModifiedDate":"2019-10-02T11:19:58","indexId":"70205665","displayToPublicDate":"2019-10-02T11:19:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling sediment bypassing around idealized rocky headlands","docAbstract":"Alongshore sediment bypassing rocky headlands remains understudied despite the importance of characterizing littoral processes for erosion abatement, beach management, and climate change adaptation. To address this gap, a numerical model sediment transport study was developed to identify controlling factors and mechanisms for sediment headland bypassing potential. Four idealized headlands were designed to investigate sediment flux around the headlands using the process-based hydrodynamic model Delft-3D and spectral wave model SWAN. The 120 simulations explored morphologies, substrate compositions, sediment grain sizes, and physical forcings (i.e., tides, currents, and waves) commonly observed in natural settings. A generalized analytical framework based on flow disruption and sediment volume was used to refine which factors and conditions were more useful to address sediment bypassing. A bypassing parameter was developed for alongshore sediment flux between upstream and downstream cross-shore transects to determine the degree of blockage by a headland. The shape of the headland heavily influenced the fate of the sediment by changing the local angle between the shore and the incident waves, with oblique large waves generating the most flux. All headlands may allow sediment flux, although larger ones blocked sediment more effectively, promoting their ability to be littoral cell boundaries. The controlling factors on sediment bypassing were determined to be wave angle, size, and shape of the headland, and sediment grain size.
","language":"English","publisher":"MDPI","doi":"10.3390/jmse7020040","usgsCitation":"Douglas A. George, John L. Largier, Pasternack, G.B., Barnard, P., Storlazzi, C.D., and Erikson, L.H., 2019, Modeling sediment bypassing around idealized rocky headlands: Journal of Marine Science and Engineering, v. 7, no. 2, 40; 37 p., https://doi.org/10.3390/jmse7020040.","productDescription":"40; 37 p.","ipdsId":"IP-111887","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse7020040","text":"Publisher Index Page"},{"id":367918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas A. George","contributorId":219341,"corporation":false,"usgs":false,"family":"Douglas A. George","affiliations":[{"id":39994,"text":"Bodega Marine Laboratory, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":772020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John L. Largier","contributorId":219342,"corporation":false,"usgs":false,"family":"John L. Largier","affiliations":[{"id":39994,"text":"Bodega Marine Laboratory, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":772021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pasternack, Greg B.","contributorId":219343,"corporation":false,"usgs":false,"family":"Pasternack","given":"Greg","email":"","middleInitial":"B.","affiliations":[{"id":39995,"text":"Department of Hydrologic Sciences, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":772022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":772019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":772023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":772024,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205666,"text":"70205666 - 2019 - Regionalization of groundwater residence time using metamodeling","interactions":[],"lastModifiedDate":"2019-10-02T11:09:04","indexId":"70205666","displayToPublicDate":"2019-10-02T11:00:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Regionalization of groundwater residence time using metamodeling","docAbstract":"Groundwater residence-time distributions (RTDs) are critical for assessing susceptibility of water resources to degradation. A novel combination of numerical modeling and statistical methods allows estimation of regional RTDs with unprecedented speed. In this method, particle RTDs are generated in 30 type locales in the northeastern glaciated U.S using automated generalized finite-difference groundwater flow and advective transport models. Targets for statistical learning were created from particle RTDs by fitting Weibull, gamma, and inverse Gaussian distributions. Whole-basin flux-weighted RTDs were well fit by one-component Weibull distributions. Flux-weighted RTDs at stressed receptors such as wells often produced more complicated RTDs that required a two-component mixture to fit. A Multitask Lasso regression was trained on the parametric RTDs using hydrogeographic features of the modeled areas as explanatory features. In this way, RTDs are regionalized using mappable physical features such as recharge and aquifer volume. The shape, location, and scale parameters of the parametric RTDs are strongly related to the mean exponential age. The shape parameter of the distribution, which controls deviation from exponential, is additionally a function of aquifer heterogeneity and hydrologic features. Regionalized RTDs provide useful metrics with respect to groundwater lag times and solute loading to streams. The lag time between input and output contained in the RTD is critical to understanding the relation between the land surface and human and ecological receptors.","language":"English","publisher":"Wiley","doi":"10.1029/2017WR021531","usgsCitation":"Starn, J., and Belitz, K., 2019, Regionalization of groundwater