{"pageNumber":"586","pageRowStart":"14625","pageSize":"25","recordCount":184858,"records":[{"id":70215254,"text":"70215254 - 2020 - Linking mesoscale meteorology with extreme landscape response: Effects of narrow cold frontal rainbands (NCFR)","interactions":[],"lastModifiedDate":"2020-10-14T12:30:56.62952","indexId":"70215254","displayToPublicDate":"2020-10-04T07:23:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6454,"text":"Journal of Geophysical Research - Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Linking mesoscale meteorology with extreme landscape response: Effects of narrow cold frontal rainbands (NCFR)","docAbstract":"

Landscapes evolve in response to prolonged and/or intense precipitation resulting from atmospheric processes at various spatial and temporal scales. Whereas synoptic (large‐scale) features (e.g., atmospheric rivers and hurricanes) govern regional‐scale hydrologic hazards such as widespread flooding, mesoscale features such as thunderstorms or squall lines are more likely to trigger localized geomorphic hazards such as landslides. Thus, to better understand relations between hydrometeorological drivers and landscape response, a knowledge of mesoscale meteorology and its impacts is needed. Here we investigate the extreme geomorphic response associated with one type of mesoscale meteorological feature, the narrow cold frontal rainband (NCFR). Resulting from low‐level convergence and shallow convection along a cold front, NCFRs are narrow bands of high‐intensity rainfall that occur in midlatitude areas of the world. Our study examines an NCFR impacting the Sierra Nevada foothills (California, USA) that initiated over 500 landslides, mobilized ~360,000 metric tons of sediment to the fluvial system (as much as 16 times the local annual sediment yield), and severely damaged local infrastructure and regional water transport facilities. Coupling geomorphological field investigations with meteorological analyses, we demonstrate that precipitation associated with the NCFR was both intense (maximum 15 min intensity of 70 mm/hr) and localized, resulting in a highly concentrated band of shallow landsliding. This meteorological phenomenon likely plays an important role in landscape evolution and hazard initiation. Other types of mesoscale meteorological features also occur globally and offer new avenues for understanding the effects of storms on landscapes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JF005675","usgsCitation":"Collins, B.D., Oakley, N.S., Perkins, J.P., East, A.E., Corbett, S.C., and Hatchett, B.J., 2020, Linking mesoscale meteorology with extreme landscape response: Effects of narrow cold frontal rainbands (NCFR): Journal of Geophysical Research - Earth Surface, v. 125, no. 10, e2020JF005675, 19 p., https://doi.org/10.1029/2020JF005675.","productDescription":"e2020JF005675, 19 p.","ipdsId":"IP-118118","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":455145,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jf005675","text":"Publisher Index Page"},{"id":436767,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BU8FAQ","text":"USGS data release","linkHelpText":"Field, geotechnical, and meteorological data of the 22 March 2018 narrow cold frontal rainband (NCFR) and its effects, Tuolumne River canyon, Sierra Nevada Foothills, California"},{"id":379345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Groveland vicinity","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.56121826171875,\n 37.66208079655377\n ],\n [\n -119.93225097656251,\n 37.66208079655377\n ],\n [\n -119.93225097656251,\n 38.013476231041935\n ],\n [\n -120.56121826171875,\n 38.013476231041935\n ],\n [\n -120.56121826171875,\n 37.66208079655377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":801275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oakley, N. S. 0000-0001-5680-9296","orcid":"https://orcid.org/0000-0001-5680-9296","contributorId":236978,"corporation":false,"usgs":false,"family":"Oakley","given":"N.","email":"","middleInitial":"S.","affiliations":[{"id":47583,"text":"Desert Research Institute and Center for Western Weather and Water Extremes","active":true,"usgs":false}],"preferred":false,"id":801276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":801277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":801278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corbett, Skye C. 0000-0003-3277-1021 scorbett@usgs.gov","orcid":"https://orcid.org/0000-0003-3277-1021","contributorId":200617,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye","email":"scorbett@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":801279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatchett, Benjamin J. 0000-0003-1066-3601","orcid":"https://orcid.org/0000-0003-1066-3601","contributorId":214405,"corporation":false,"usgs":false,"family":"Hatchett","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":39033,"text":"Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada, USA","active":true,"usgs":false}],"preferred":false,"id":801280,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70214678,"text":"70214678 - 2020 - Whitebark pine cone production - 2020","interactions":[],"lastModifiedDate":"2021-01-26T18:49:32.456195","indexId":"70214678","displayToPublicDate":"2020-10-02T12:42:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7569,"text":"Project Summary","active":true,"publicationSubtype":{"id":1}},"title":"Whitebark pine cone production - 2020","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Haroldson, M.A., and van Manen, F.T., 2020, Whitebark pine cone production - 2020: Project Summary, 2 p.","productDescription":"2 p.","ipdsId":"IP-123075","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":382607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378978,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/2020-whitebark-pine-report"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.20361328125,\n 44.06390660801779\n ],\n [\n -110.291748046875,\n 43.1090040242731\n ],\n [\n -109.83032226562499,\n 43.01268088642034\n ],\n [\n -109.10522460937499,\n 42.52069952914966\n ],\n [\n -108.555908203125,\n 42.52879629320373\n ],\n [\n -108.61083984375,\n 42.74701217318067\n ],\n [\n -109.22607421875,\n 43.14909399920127\n ],\n [\n -109.21508789062499,\n 43.667871610117494\n ],\n [\n -108.797607421875,\n 43.77902662160831\n ],\n [\n -109.171142578125,\n 44.33956524809713\n ],\n [\n -109.21508789062499,\n 45.27488643704891\n ],\n [\n -110.511474609375,\n 45.79816953017265\n ],\n [\n -112.071533203125,\n 45.805828539928356\n ],\n [\n -112.335205078125,\n 45.22848059584359\n ],\n [\n -112.203369140625,\n 44.59829048984011\n ],\n [\n -111.20361328125,\n 44.06390660801779\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":800411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":800412,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215008,"text":"70215008 - 2020 - Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17α-ethinylestradiol)","interactions":[],"lastModifiedDate":"2020-10-06T20:03:55.160651","indexId":"70215008","displayToPublicDate":"2020-10-02T11:37:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17α-ethinylestradiol)","docAbstract":"

Endocrine disrupting contaminants are of continuing concern for potentially contributing to reproductive dysfunction in largemouth and smallmouth bass in the Chesapeake Bay watershed (CBW) and elsewhere. Exposures to atrazine (ATR) have been hypothesized to have estrogenic effects on vertebrate endocrine systems. The incidence of intersex in male smallmouth bass from some regions of CBW has been correlated with ATR concentrations in water. Fish early life stages may be particularly vulnerable to ATR exposure in agricultural areas, as a spring influx of pesticides coincides with spawning and early development. Our objectives were to investigate the effects of early life stage exposure to ATR or the model estrogen 17α-ethinylestradiol (EE2) on sexual differentiation and gene expression in gonad tissue. We exposed newly hatched largemouth bass (LMB, Micropterus salmoides) from 7 to 80 days post-spawn to nominal concentrations of 1, 10, or 100 µg ATR/L or 1 or 10 ng EE2/L and monitored histological development and transcriptomic changes in gonad tissue. We observed a nearly 100% female sex ratio in LMB exposed to EE2 at 10 ng/L, presumably due to sex reversal of males. Many gonad genes were differentially expressed between sexes. Multidimensional scaling revealed clustering by gene expression of the 1 ng EE2/L and 100 µg ATR/L-treated male fish. Some pathways responsive to EE2 exposure were not sex-specific. We observed differential expression in male gonad in LMB exposed to EE2 at 1 ng/L of several genes involved in reproductive development and function, including star, cyp11a2, ddx4 (previously vasa), wnt5b, cyp1a and samhd1. Expression of star, cyp11a2 and cyp1a in males was also responsive to ATR exposure. Overall, our results confirm that early development is a sensitive window for estrogenic endocrine disruption in LMB and are consistent with the hypothesis that ATR exposure induces some estrogenic responses in the developing gonad. However, ATR-specific and EE2-specific responses were also observed.