residence time using metamodeling: Water Resources Research, v. 54, no. 9, p. 6357-6373, https://doi.org/10.1029/2017WR021531.","productDescription":"17 p.","startPage":"6357","endPage":"6373","ipdsId":"IP-086784","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017wr021531","text":"Publisher Index Page"},{"id":367916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":772025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":772026,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215329,"text":"70215329 - 2019 - Genomic pedigree reconstruction identifies predictors of mating and reproductive success in an invasive vertebrate","interactions":[],"lastModifiedDate":"2020-10-16T14:03:28.428405","indexId":"70215329","displayToPublicDate":"2019-10-02T08:59:08","publicationYear":"2019","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":"Genomic pedigree reconstruction identifies predictors of mating and reproductive success in an invasive vertebrate","docAbstract":"The persistence of an invasive species is influenced by its reproductive ecology, and a successful control program must operate on this premise. However, the reproductive ecology of invasive species may be enigmatic due to factors that also limit their management, such as cryptic coloration and behavior. We explored the mating and reproductive ecology of the invasive Brown Treesnake (BTS: Boiga irregularis) by reconstructing a multigenerational genomic pedigree based on 654 single nucleotide polymorphisms for a geographically closed population established in 2004 on Guam (N = 426). The pedigree allowed annual estimates of individual mating and reproductive success to be inferred for snakes in the study population over a 14‐year period. We then employed generalized linear mixed models to gauge how well phenotypic and genomic data could predict sex‐specific annual mating and reproductive success. Average snout–vent length (SVL), average body condition index (BCI), and trappability were significantly related to annual mating success for males, with average SVL also related to annual mating success for females. Male and female annual reproductive success was positively affected by SVL, BCI, and trappability. Surprisingly, the degree to which individuals were inbred had no effect on annual mating or reproductive success. When juxtaposed with current control methods, these results indicate that baited traps, a common interdiction tool, may target fecund BTS in some regards but not others. Our study emphasizes the importance of reproductive ecology as a focus for improving BTS control and promotes genomic pedigree reconstruction for such an endeavor in this invasive species and others.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5694","usgsCitation":"Levine, B., Douglas, M.R., Yackel Adams, A.A., Lardner, B., Reed, R., Savidge, J.A., and Douglas, M.E., 2019, Genomic pedigree reconstruction identifies predictors of mating and reproductive success in an invasive vertebrate: Ecology and Evolution, v. 9, no. 20, p. 11863-11877, https://doi.org/10.1002/ece3.5694.","productDescription":"15 p.","startPage":"11863","endPage":"11877","ipdsId":"IP-110981","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":459638,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5694","text":"Publisher Index Page"},{"id":437315,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X1AKVJ","text":"USGS data release","linkHelpText":"Brown Treesnake mating and reproductive success on Guam, 2004-2018"},{"id":379463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.86709594726562,\n 13.548212606976776\n ],\n [\n 144.9594497680664,\n 13.548212606976776\n ],\n [\n 144.9594497680664,\n 13.630138790321915\n ],\n [\n 144.86709594726562,\n 13.630138790321915\n ],\n [\n 144.86709594726562,\n 13.548212606976776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"20","noUsgsAuthors":false,"publicationDate":"2019-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Brenna A","contributorId":243207,"corporation":false,"usgs":false,"family":"Levine","given":"Brenna A","affiliations":[{"id":38022,"text":"University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":801737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, Marlis R","contributorId":243208,"corporation":false,"usgs":false,"family":"Douglas","given":"Marlis","email":"","middleInitial":"R","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":801739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":801738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lardner, Bjorn","contributorId":225066,"corporation":false,"usgs":false,"family":"Lardner","given":"Bjorn","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":801740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":801741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Savidge, Julie A.","contributorId":175196,"corporation":false,"usgs":false,"family":"Savidge","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":801742,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas, Michael E","contributorId":243209,"corporation":false,"usgs":false,"family":"Douglas","given":"Michael","email":"","middleInitial":"E","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":801743,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70207372,"text":"70207372 - 2019 - Controls on petroleum resources for the Devonian Marcellus Shale in the Appalachian Basin Province, Kentucky, West Virginia, Ohio, Pennsylvania, and New