","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.9614","usgsCitation":"Leet, J.K., Richter, C.A., Cornman, R.S., Berninger, J., Bhandari, R., Nicks, D., Zajicek, J., Blazer, V., and Tillitt, D.E., 2020, Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17α-ethinylestradiol): PeerJ, v. 8, e9614, 26 p., https://doi.org/10.7717/peerj.9614.","productDescription":"e9614, 26 p.","ipdsId":"IP-113098","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":455149,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.9614","text":"Publisher Index Page"},{"id":436768,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZE9D6","text":"USGS data release","linkHelpText":"Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17a-ethinylestradiol)"},{"id":379091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania, Maryland, West Virginia, Virginia, Delaware","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.00341796875,\n 42.84375132629021\n ],\n [\n -78.42041015625,\n 40.43022363450862\n ],\n [\n -79.82666015625,\n 39.2832938689385\n ],\n [\n -80.79345703125,\n 37.68382032669382\n ],\n [\n -79.69482421875,\n 37.31775185163688\n ],\n [\n -76.48681640625,\n 37.03763967977139\n ],\n [\n -75.38818359375,\n 38.77121637244273\n ],\n [\n -75.65185546874999,\n 39.605688178320804\n ],\n [\n -74.72900390625,\n 42.342305278572816\n ],\n [\n -76.00341796875,\n 42.84375132629021\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Leet, Jessica Kristin 0000-0001-8142-6043","orcid":"https://orcid.org/0000-0001-8142-6043","contributorId":225505,"corporation":false,"usgs":true,"family":"Leet","given":"Jessica","email":"","middleInitial":"Kristin","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berninger, Jason P.","contributorId":173602,"corporation":false,"usgs":false,"family":"Berninger","given":"Jason P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":800534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bhandari, Ramji K.","contributorId":215751,"corporation":false,"usgs":false,"family":"Bhandari","given":"Ramji K.","affiliations":[{"id":39315,"text":"Department of Biology, University of North Carolina Greensboro, Greensboro, NC","active":true,"usgs":false}],"preferred":false,"id":800535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nicks, Diane K.","contributorId":242624,"corporation":false,"usgs":false,"family":"Nicks","given":"Diane K.","affiliations":[{"id":27990,"text":"Deceased","active":true,"usgs":false}],"preferred":false,"id":800536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zajicek, James L.","contributorId":211483,"corporation":false,"usgs":false,"family":"Zajicek","given":"James L.","affiliations":[{"id":38257,"text":"USGS-Columbia Environmental Research Center, Columbia, MO (Retired)","active":true,"usgs":false}],"preferred":false,"id":800537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":800538,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800539,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70216810,"text":"70216810 - 2020 - Carbon storage and sediment trapping by Egeria densa Planch., a globally invasive, freshwater macrophyte","interactions":[],"lastModifiedDate":"2020-12-08T13:41:37.126308","indexId":"70216810","displayToPublicDate":"2020-10-02T07:40:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Carbon storage and sediment trapping by Egeria densa Planch., a globally invasive, freshwater macrophyte","docAbstract":"

Invasive plants have long been recognized for altering ecosystem properties, but their long-term impacts on ecosystem processes remain largely unknown. In this study, we determined the impact of Egeria densa Planch, a globally invasive freshwater macrophyte, on sedimentation processes in a large tidal freshwater region. We measured carbon accumulation (CARs) and inorganic sedimentation rates in submerged aquatic vegetation SAV dominated by E. densa and compared these rates to those of adjacent tidal freshwater marshes. Study sites were chosen along a range of hydrodynamic conditions in the Sacramento-San Joaquin Delta of California, USA, where E. densa has been widespread since 1990. Cores were analyzed for bulk density, % inorganic matter, % organic carbon, 210Pb, and 137Cs. Our results show that E. densa patches constitute sinks for both “blue carbon” and inorganic sediment. Compared to marshes, E. densa patches have greater inorganic sedimentation rates (E. densa: 1103–5989 g m−2 yr−1, marsh: 393–1001 g m−2 yr−1, p < 0.01) and vertical accretion rates (E. densa: 0.4–1.3 cm yr−1, marsh: 0.3–0.5 cm yr−1, p < 0.05), but similar CARs (E. densa: 59–242 g C m−2 yr−1, marsh: 109–169 g C m−2 yr−1, p > 0.05). Sediment stored by E. densa likely reduces the resilience of adjacent marshes by depleting the sediment available for marsh-building. Because of its harmful traits, E. densa is not a suitable candidate for mitigating carbon pollution; however, currently invaded habitats may already contain a meaningful component of regional carbon budgets. Our results strongly suggest that E. densa patches are sinks for carbon and inorganic sediment throughout its global range, raising questions about how invasive SAV is altering biogeochemical cycling and sediment dynamics across freshwater ecosystems.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.142602","usgsCitation":"Drexler, J.Z., Khanna, S., and Lacy, J.R., 2020, Carbon storage and sediment trapping by Egeria densa Planch., a globally invasive, freshwater macrophyte: Science of the Total Environment, 142602, 12 p., https://doi.org/10.1016/j.scitotenv.2020.142602.","productDescription":"142602, 12 p.","ipdsId":"IP-115850","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455151,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.142602","text":"Publisher Index Page"},{"id":436769,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94F5578","text":"USGS data release","linkHelpText":"Radioisotopes, percent organic carbon, percent inorganic sediment, and bulk density for peat and sediment cores collected in the Sacramento-San Joaquin Delta, California"},{"id":381101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.03613281249999,\n 37.792422407988575\n ],\n [\n -121.2286376953125,\n 37.792422407988575\n ],\n [\n -121.2286376953125,\n 38.45789034424927\n ],\n [\n -122.03613281249999,\n 38.45789034424927\n ],\n [\n -122.03613281249999,\n 37.792422407988575\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khanna, Shruti","contributorId":205167,"corporation":false,"usgs":false,"family":"Khanna","given":"Shruti","email":"","affiliations":[{"id":37041,"text":"Department of Land, Air, and Water Resources, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":806346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217793,"text":"70217793 - 2020 - The biggest bang for the buck: Cost‐effective vegetation treatment outcomes across drylands of the western United States","interactions":[],"lastModifiedDate":"2021-02-03T21:15:39.75663","indexId":"70217793","displayToPublicDate":"2020-10-01T15:15:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The biggest bang for the buck: Cost‐effective vegetation treatment outcomes across drylands of the western United States","docAbstract":"

Restoration and rehabilitation are globally implemented to improve ecosystem condition but often without tracking treatment expenditures relative to ecological outcomes. We evaluated the cost‐effectiveness of widely conducted woody plant and herbaceous invasive plant removals and seeding treatments in drylands of the western United States from 2004 to 2018 to determine how land managers can optimize efforts. Woody plant cover decreased at a similar rate per dollar spent regardless of vegetation removal type, and the dominant invasive species was reduced by herbicide application. Relatively inexpensive herbicide application also had a large positive effect on seeded perennial grass cover that was enhanced by additional cost; while expensive woody mastication treatments had little effect regardless of additional cost. High seed cost was driven by including a large proportion of native species in seed mixes, and combined with high seeding cost, promoted a short‐term (2–3 yr) gain in perennial forb cover and species richness. In contrast, seeding and seed mix cost had no bearing on seeded perennial grass cover, in part, because relatively cheap nonnative seeded species rapidly increased in cover. Our results suggest the differential benefits of commonly implemented treatments aimed at reducing wildfire risk, improving wildlife habitat and forage, and reducing erosion. Given the growing need and cost of restoration and rehabilitation, we raise the importance of specifying treatment budgets and objectives, coupled with effectiveness monitoring, to improve future outcomes.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2151","usgsCitation":"Munson, S.M., Yackulic, E.O., Bair, L.S., Copeland, S.M., and Gunnell, K.L., 2020, The biggest bang for the buck: Cost‐effective vegetation treatment outcomes across drylands of the western United States: Ecological Applications, v. 30, no. 7, e02151, 14 p., https://doi.org/10.1002/eap.2151.","productDescription":"e02151, 14 p.","ipdsId":"IP-110179","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":382899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":809730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Copeland, Stella M. 0000-0001-6707-4803 scopeland@usgs.gov","orcid":"https://orcid.org/0000-0001-6707-4803","contributorId":169538,"corporation":false,"usgs":true,"family":"Copeland","given":"Stella","email":"scopeland@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":809731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gunnell, Kevin L. 0000-0003-4157-7140","orcid":"https://orcid.org/0000-0003-4157-7140","contributorId":214119,"corporation":false,"usgs":false,"family":"Gunnell","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":38982,"text":"Great Basin Research Center, Utah Division of Wildlife Resources, Ephraim, UT","active":true,"usgs":false}],"preferred":false,"id":809734,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209315,"text":"sir20205023 - 2020 - Distribution of selected hydrogeologic characteristics of the upper glacial and Magothy aquifers, Long Island, New York","interactions":[],"lastModifiedDate":"2020-10-01T19:44:37.604527","indexId":"sir20205023","displayToPublicDate":"2020-10-01T14:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5023","displayTitle":"Distribution of Selected Hydrogeologic Characteristics of the Upper Glacial and Magothy Aquifers, Long Island, New York","title":"Distribution of selected hydrogeologic characteristics of the upper glacial and Magothy aquifers, Long Island, New York","docAbstract":"

The Pleistocene- and Cretaceous-age sediments underlying Long Island, New York, compose an important sole-source aquifer system that is nearly 2,000 feet thick in some areas. Sediment characteristics of importance for water supply include water-transmitting properties—horizontal and vertical hydraulic conductivity—and the distribution of lignite, which provides an important control on oxygen-reduction (redox) conditions and water quality, in Cretaceous-age aquifers. Several decades of urbanization and the associated need to meet water demand have generated abundant data on the lithology of the aquifer sediments and the potential for an improved regional-scale understanding of this aquifer system. There is a range in the source and quality of the information, but large amounts of data, even of lesser quality, can yield insight into important aquifer characteristics.

The distribution of the horizontal and vertical hydraulic conductivity and the probability of occurrence of lignite and clay in the aquifer were developed for this study from a database of drilling records and geophysical logs. Lithologic descriptions were categorized into a set of standardized codes, which in turn, were aggregated into a set of general codes for the Pleistocene-age upper glacial and Cretaceous-age Magothy aquifers. General values of hydraulic conductivity were assigned to each code from published estimates on Long Island and analogous hydrogeologic environments on Cape Cod, Massachusetts. A binary value of 1 or 0 was assigned to each coded interval to indicate the presence or absence of lignite or based on keywords in the lithologic descriptions. This information was assembled into a geographic information system database that was queried sequentially and used to develop gridded values of each aquifer characteristic by use of ordinary kriging for a set of grids, each representing 10-foot-thick planar slices for the entire vertical thickness of each aquifer. These sets of grids, taken as a whole, represent a quasi-three-dimensional representation of each aquifer characteristic in both the upper glacial and Magothy aquifers.

The analysis of hydraulic conductivity shows patterns that generally reflect known depositional features of each unit and are consistent with the current understanding of the geology of the aquifers. Spatial patterns in the upper glacial aquifer show contrasts in estimated hydraulic conductivity: lower values occur in inland areas and likely are associated with glacial moraines; higher values generally occur to the south in association with glacial outwash. Higher values of hydraulic conductivity in the Magothy aquifer, which resulted from deltaic deposition, generally occur in the basal parts of the unit, are associated with channel-lag deposits and are found in parts of the aquifer known for large well yields. Lower values of hydraulic conductivity generally occur in middle parts of the aquifer associated with deposition in overbank and wetland environments. The probability of lignite occurrence is highest in this same vertical zone of the Magothy aquifer, consistent with deposition in wetland environments. The probability of lignite occurrence generally is highest along the southern shore of the island. Lignite occurrence generally is consistent with water-quality patterns; water quality in these same areas indicate chemically reducing conditions and redox-related iron biofouling commonly occurs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205023","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Walter, D.A., and Finkelstein, J.S., 2020, Distribution of selected hydrogeologic characteristics of the upper glacial and Magothy aquifers, Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2020–5023, 21 p., https://doi.org/10.3133/sir20205023.","productDescription":"Report: iv, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-111547","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":377889,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P954DLLC","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Aquifer texture data describing the Long Island aquifer system"},{"id":377890,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5023/coverthb.jpg"},{"id":377891,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5023/sir20205023.pdf","text":"Report","size":"8.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5023"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.11926269531249,\n 40.49291502689579\n ],\n [\n -71.85058593749999,\n 40.49291502689579\n ],\n [\n -71.7681884765625,\n 41.269549502842565\n ],\n [\n -74.11926269531249,\n 41.10832999732831\n ],\n [\n -74.11926269531249,\n 40.49291502689579\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-10-01","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786028,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214554,"text":"70214554 - 2020 - Selecting three components of ground motions from Conditional Spectra for multiple stripe analyses","interactions":[],"lastModifiedDate":"2021-12-13T14:18:19.76869","indexId":"70214554","displayToPublicDate":"2020-10-01T12:03:43","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Selecting three components of ground motions from Conditional Spectra for multiple stripe analyses","docAbstract":"

For complex structures where the seismic response depends appreciably on the vertical (V) component of ground motion (GM) (e.g., base-isolated buildings, long-span bridges, dams, nuclear power plants), incremental dynamic analysis (IDA) is commonly utilized to estimate seismic risk, where the V components of GM are selected and scaled based on the corresponding horizontal (H) components. The resulting seismic risk (e.g., fragility estimates, annual rates of failure) will likely be significantly biased when the scale factors in IDA are very large. As an alternative to IDA, multiple stripe analyses (MSA) with GMs for each stripe selected from the Conditional Spectrum (CS) can be used to estimate the seismic risk; however, the V components are still commonly selected and scaled based on the corresponding H components. Consequently, these V components may still be inconsistent relative to the corresponding target hazard, again yielding biased estimates of seismic risk. To improve the accuracy of seismic risk estimates, we extend the CS to include the V component of GM and present an approach to select multicomponent GMs that are hazard consistent with respect to all three components of GM. Using the target and the GM selection approach developed in this study, we then evaluate typical current practice for selecting and scaling V components of GM. We observe that the latter approach can yield hazard-inconsistent multicomponent GMs, but hazard consistency can be improved by including the V component in the selection process, constraining the scale factors, or widening the period range for selecting GMs.