York","interactions":[],"lastModifiedDate":"2020-04-06T21:14:46.103084","indexId":"70207372","displayToPublicDate":"2019-10-01T19:38:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Controls on petroleum resources for the Devonian Marcellus Shale in the Appalachian Basin Province, Kentucky, West Virginia, Ohio, Pennsylvania, and New York","docAbstract":"Greater than 33 trillion cubic feet of gas, 68 million barrels of natural gas liquids (NGL), and 192 million barrels of water have been produced from the Middle Devonian Marcellus Shale of the Hamilton Group in the Appalachian Basin. These volumes are from more than 11,700 non-commingled wells. Areas of greatest production and future potential for gas and NGL from the Marcellus Shale are within and near the northeast-trending Rome trough in northern West Virginia and Pennsylvania. Southernmost New York, eastern Ohio, western Virginia, and Maryland also contain petroleum potential and (or) reserves. A confluence of factors enhances gas and NGL reserves and resources in the Marcellus Shale. These include (1) brittleness based on lithofacies composition; (2) thickness and distribution of brittle and organic-rich shale; (3) measured thermal maturity of 1% vitrinite reflectance and greater; (4) at least 2 weight percent total organic carbon; (5) dense and complex fracturing and faulting; (6) presence of evaporite beds in the underlying Silurian Salina Group; (7) potential overpressure; (8) current depths of 1,370 m (4,500 ft) and greater; and (9) predominately horizontal wells with laterals that are oriented to the northwest or southeast, or roughly perpendicular to the direction of maximum horizontal stress, and that cross major fault and fracture sets.","language":"English","publisher":"The Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.56.4.323","usgsCitation":"Higley, D., Enomoto, C., and Leathers-Miller, H.M., 2019, Controls on petroleum resources for the Devonian Marcellus Shale in the Appalachian Basin Province, Kentucky, West Virginia, Ohio, 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\"}}]}","volume":"56","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Higley, D.K. 0000-0001-8024-9954","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":90261,"corporation":false,"usgs":true,"family":"Higley","given":"D.K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":777852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":211802,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":777853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":777854,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206591,"text":"70206591 - 2019 - Effects of ocean climate on the length and condition of forage fish in the Gulf of Alaska","interactions":[],"lastModifiedDate":"2019-11-11T19:13:40","indexId":"70206591","displayToPublicDate":"2019-10-01T19:10:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1660,"text":"Fisheries Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Effects of ocean climate on the length and condition of forage fish in the Gulf of Alaska","docAbstract":"Climatic drivers of the size and body condition of forage fish in the North Pacific are poorly known. We hypothesized that length and condition of forage fish in the Gulf of Alaska (GoA) should vary in relation to ocean temperature on multiple scales. To test this hypothesis, we analyzed morphometric data for capelin (Mallotus catervarius) and Pacific sand lance (PSL; Ammodytes personatus) sampled by a seabird (Cerorhinca monocerata) in two regions of the GoA, 1993–2016. Based on previous studies, we predicted specifically that capelin length and body condition (Fulton’s K) would be negatively related to the Pacific Decadal Oscillation (PDO) and sea surface temperature (SST), whereas PSL length and condition would be positively related. Interannual variation in length and body condition was evaluated relative to seasonal values of ocean climate using regression. Forage fish length and condition varied interannually, between sampling regions, and were dependent on the size/age class of the fish sampled. As predicted, length and body condition of capelin (mostly age 1+) were negatively related to the PDO and SST. Relationships with ocean climate for PSL varied by size/age class: positive for putative age-0 fish and negative for putative age-1+ fish. We conclude that our hypothesis was supported for capelin and partially supported for PSL. This study demonstrates that ocean climate determines key morphometric characteristics of forage fish that may relate to interannual variation in the energetic value of prey, and provides an example of how seabirds can be used to obtain specimens for evaluations of potential prey quality.","language":"English","publisher":"Wiley","doi":"10.1111/fog.12443","usgsCitation":"Thompson, S.A., Garcia-Reyes, M., Sydeman, W., Arimitsu, M.L., Hatch, S., and Piatt, J.F., 2019, Effects of ocean climate on the length and condition of forage fish in the Gulf of Alaska: Fisheries Oceanography, v. 28, no. 6, p. 658-671, https://doi.org/10.1111/fog.12443.","productDescription":"14 p.","startPage":"658","endPage":"671","ipdsId":"IP-104579","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":467318,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/57003","text":"External Repository"},{"id":369116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.576171875,\n 55.99838095535963\n ],\n [\n -127.4853515625,\n 51.590722643120145\n ],\n [\n -129.5947265625,\n 55.55349545845371\n ],\n [\n -137.3291015625,\n 59.84481485969105\n ],\n [\n -144.7998046875,\n 62.451405884537564\n ],\n [\n -152.75390624999997,\n 61.41775026352097\n ],\n [\n -160.576171875,\n 55.99838095535963\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Sarah Ann","contributorId":220498,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[{"id":40179,"text":"Farallon Institute for Advanced Ecosystem Research","active":true,"usgs":false}],"preferred":false,"id":775060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Reyes, Marisol","contributorId":220499,"corporation":false,"usgs":false,"family":"Garcia-Reyes","given":"Marisol","email":"","affiliations":[{"id":40179,"text":"Farallon Institute for Advanced Ecosystem Research","active":true,"usgs":false}],"preferred":false,"id":775061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sydeman, William","contributorId":220500,"corporation":false,"usgs":false,"family":"Sydeman","given":"William","email":"","affiliations":[{"id":40179,"text":"Farallon Institute for Advanced Ecosystem Research","active":true,"usgs":false}],"preferred":false,"id":775062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":775059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatch, Scott","contributorId":220501,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott","email":"","affiliations":[{"id":35874,"text":"Institute for Seabird Research and Conservation","active":true,"usgs":false}],"preferred":false,"id":775063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":775064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205764,"text":"70205764 - 2019 - In vitro immune function in laboratory-reared age-0 smallmouth bass (Micropterus dolomieu) relative to diet","interactions":[],"lastModifiedDate":"2020-01-03T10:15:03","indexId":"70205764","displayToPublicDate":"2019-10-01T16:55:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1644,"text":"Fish & Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"In vitro immune function in laboratory-reared age-0 smallmouth bass (Micropterus dolomieu) relative to diet","title":"In vitro immune function in laboratory-reared age-0 smallmouth bass (Micropterus dolomieu) relative to diet","docAbstract":"Smallmouth bass (Micropterus dolomieu) are used as an indicator species in environmental monitoring and assessment studies. However, laboratory-based studies for methods development and effector assessment are limited for this species. Nutrition, a known modulator of teleost physiological responses including immune function, is a critical knowledge-gap sometimes overlooked in the design of laboratory studies. We report the results from a study evaluating a commercially available artificial pelleted diet for bass and live feed (fathead minnows). Following a six-month diet-acclimation period, age-0 smallmouth bass were assessed using morphometric measures, histologic and immune-function end points using conventional methods, miniaturized cell isolation and assay methods as well as imaging flow cytometry. Fish on the two diets did not significantly differ in length, weight, or condition factor, indicating that growth was similar in the two groups. Histologic examination revealed relatively higher levels of macrophage aggregates and accumulation of ceroid/lipofuscin in the spleen as well as hepatocyte changes in the pellet-fed group. Leukocytes from the pellet-fed group exhibited significantly elevated bactericidal activity and significantly depressed mitogen response compared to fish fed live feed. Following exposure to a known inducer of inflammatory responses, bacterial lipopolysaccharide, responses including the transition of leukocytes to an apoptotic/necrotic condition differed significantly based on diet. Histologic findings were consistent with the occurrence of diet-related oxidative stress in the pellet-fed fish. Oxidative stress can be induced by multiple factors including environmental pollutants. For a diet to be useful in laboratory-based studies, it cannot elicit response that could also be induced by experimental treatments. To do so greatly complicates the detection of experimental effects. Until an artificial diet is developed for smallmouth bass that does not produce potentially confounding conditions for laboratory-based studies, use of a live feed appears to be the best option.
","language":"English","publisher":"Elseiver","doi":"10.1016/j.fsi.2019.10.005","usgsCitation":"Ottinger, C., Smith, C.R., and Blazer, V., 2019, In vitro immune function in laboratory-reared age-0 smallmouth bass (Micropterus dolomieu) relative to diet: Fish & Shellfish Immunology, v. 95, p. 1-10, https://doi.org/10.1016/j.fsi.2019.10.005.