","largerWorkTitle":"Proceedings of the 17th World Conference on Earthquake Engineering","language":"English","publisher":"Japan Association for Earthquake Engineering","usgsCitation":"Kwong, N.S., Jaiswal, K.S., Luco, N., and Baker, J.W., 2020, Selecting three components of ground motions from Conditional Spectra for multiple stripe analyses, in Proceedings of the 17th World Conference on Earthquake Engineering, 12 p.","productDescription":"12 p.","ipdsId":"IP-115998","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378960,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.17wcee.jp/program.php#a_proceedings"},{"id":378961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":241863,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","email":"","middleInitial":"Simon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":800073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":800074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":800075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, J. W. 0000-0003-2744-9599","orcid":"https://orcid.org/0000-0003-2744-9599","contributorId":198187,"corporation":false,"usgs":false,"family":"Baker","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":800076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228502,"text":"70228502 - 2020 - Fort Peck paddlefish population survival and abundance in the Missouri River","interactions":[],"lastModifiedDate":"2022-02-11T17:08:46.71916","indexId":"70228502","displayToPublicDate":"2020-10-01T11:01:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Fort Peck paddlefish population survival and abundance in the Missouri River","docAbstract":"

Excessive fishing pressure can induce population declines or complete collapse of fisheries. Unless commercial and recreational fisheries for K-selected fishes, or those with slow growth and late maturation, are carefully managed, declines in abundance or fishery collapse is probable. Paddlefish Polyodon spathula,are a K-selected species that experienced historical declines in abundance as a result of habitat degradation and overfishing. Mark-recapture studies are well-suited for long-lived fishes by providing information on population density and vital rates. For sustainable commercial or recreational fisheries targeting species such as the paddlefish, managers require accurate estimates of population vital rates including survival, abundance, and exploitation. We used a Montana Fish, Wildlife & Parks (MFWP) mark-recapture dataset and modified Jolly-Seber (POPAN) models to estimate survival, recapture, probability of entry, and abundance of 8,518 tagged paddlefish over a 25-year period. With many supporting estimates including stable survival (0.92 for females, mean of 0.82 for males), low exploitation rates (means of 2.6% for females and 2.9% for males), and stable abundance estimates (25-year mean of 12,309 individuals for both sexes), the Fort Peck paddlefish population appears to be stable and well-managed over the past 25 years. Presently, this is the only study focused on paddlefish in North America that has estimated survival and abundance for both male and female paddlefish using contemporary analyses. This research provided a unique opportunity to highlight that the effort exerted by management agencies to collect long-term field data is extremely useful to our understanding of fish populations and management.

","language":"English","publisher":"Wiley","doi":"10.1111/jai.14067","usgsCitation":"Glassic, H., Guy, C.S., Rotella, J.J., Nagel, C.J., Schmetterling, D.A., and Dalbey, S.R., 2020, Fort Peck paddlefish population survival and abundance in the Missouri River: Journal of Applied Ichthyology, v. 36, no. 5, p. 559-567, https://doi.org/10.1111/jai.14067.","productDescription":"9 p.","startPage":"559","endPage":"567","ipdsId":"IP-117176","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14067","text":"Publisher Index Page"},{"id":395852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Fort Peck Reservoir, Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.39984130859374,\n 48.03401915864286\n ],\n [\n -106.51519775390625,\n 48.026672195436014\n ],\n [\n -106.66900634765625,\n 47.964180715412276\n ],\n [\n -106.67449951171875,\n 47.868459093342956\n ],\n [\n -106.78985595703124,\n 47.80577611936809\n ],\n [\n -107.00958251953125,\n 47.75779097897638\n ],\n [\n -107.0123291015625,\n 47.70976154266637\n ],\n [\n -107.26226806640625,\n 47.69867153529717\n ],\n [\n -107.3583984375,\n 47.74486433470359\n ],\n [\n -107.4627685546875,\n 47.700520033704954\n ],\n [\n -107.46551513671875,\n 47.645036570200226\n ],\n [\n -107.51220703125,\n 47.66723703450518\n ],\n [\n -107.74841308593749,\n 47.68573021131587\n ],\n [\n -107.8912353515625,\n 47.5394554474239\n ],\n [\n -107.91046142578125,\n 47.58023129789275\n ],\n [\n -108.05877685546875,\n 47.622826666563675\n ],\n [\n -108.424072265625,\n 47.633932798340716\n ],\n [\n -108.687744140625,\n 47.64133557512159\n ],\n [\n -108.7042236328125,\n 47.61727271567975\n ],\n [\n -108.39385986328125,\n 47.56355410390806\n ],\n [\n -108.1988525390625,\n 47.56911375866714\n ],\n [\n -108.050537109375,\n 47.56540738772852\n ],\n [\n -107.9571533203125,\n 47.53389264528655\n ],\n [\n -108.0010986328125,\n 47.454094290400015\n ],\n [\n -107.90771484375,\n 47.37417465983494\n ],\n [\n -107.81982421874999,\n 47.46337939935778\n ],\n [\n -107.8363037109375,\n 47.51349065484327\n ],\n [\n -107.74841308593749,\n 47.52461999690651\n ],\n [\n -107.68524169921875,\n 47.59690318115471\n ],\n [\n -107.56439208984375,\n 47.62467785241324\n ],\n [\n -107.41333007812499,\n 47.570966845786124\n ],\n [\n -107.38311767578124,\n 47.646886969413\n ],\n [\n -107.2869873046875,\n 47.633932798340716\n ],\n [\n -107.0892333984375,\n 47.59875528481801\n ],\n [\n -106.9244384765625,\n 47.56540738772852\n ],\n [\n -106.7266845703125,\n 47.645036570200226\n ],\n [\n -106.55914306640625,\n 47.700520033704954\n ],\n [\n -106.47125244140625,\n 47.85740289465826\n ],\n [\n -106.3751220703125,\n 47.73747623919626\n ],\n [\n -106.32843017578125,\n 47.62467785241324\n ],\n [\n -106.3201904296875,\n 47.5264746577327\n ],\n [\n -106.270751953125,\n 47.50050343862717\n ],\n [\n -106.19384765625,\n 47.54501765940571\n ],\n [\n -106.16912841796875,\n 47.60245929546312\n ],\n [\n -106.1993408203125,\n 47.80393135603966\n ],\n [\n -106.2652587890625,\n 47.938426929481054\n ],\n [\n -106.31469726562499,\n 48.011975126709956\n ],\n [\n -106.34765625,\n 48.03769224746972\n ],\n [\n -106.39984130859374,\n 48.03401915864286\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Glassic, Hayley C.","contributorId":243051,"corporation":false,"usgs":false,"family":"Glassic","given":"Hayley C.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":834454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":834453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":834455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagel, Cody J.","contributorId":275985,"corporation":false,"usgs":false,"family":"Nagel","given":"Cody","email":"","middleInitial":"J.","affiliations":[{"id":39047,"text":"Montana Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":834456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmetterling, David A.","contributorId":20223,"corporation":false,"usgs":true,"family":"Schmetterling","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":834457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalbey, Steven R.","contributorId":275988,"corporation":false,"usgs":false,"family":"Dalbey","given":"Steven","email":"","middleInitial":"R.","affiliations":[{"id":39047,"text":"Montana Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":834458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228250,"text":"70228250 - 2020 - Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2022-02-08T17:08:16.269993","indexId":"70228250","displayToPublicDate":"2020-10-01T10:46:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama","title":"Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama","docAbstract":"

Eastern oysters have been acknowledged for their important contribution to human well-being by providing goods and services including nitrogen removal from water bodies. In this study, we integrated daily environmental data (2008–2016) and filtration rate model parameter uncertainty to estimate nitrogen removal from denitrification and nitrogen burial services provided by the current extent of oyster (Crassostrea virginica) reefs in Mobile Bay, Alabama. Oyster landing data (2008–2016) in the Bay were also used to estimate nitrogen removal through oyster harvest. A replacement cost method using an engineering solution from wastewater treatment plants was implemented to quantify the economic benefit of the nitrogen removal. The estimated total nitrogen removal services provided by oyster reefs in Mobile Bay was 34,911 ± 5,032 kg N yr−1 (mean ± 1sd), in which 22,095 ± 3,305 kg N yr−1 from denitrification, 11,047 ± 1,652 kg N yr−1 from burial of nitrogen into sediments and 1,769 ± 876 kg N yr−1 by oyster harvest. The mean economic benefit was $76,455 ± 11,020 yr−1 which was estimated as $73.2 ± 11.5 ha−1 yr−1. This method could be used for any time period to estimate the nitrogen removal service in Mobile Bay. With proper modification of model parameters, this method could also be used elsewhere to estimate nitrogen removal services provided by oysters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106541","usgsCitation":"Lai, Q., Irwin, E.R., and Zhang, Y., 2020, Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama: Ecological Indicators, v. 117, p. 1-9, https://doi.org/10.1016/j.ecolind.2020.106541.","productDescription":"106541, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-109626","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":455156,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106541","text":"Publisher Index Page"},{"id":395631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Gulf of Mexico, Mobile Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.25042724609374,\n 30.23652704486517\n ],\n [\n -88.06228637695312,\n 30.203300547277813\n ],\n [\n -87.69012451171875,\n 30.22466172703242\n ],\n [\n -87.88375854492186,\n 30.456960567387625\n ],\n [\n -87.85491943359375,\n 30.822063696500948\n ],\n [\n -88.05130004882812,\n 30.86686781614027\n ],\n [\n -88.13232421875,\n 30.657996912582398\n ],\n [\n -88.25042724609374,\n 30.23652704486517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lai, Quan","contributorId":204521,"corporation":false,"usgs":false,"family":"Lai","given":"Quan","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":833537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yaoqi","contributorId":275164,"corporation":false,"usgs":false,"family":"Zhang","given":"Yaoqi","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":833750,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215979,"text":"70215979 - 2020 - The impacts of a changing climate to DOD coastal facilities in the tropical Pacific Ocean","interactions":[],"lastModifiedDate":"2021-01-28T16:34:47.129382","indexId":"70215979","displayToPublicDate":"2020-10-01T10:26:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2837,"text":"Natural Selections","active":true,"publicationSubtype":{"id":10}},"title":"The impacts of a changing climate to DOD coastal facilities in the tropical Pacific Ocean","docAbstract":"

The USGS, the National Oceanic and Atmospheric Administration (NOAA), Deltares, and the University of Hawaii (UH) recently completed a study investigating the impact of a changing climate and sea-level rise on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands, which is part of the Ronald Reagan Ballistic Missile Defense Test Site (RTS). The isolated location of RTS makes it uniquely suited to support realistic testing of missiles and intercept scenarios with minimal safety and environmental concerns. In addition, this unique location supports research and development for space and missile programs and space reconnaissance and surveillance operations. RTS has been a critical component of the Pacific Range, with the world’s most advanced telemetry, optics, and radar instrumentation used to collect metric and signature data on missiles.

","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Storlazzi, C., 2020, The impacts of a changing climate to DOD coastal facilities in the tropical Pacific Ocean: Natural Selections, no. Fall, p. 5-6.","productDescription":"2 p.","startPage":"5","endPage":"6","ipdsId":"IP-119241","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":382763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380012,"type":{"id":11,"text":"Document"},"url":"https://www.denix.osd.mil/nr/resources/newsletter/2020/fall-2020/Natural%20Selections_Fall%202020_v8_final_508.pdf"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Kwajalein Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 167.69720077514648,\n 8.704062518222123\n ],\n [\n 167.7499008178711,\n 8.704062518222123\n ],\n [\n 167.7499008178711,\n 8.755812668914562\n ],\n [\n 167.69720077514648,\n 8.755812668914562\n ],\n [\n 167.69720077514648,\n 8.704062518222123\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"Fall","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":244273,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":803647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70214571,"text":"ofr20201087 - 2020 - Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska","interactions":[],"lastModifiedDate":"2020-10-02T11:46:04.926688","indexId":"ofr20201087","displayToPublicDate":"2020-10-01T10:12:49","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1087","displayTitle":"Analyses on Subpopulation Abundance and Annual Number of Maternal Dens for the U.S. Fish and Wildlife Service on Polar Bears (Ursus maritimus) in the Southern Beaufort Sea, Alaska","title":"Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska","docAbstract":"

The long-term persistence of polar bears (Ursus maritimus) is threatened by sea-ice loss due to climate change, which is concurrently providing an opportunity in the Arctic for increased anthropogenic activities including natural resource extraction. Mitigating the risk of those activities, which can adversely affect the population dynamics of the southern Beaufort Sea (SBS) subpopulation, is an emerging challenge as polar bears become more reliant on land and come into more frequent contact with humans. The Marine Mammal Protection Act and Endangered Species Act require the U.S. Fish and Wildlife Service to determine whether industrial activities will have a negligible impact on the SBS subpopulation. Information important to making that determination includes estimates of subpopulation abundance and the number of maternal dens likely to be present in areas where industrial activities occur. We analyzed mark-recapture data collected from SBS polar bears sampled in Alaska during 2001–16 using multistate Cormack-Jolly-Seber models. Estimated survival rates were relatively high during 2001–03, lower during 2004–08, then higher during 2009–15 except for 2012. Estimated abundance in the Alaska part of the SBS was consistent with the estimated survival rates, declining from about 1,300 bears in 2003 to 525 bears in 2006 and then remaining generally stable during 2006–15. The point estimate for the Alaska part of the SBS in 2015, the last year in which abundance could be estimated, was 573 bears (95-percent credible interval = 232, 1,140 bears). To estimate the expected number of terrestrial dens likely to be present in a given region in a given year, we used a Bayesian modeling approach based on calculations derived from SBS demographic and denning data. We estimated that the entire SBS subpopulation produced 123 dens per year (median; 95-percent credible interval = 69, 198 dens), 66 (median; 95-percent credible interval = 35, 110 dens) of which were land-based. Most land-based dens were located between the Colville and Canning Rivers (which includes the Prudhoe Bay-Kuparuk industrial footprint), followed by the 1002 Area of the Arctic National Wildlife Refuge and the National Petroleum Reserve-Alaska.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201087","collaboration":"U.S. Geological Survey Wildlife Program","usgsCitation":"Atwood, T.C., Bromaghin, J.F., Patil, V.P., Durner, G.M., Douglas, D.C., and Simac, K.S., 2020, Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska: U.S. Geological Survey Open-File Report 2020-1087, 16 p., https://doi.org/10.3133/ofr20201087.","productDescription":"Report: iv, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-120083","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":378973,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1121","text":"Data Series 1121","description":"DS 1121"},{"id":378971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1087/coverthb.jpg"},{"id":378972,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1087/ofr20201087.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1087"},{"id":378974,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9E5UP","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Multistate capture and search data from the southern Beaufort Sea polar bear subpopulation in Alaska, 2001-2016"}],"country":"United States","state":"Alaska","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.642578125,\n 69.06856318696033\n ],\n [\n -140.9326171875,\n 69.06856318696033\n ],\n [\n -140.9326171875,\n 72.40899172812024\n ],\n [\n -158.642578125,\n 72.40899172812024\n ],\n [\n -158.642578125,\n 69.06856318696033\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-10-01","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@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}],"preferred":true,"id":800372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":800373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800376,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216296,"text":"70216296 - 2020 - Memorial to Jack B. Epstein 1935-2020","interactions":[],"lastModifiedDate":"2020-11-12T16:04:33.76603","indexId":"70216296","displayToPublicDate":"2020-10-01T09:49:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5256,"text":"Geological Society of America Memorials","active":true,"publicationSubtype":{"id":10}},"title":"Memorial to Jack B. Epstein 1935-2020","docAbstract":"Jack Burton Epstein, a career geologist with the U.S. Geological Survey (USGS) passed away in May 2020 at his home in Great Falls, Virginia. His career and contributions to the USGS spanned more than 60 years from his time as a summer field assistant while attending college, through 40 years as a research geologist, and more than 15 years as an emeritus scientist. Jack was born December 27, 1935 in Brooklyn, New York and attended CUNY- Brooklyn College where he received his Bachelor of Science degree in geology in 1956. He earned his Master of Science degree in 1958 from the University of Wyoming, and his doctorate degree in geology in 1970 from The Ohio State University. His master’s thesis was geologic mapping of the Fanny Peak quadrangle, Black Hills of Wyoming and South Dakota, and his Ph. D. dissertation focused on the geology of the Stroudsburg quadrangle and adjacent areas, Pennsylvania and New Jersey.","language":"English","publisher":"Geological Society of America","usgsCitation":"Orndorff, R.C., Weary, D.J., and Lyttle, P.T., 2020, Memorial to Jack B. Epstein 1935-2020: Geological Society of America Memorials, v. 49, p. 51-53.","productDescription":"3 p.","startPage":"51","endPage":"53","ipdsId":"IP-123108","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":380461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380459,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.geosociety.org/GSA/Publications/Books/Memorials/GSA/Pubs/Memorials.aspx"},{"id":380396,"type":{"id":5,"text":"Authors Website"},"url":"https://www.usgs.gov/center-news/memorial-jack-b-epstein1935-2020"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":804589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":804590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyttle, Peter T.","contributorId":244786,"corporation":false,"usgs":false,"family":"Lyttle","given":"Peter","email":"","middleInitial":"T.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":804591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228380,"text":"70228380 - 2020 - An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data","interactions":[],"lastModifiedDate":"2022-02-09T15:54:16.569092","indexId":"70228380","displayToPublicDate":"2020-10-01T09:45:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data","docAbstract":"