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-109860","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":459644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fsi.2019.10.005","text":"Publisher Index Page"},{"id":368726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ottinger, Christopher 0000-0003-2551-1985","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":205874,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":772251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":772252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":772253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227809,"text":"70227809 - 2019 - Landscape genetics reveals unique and shared effects of urbanization for two sympatric pool-breeding amphibians","interactions":[],"lastModifiedDate":"2022-02-01T20:31:57.099474","indexId":"70227809","displayToPublicDate":"2019-10-01T15:31:35","publicationYear":"2019","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":"Landscape genetics reveals unique and shared effects of urbanization for two sympatric pool-breeding amphibians","docAbstract":"Metapopulation-structured species can be negatively affected when landscape fragmentation impairs connectivity. We investigated the effects of urbanization on genetic diversity and gene flow for two sympatric amphibian species, spotted salamanders (Ambystoma maculatum) and wood frogs (Lithobates sylvaticus), across a large (>35,000 km2) landscape in Maine, USA, containing numerous natural and anthropogenic gradients. Isolation-by-distance (IBD) patterns differed between the species. Spotted salamanders showed a linear and relatively high variance relationship between genetic and geographic distances (r = .057, p < .001), whereas wood frogs exhibited a strongly nonlinear and lower variance relationship (r = 0.429, p < .001). Scale dependence analysis of IBD found gene flow has its most predictable influence (strongest IBD correlations) at distances up to 9 km for spotted salamanders and up to 6 km for wood frogs. Estimated effective migration surfaces revealed contrasting patterns of high and low genetic diversity and gene flow between the two species. Population isolation, quantified as the mean IBD residuals for each population, was associated with local urbanization and less genetic diversity in both species. The influence of geographic proximity and urbanization on population connectivity was further supported by distance-based redundancy analysis and multiple matrix regression with randomization. Resistance surface modeling found interpopulation connectivity to be influenced by developed land cover, light roads, interstates, and topography for both species, plus secondary roads and rivers for wood frogs. Our results highlight the influence of anthropogenic landscape features within the context of natural features and broad spatial genetic patterns, in turn supporting the premise that while urbanization significantly restricts interpopulation connectivity for wood frogs and spotted salamanders, specific landscape elements have unique effects on these two sympatric species.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5685","usgsCitation":"Homola, J.J., Loftin, C., and Kinnison, M., 2019, Landscape genetics reveals unique and shared effects of urbanization for two sympatric pool-breeding amphibians: Ecology and Evolution, v. 9, no. 20, p. 11799-11823, https://doi.org/10.1002/ece3.5685.","productDescription":"25 p.","startPage":"11799","endPage":"11823","ipdsId":"IP-098892","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5685","text":"Publisher Index Page"},{"id":395242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","city":"Bangor, Portland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.57891845703125,\n 43.530629170442424\n ],\n [\n -70.11474609375,\n 43.530629170442424\n ],\n [\n -70.11474609375,\n 43.83650797709095\n ],\n [\n -70.57891845703125,\n 43.83650797709095\n ],\n [\n -70.57891845703125,\n 43.530629170442424\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.994140625,\n 44.67646564865964\n ],\n [\n -68.57666015625,\n 44.67646564865964\n ],\n [\n -68.57666015625,\n 44.953136827528816\n ],\n [\n -68.994140625,\n 44.953136827528816\n ],\n [\n -68.994140625,\n 44.67646564865964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"20","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Homola, Jared J.","contributorId":264547,"corporation":false,"usgs":false,"family":"Homola","given":"Jared","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":832349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":832348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinnison, Michael T.","contributorId":264555,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":832350,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206007,"text":"70206007 - 2019 - Anthropogenic and geologic causes of anomalously high uranium concentrations in groundwater used for drinking water supply in the southeastern San Joaquin Valley, CA","interactions":[],"lastModifiedDate":"2019-10-17T06:59:53","indexId":"70206007","displayToPublicDate":"2019-10-01T14:50:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic and geologic causes of anomalously high uranium concentrations in groundwater used for drinking water supply in the southeastern San Joaquin Valley, CA","docAbstract":"Concentrations of uranium (U) >30 µg/L in groundwater are relatively uncommon in drinking water in the United States but can be of concern in those areas where complex interactions of aquifer materials and anthropogenic alterations of the natural flow regime mobilize uranium. High concentrations (>30 µg/L) of U in the southeastern San Joaquin Valley, California, USA, have been detected in 24 percent of 257 domestic, irrigation, and public-supply wells sampled across an approximately 110,000 km2 area. The location of high concentrations depends on the interactions of U sources from fluvial fans that originate in the Sierra Nevada to the east and seepage of irrigation water that contains high concentrations of HCO3 that leaches U from the sediments. In addition, interactions with phosphate (PO4) from fertilized irrigated fields may sequester U in the aquifer. Principal