State fish and wildlife agencies rely on hunters and anglers (i.e., sportspersons) to fund management actions through revenue generated from license sales and excise taxes on hunting and fishing equipment. There is a need to develop new techniques that bridge the information gap on participation and provide agencies with an understanding of sportspersons at a resolution that can more directly inform efforts to engage sportspersons. Monitoring sportsperson participation using information about their license-purchasing behavior has the potential to reveal important patterns in recruitment (first-time purchase of a hunting or fishing license), retention (continued purchase of licenses across multiple years), and reactivation (purchase a license after several years with no purchases). Providing up-to-date information on what licenses are purchased, when and by whom may prove invaluable to managers and policy makers. We present a customizable, open-source, web-based application—huntfishapp—that allows the user to query and interact with a structured query language (SQL) hunting and fishing license database. The huntfishapp serves as an informational resource and tool that provides a framework to share information on license sales across an agency, with intent of increasing understanding of (a) sportspersons and (b) how management decisions affect sportspersons. Data dashboards, like the huntfishapp, allow agencies and non-governmental organizations to become more knowledgeable of their customer base and provide a greater understanding of management-decision effects on hunting and fishing participation.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0226397","usgsCitation":"Price, N.B., Chizinski, C.J., Fontaine, J.J., Pope, K.L., Rahe, M., and Rawlinson, J., 2020, An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data: PLoS ONE, v. 15, no. 10, p. 1-17, https://doi.org/10.1371/journal.pone.0226397.","productDescription":"e0226397, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-111226","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":455159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0226397","text":"Publisher Index Page"},{"id":395669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"editors":[{"text":"Xin, Baogui","contributorId":275367,"corporation":false,"usgs":false,"family":"Xin","given":"Baogui","email":"","affiliations":[],"preferred":false,"id":834054,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Price, Nathaniel B.","contributorId":264316,"corporation":false,"usgs":false,"family":"Price","given":"Nathaniel","email":"","middleInitial":"B.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":834042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":834043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":834045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rahe, Micaela","contributorId":275362,"corporation":false,"usgs":false,"family":"Rahe","given":"Micaela","email":"","affiliations":[{"id":56765,"text":"National Wild Turkey Federation","active":true,"usgs":false}],"preferred":false,"id":834046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rawlinson, Jeff","contributorId":275363,"corporation":false,"usgs":false,"family":"Rawlinson","given":"Jeff","email":"","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":834047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227191,"text":"70227191 - 2020 - “Mostri Marini”: Constantine S. Rafinesque's names for three of Antonino Mongitore's Sicilian whales","interactions":[],"lastModifiedDate":"2022-01-04T15:35:27.933477","indexId":"70227191","displayToPublicDate":"2020-10-01T09:26:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":890,"text":"Archives of Natural History","active":true,"publicationSubtype":{"id":10}},"title":"“Mostri Marini”: Constantine S. Rafinesque's names for three of Antonino Mongitore's Sicilian whales","docAbstract":"

In 1815, the naturalist Constantine Samuel Rafinesque (1783–1840) previewed three new species of cetaceans – Delphinus dalippus, Physeter urganantus and Oxypterus mongitori – that he intended to describe from Sicily based on illustrations in Antonino Mongitore's published work Della Sicilia ricercata nelle cose più memorabili (1742–1743). Although formal descriptions of the three species were never published, Rafinesque's reference to Mongitore's illustrations made the names available by “indication”. The names, nonetheless, fell into obscurity, most likely a result of contemporary taxonomists' lack of access to Mongitore's work. Rafinesque's names remain relevant to the history of cetacean taxonomy, although they are no longer applicable. Moreover, the animals associated with these names add to the historical record of whale strandings in the Mediterranean. For these reasons, we studied the illustrations Rafinesque indicated for his cetaceans and reviewed Mongitore's accompanying text, which together provide sufficient distinctive characters that two of the three animals can be confidently identified with modern species, namely the sperm whale, Physeter catodon (Linnaeus, 1758), and the false killer whale, Pseudorca crassidens (Owen, 1846). Had Rafinesque's name D. dalippus been recognized for what it was, it would have had priority over P. crassidens as the earliest scientific name for the false killer whale.

","language":"English","publisher":"University of Edinburgh Press","doi":"10.3366/anh.2020.0659","usgsCitation":"Woodman, N., Mead, J.G., and McGowen, M.R., 2020, “Mostri Marini”: Constantine S. 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Center","active":true,"usgs":true}],"preferred":true,"id":830031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mead, James G.","contributorId":196893,"corporation":false,"usgs":false,"family":"Mead","given":"James","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":830032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowen, Michael R.","contributorId":270784,"corporation":false,"usgs":false,"family":"McGowen","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":830033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215556,"text":"70215556 - 2020 - Growth rates for immature Kemp’s ridley sea turtles from a foraging area in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-10-23T14:13:43.032702","indexId":"70215556","displayToPublicDate":"2020-10-01T09:12:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates for immature Kemp’s ridley sea turtles from a foraging area in the northern Gulf of Mexico","docAbstract":"

Examining vital rates helps clarify how environmental characteristics, biological resources and human activities affect population growth. Carapace lengths were gathered for 241 Kemp’s ridley Lepidochelys kempii sea turtles that were marked and recaptured (n = 23) between 2011 and 2019 at a foraging location in northwest Florida, USA. There was a strong correlation between length, width and weight of captured turtles. Mean ± SD size of all captured turtles was 36.6 ± 7.6 cm. Mean recapture interval was 499 ± 475.4 d. Straight-line carapace lengths at initial capture ranged from 20.6 to 53.3 cm. Growth rates from 0.21 to 12.44 cm yr-1 (mean 3.15 ± 2.64 cm) were documented and were greatest for turtles in the 20.0-29.9 cm size class. Growth rates from northwest Florida were slower than those reported from other sites in the Gulf of Mexico. These results indicate that Kemp’s ridleys recruit from oceanic habitat into coastal bays in northwest Florida, where they remain until they reach adulthood. However, some adult-sized turtles may continue to use the nearshore habitat. A gradient in growth rates in the Gulf of Mexico may occur from faster growth in the south to slower growth in the north. Fine-scale variations in resources and environmental conditions may drive regional differences in growth rates, and research on what drives these differences is needed.

","language":"English","publisher":"Inter Research","doi":"10.3354/meps13469","usgsCitation":"Lamont, M., and Johnson, D., 2020, Growth rates for immature Kemp’s ridley sea turtles from a foraging area in the northern Gulf of Mexico: Marine Ecology Progress Series, v. 652, p. 145-155, https://doi.org/10.3354/meps13469.","productDescription":"11 p.","startPage":"145","endPage":"155","ipdsId":"IP-117876","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":379690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.162109375,\n 23.96617587126503\n ],\n [\n -81.650390625,\n 23.96617587126503\n ],\n [\n -81.650390625,\n 31.728167146023935\n ],\n [\n -101.162109375,\n 31.728167146023935\n ],\n [\n -101.162109375,\n 23.96617587126503\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"652","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221213,"text":"70221213 - 2020 - Book review of \"Exploration and production of oceanic natural gas hydrate\", second edition, by Michael D. Max and Arthur H. Johnson","interactions":[],"lastModifiedDate":"2021-06-07T13:37:43.677387","indexId":"70221213","displayToPublicDate":"2020-10-01T08:35:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Book review of \"Exploration and production of oceanic natural gas hydrate\", second edition, by Michael D. Max and Arthur H. Johnson","docAbstract":"

No abstract available.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle39100757.1","usgsCitation":"Haines, S.S., 2020, Book review of \"Exploration and production of oceanic natural gas hydrate\", second edition, by Michael D. Max and Arthur H. Johnson: The Leading Edge, v. 39, no. 10, https://doi.org/10.1190/tle39100757.1.","productDescription":"1 p.","startPage":"757","ipdsId":"IP-117189","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":386264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817074,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216486,"text":"70216486 - 2020 - Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements","interactions":[],"lastModifiedDate":"2020-11-23T14:24:51.327379","indexId":"70216486","displayToPublicDate":"2020-10-01T08:13:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements","docAbstract":"

The Hooskanaden landslide is a large (~600 m wide × 1,300 m long), deep (~30 – 45 m) slide located in southwestern Oregon. Since 1958, it has had five moderate/major movements that catastrophically damaged the intersecting U.S. Highway 101, along with persistent slow wet‐season movements and a long‐term accelerating trend due to coastal erosion. Multiple remote sensing approaches, borehole measurements, and hydrological observations have been integrated to interpret the motion behaviors of the slide. Pixel offset tracking of both Sentinel‐1 and Sentinel‐2 images was carried out to reconstruct the 3‐D displacement field of the 2019 major event, and the results agree well with field measurements. A 12‐year displacement history of the landslide from 2007 to 2019 has been retrieved by incorporating offsets from Light Detection and Ranging (LiDAR) digital elevation model (DEM) gradients and Interferometric Synthetic Aperture Radar (InSAR) processing of ALOS and Sentinel‐1 images. Comparisons with daily/hourly ground precipitation reveal that the motion dynamics are predominantly controlled by intensity and temporal pattern of rainfall. A new empirical threefold rainfall threshold was therefore proposed to forecast the dates for the moderate/major movements. This threshold relies upon antecedent water‐year and previous 3‐day and daily precipitation and was able to represent observed movement periods well. Adaptation of our threshold methodology could prove useful for other large, deep landslides for which temporal forecasting has long been generally intractable. The averaged characteristic hydraulic conductivity and diffusivity were estimated as 6.6 × 10−6 m/s and 6.6 × 10−4 m2/s, respectively, based on the time lags between rainfall pulses and slide accelerations. Hydrologic modeling using these parameters helps to explain the ability of the new rainfall threshold.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JF005640","usgsCitation":"Xu, Y., Lu, Z., Schulz, W.H., and Kim, J., 2020, Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements: JGR Earth Surface, e2020JF005640, 17 p., https://doi.org/10.1029/2020JF005640.","productDescription":"e2020JF005640, 17 p.","ipdsId":"IP-122021","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":455164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jf005640","text":"Publisher Index Page"},{"id":380683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Hooskanaden Landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4146728515625,\n 42.09822241118974\n ],\n [\n -124.11392211914062,\n 42.09822241118974\n ],\n [\n -124.11392211914062,\n 42.2752765520868\n ],\n [\n -124.4146728515625,\n 42.2752765520868\n ],\n [\n -124.4146728515625,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Y.","contributorId":245125,"corporation":false,"usgs":false,"family":"Xu","given":"Y.","affiliations":[{"id":49088,"text":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA","active":true,"usgs":false}],"preferred":false,"id":805387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Z.","contributorId":199276,"corporation":false,"usgs":false,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":805388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":805389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, J.","contributorId":245126,"corporation":false,"usgs":false,"family":"Kim","given":"J.","affiliations":[{"id":49088,"text":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA","active":true,"usgs":false}],"preferred":false,"id":805390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216471,"text":"70216471 - 2020 - Improved prediction of management-relevant groundwater discharge characteristics throughout river networks","interactions":[],"lastModifiedDate":"2020-11-20T13:56:50.942422","indexId":"70216471","displayToPublicDate":"2020-10-01T07:54:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Improved prediction of management-relevant groundwater discharge characteristics throughout river networks","docAbstract":"

Groundwater discharge zones connect aquifers to surface water, generating baseflow and serving as ecosystem control points across aquatic ecosystems. The influence of groundwater discharge on surface flow connectivity, fate and transport of contaminants and nutrients, and thermal habitat depends strongly on hydrologic characteristics such as the spatial distribution, age, and depth of source groundwater flow paths. Groundwater models have the potential to predict spatial discharge characteristics within river networks, but models are often not evaluated against these critical characteristics and model equifinality with respect to discharge processes is a known challenge. We quantify discharge characteristics across a suite of groundwater models with commonly used frameworks and calibration data. We developed a base model (MODFLOW‐NWT) for a 1,570‐km2 watershed in the northeastern United States and varied the calibration data, control of river‐aquifer exchange directionality, and resolution. Most models (n = 11 of 12) fit similarly to calibration metrics, but patterns in discharge location, flow path depth, and subsurface travel time varied substantially. We found (1) a 15% difference in the percent of discharge going to first‐order streams, (2) threefold variations in flow path depth, and (3) sevenfold variations in the subsurface travel times among the models. We recalibrated three models using a synthetic discharge location data set. Calibration with discharge location data reduced differences in simulated discharge characteristics, suggesting an approach to improved equifinality based on widespread field‐based mapping of discharge zones. Our work quantifying variation across common modeling approaches is an important step toward characterizing and improving predictions of groundwater discharge characteristics.