component analysis of the data demonstrates that HCO3 and ions associated with high total dissolved solids in the aquifer and the percentage of agriculture near the well sampled are associated with high U concentrations. Nitrate concentrations do not appear to control release of U to the aquifer. Age dating of the groundwater and generally increasing U concentrations of the past 25 years in resampled wells where irrigation is prevalent suggests that high U concentrations are associated with younger water, indicating that irrigation of fields over the past 100 years has significantly contributed to increasing concentrations and mobilizing U. In some places, the groundwater is supersaturated with uranyl-containing minerals, as would be expected in roll front deposits. In general, the interaction of natural geological sources high in U, the anthropogenically driven addition of HCO3 and possibly phosphate fertilizer, control the location and concentration of U in each individual fluvial fan, but the addition of nitrate in fertilizer does not appear control the location of high U. These geochemical interactions can be used to determine controls on anomalously high U in alluvial aquifers","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124009","collaboration":"SWRCB","usgsCitation":"Rosen, M.R., Burow, K.R., and Fram, M., 2019, Anthropogenic and geologic causes of anomalously high uranium concentrations in groundwater used for drinking water supply in the southeastern San Joaquin Valley, CA: Journal of Hydrology, v. 577, p. 1-14, https://doi.org/10.1016/j.jhydrol.2019.124009.","productDescription":"124009, 14p.","startPage":"1","endPage":"14","ipdsId":"IP-083522","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437317,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ME8S6","text":"USGS data release","linkHelpText":"Water quality and ancillary data for assessment of uranium concentrations in groundwater, San Joaquin Valley, CA (ver. 1.1, December, 2019)"},{"id":368349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368344,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.124009"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.30029296875,\n 36.217687122250574\n ],\n [\n -119.25659179687499,\n 36.217687122250574\n ],\n [\n -119.25659179687499,\n 37.01132594307015\n ],\n [\n -120.30029296875,\n 37.01132594307015\n ],\n [\n -120.30029296875,\n 36.217687122250574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"577","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fram, Miranda 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":219833,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217792,"text":"70217792 - 2019 - Burial history reconstruction of the Appalachian Basin in Kentucky, West Virginia, Ohio, Pennsylvania, and New York, using 1D petroleum system models","interactions":[],"lastModifiedDate":"2021-02-02T19:47:44.189506","indexId":"70217792","displayToPublicDate":"2019-10-01T14:47:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Burial history reconstruction of the Appalachian Basin in Kentucky, West Virginia, Ohio, Pennsylvania, and New York, using 1D petroleum system models","docAbstract":"Nine 1D burial history models were built across the Appalachian Basin to reconstruct the burial, erosional, and thermal maturation histories of contained petroleum source rocks. Models were calibrated to measured downhole temperature and to vitrinite reflectance (% Ro) data from Devonian through Pennsylvanian petroleum source rocks. The highest levels of thermal maturity in Devonian and Mississippian source rocks are within and proximal to the Rome trough in the deep basin, which is also within the confluence of increased structural complexity and associated faulting, overpressured Devonian shales, and thick intervals of salt in the underlying Silurian Salina Group.
Models incorporate minor erosion from 260 to 140 million years ago (Ma) that allows for extended burial and heating of underlying strata and generally results in less eroded thickness, compared to previously published models. Two modeled times of increased erosion, from 140 to 90 Ma and 23 to 5.3 Ma, are followed by less erosion from 5.3 Ma to Present. Absent strata are mainly Permian shales and sandstone; thickness of these removed layers increased from about 6,200 ft (1,890 m) west of the Rome trough to as much as 9,650 ft (2,940 m) within the trough. The onset of oil generation is based on 0.6% Ro for Pennsylvanian coal samples; time of onset for the Ordovician Utica Shale ranges from 387 to 306 Ma, and 359 to 282 Ma for Middle Devonian to basal Mississippian shales. The ∼1.2% Ro onset of wet gas generation ranges from 360 to 281 Ma in the Utica Shale, and 298 to 150 Ma for Middle Devonian to lowermost Mississippian shales.
","language":"English","publisher":"The Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.56.4.365","usgsCitation":"Higley, D.K., and Enomoto, C.B., 2019, Burial history reconstruction of the Appalachian Basin in Kentucky, West Virginia, Ohio, Pennsylvania, and New York, using 1D petroleum system models: Mountain Geologist, v. 56, no. 4, p. 365-396, https://doi.org/10.31582/rmag.mg.56.4.365.","productDescription":"32 p.","startPage":"365","endPage":"396","ipdsId":"IP-098203","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":382896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, New York, Ohio, Pennsylvania, West 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