","language":"English","publisher":"Wiley","doi":"10.1029/2020WR028027","usgsCitation":"Barclay, J.R., Starn, J., Briggs, M.A., and Helton, A., 2020, Improved prediction of management-relevant groundwater discharge characteristics throughout river networks: Water Resources Research, v. 56, no. 10, e2020WR028027, 19 p., https://doi.org/10.1029/2020WR028027.","productDescription":"e2020WR028027, 19 p.","ipdsId":"IP-111576","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":436770,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P960RSKM","text":"USGS data release","linkHelpText":"MODFLOW-NWT and MODPATH groundwater flow models of the Farmington River Watershed (Connecticut and Massachusetts)"},{"id":380643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Farmington River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.212890625,\n 41.76106872528616\n ],\n [\n -72.66357421875,\n 41.76106872528616\n ],\n [\n -72.66357421875,\n 42.2752765520868\n ],\n [\n -73.212890625,\n 42.2752765520868\n ],\n [\n -73.212890625,\n 41.76106872528616\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":805226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helton, Ashley","contributorId":219741,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":805228,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216500,"text":"70216500 - 2020 - Tradeoffs with growth limit host range in complex life-cycle helminths","interactions":[],"lastModifiedDate":"2021-02-04T00:01:15.052436","indexId":"70216500","displayToPublicDate":"2020-10-01T07:45:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5500,"text":"The American Naturalist","onlineIssn":"1537-5323","printIssn":" 0003-014","active":true,"publicationSubtype":{"id":10}},"title":"Tradeoffs with growth limit host range in complex life-cycle helminths","docAbstract":"Parasitic worms with complex life cycles have several developmental stages, with each stage creating opportunities to infect additional host species. Using a dataset for 973 species of trophically transmitted acanthocephalans, cestodes, and nematodes, we confirmed that worms with longer life cycles (i.e. more successive hosts) infect a greater diversity of host species and taxa (after controlling for study effort). Generalism at the stage level was highest for ‘middle’ life stages, the second and third intermediate hosts of long life cycles. By simulating life cycles in real food webs, we found that middle stages had more potential host species to infect, suggesting that opportunity constrains generalism. However, parasites usually infected fewer host species than expected from simulated cycles, suggesting generalism also has costs. There was no tradeoff in generalism from one stage to the next, but worms spent less time growing and developing in stages where they infected more taxonomically diverse hosts. Our results demonstrate that life cycle complexity favors high generalism, and host use across life stages is determined by both ecological opportunity and life history tradeoffs.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/712249","usgsCitation":"Benesh, D.P., Parker, G.G., Chubb, J.C., and Lafferty, K.D., 2020, Tradeoffs with growth limit host range in complex life-cycle helminths: The American Naturalist, v. 197, no. 2, p. E40-E54, https://doi.org/10.1086/712249.","productDescription":"15 p.","startPage":"E40","endPage":"E54","ipdsId":"IP-117519","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":380739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benesh, Daniel P.","contributorId":181950,"corporation":false,"usgs":false,"family":"Benesh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":805472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Geoffrey G.","contributorId":197841,"corporation":false,"usgs":false,"family":"Parker","given":"Geoffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":805473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chubb, James C","contributorId":245155,"corporation":false,"usgs":false,"family":"Chubb","given":"James","email":"","middleInitial":"C","affiliations":[{"id":49097,"text":"Department of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool L69 7ZB, UK","active":true,"usgs":false}],"preferred":false,"id":805474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214672,"text":"70214672 - 2020 - Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing","interactions":[],"lastModifiedDate":"2024-05-16T14:54:29.115475","indexId":"70214672","displayToPublicDate":"2020-10-01T07:36:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1121,"text":"Bulletin of the Ecological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing","docAbstract":"Across the Central Valley of California, millions of wintering waterfowl rely on moist soil seed (MSS) plants that grow in managed seasonal wetlands as a critical source of food. Estimates of MSS plant production are used to set waterfowl habitat targets yet this information is not well known. We created the first Central Valley-wide time series maps of MSS plant distributions and productivity. We found that MSS plant seed yield declined in critical drought years, which corresponded with reduced water delivery to managed wetlands. Our results provide improved food resource estimates and information to help managers prioritize actions as water supply becomes more uncertain with climate change.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/bes2.1770","usgsCitation":"Byrd, K.B., Lorenz, A., Anderson, J., Wallace, C., Moore-O'Leary, K., Isola, J., Ortega, R., and Reiter, M., 2020, Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing: Bulletin of the Ecological Society of America, v. 101, no. 4, e01770, 5 p., https://doi.org/10.1002/bes2.1770.","productDescription":"e01770, 5 p.","ipdsId":"IP-121302","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":455168,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/bes2.1770","text":"Publisher Index Page"},{"id":378984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.51953124999999,\n 40.613952441166596\n ],\n [\n -122.82714843749999,\n 40.54720023441049\n ],\n [\n -122.78320312499999,\n 39.9434364619742\n ],\n [\n -122.82714843749999,\n 39.198205348894795\n ],\n [\n -122.16796875,\n 38.51378825951165\n ],\n [\n -121.59667968749999,\n 37.78808138412046\n ],\n [\n -120.9375,\n 36.84446074079564\n ],\n [\n -120.36621093749999,\n 35.92464453144099\n ],\n [\n -119.3115234375,\n 35.17380831799959\n ],\n [\n -118.65234374999999,\n 35.06597313798418\n ],\n [\n -118.43261718749999,\n 35.35321610123823\n ],\n [\n -118.5205078125,\n 36.27970720524017\n 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0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, James","contributorId":242025,"corporation":false,"usgs":false,"family":"Anderson","given":"James","affiliations":[{"id":40562,"text":"Golder Associates","active":true,"usgs":false}],"preferred":false,"id":800387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Cynthia 0000-0003-0001-8828 cwallace@usgs.gov","orcid":"https://orcid.org/0000-0003-0001-8828","contributorId":149179,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia","email":"cwallace@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore-O'Leary, Kara","contributorId":242026,"corporation":false,"usgs":false,"family":"Moore-O'Leary","given":"Kara","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isola, Jennifer","contributorId":242027,"corporation":false,"usgs":false,"family":"Isola","given":"Jennifer","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ortega, Ricardo","contributorId":242028,"corporation":false,"usgs":false,"family":"Ortega","given":"Ricardo","email":"","affiliations":[{"id":48476,"text":"Grassland Water District","active":true,"usgs":false}],"preferred":false,"id":800391,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reiter, Matt","contributorId":242029,"corporation":false,"usgs":false,"family":"Reiter","given":"Matt","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":800392,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70214679,"text":"70214679 - 2020 - Photoluminescence imaging of whole zircon grains on a petrographic microscope—An underused aide for geochronologic studies","interactions":[],"lastModifiedDate":"2020-10-02T12:33:44.424123","indexId":"70214679","displayToPublicDate":"2020-10-01T07:22:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Photoluminescence imaging of whole zircon grains on a petrographic microscope—An underused aide for geochronologic studies","docAbstract":"
The refractory nature of zircon to temperature and pressure allows even a single zircon grain to preserve a rich history of magmatic, metamorphic, and hydrothermal processes. Isotopic dating of micro-domains exposed in cross-sections of zircon grains allows us to interrogate this history. Unfortunately, our ability to select the zircon grains in a heavy mineral concentrate that records the most geochronologic information is limited by our inability to predict internal zonation from observations of whole grains. Here we document the use of a petrographic microscope to observe and image the photoluminescence (PL) response of whole zircon grains excited under ultraviolet (UV) light, and the utility of this PL response in selecting grains for geochronology. While zircon fluorescence has long been known, there is limited documentation of its utility for and application to geochronologic studies. Our observations of zircon from an un-metamorphosed igneous rock, two meta-igneous rocks, and a placer deposit show that variations in the PL color are readily observable in real-time, both among grains in a population of zircons and within single grains. Analyses of cross-sections of the same grains demonstrate that the changes in PL correlate with zoning in backscattered electron (BSE) and cathodoluminescence (CL) images as well as with changes in U + Th concentration and spectroscopic proxies for radiation damage. In other words, the whole grain PL provides a low-resolution preview of the U + Th zoning expected in a cross-sectioned grain. We demonstrate the usefulness of this “preview” in identifying and selecting the subset of zircon grains in a heavy mineral separate that has metamorphic rims of sufficient width to date by secondary ionization mass spectrometry (SIMS). The data are also used to place preliminary constraints on the age and U + Th concentrations at which a yellow PL response is observed in natural samples. The PL response of zircon is well-known among spectroscopists, and these simple applications demonstrate several ways in which the response might be more effectively used by geochronologists.
","language":"English","publisher":"MDPI","doi":"10.3390/min10100876","usgsCitation":"McAleer, R.J., Jubb, A., Hackley, P.C., Walsh, G.J., Merschat, A.J., Regan, S., Burton, W.C., and Vazquez, J.A., 2020, Photoluminescence imaging of whole zircon grains on a petrographic microscope—An underused aide for geochronologic studies: Minerals, v. 10, no. 10, 876, 17 p., https://doi.org/10.3390/min10100876.","productDescription":"876, 17 p.","ipdsId":"IP-106308","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":455170,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10100876","text":"Publisher Index Page"},{"id":436771,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90HZLMS","text":"USGS data release","linkHelpText":"Photoluminescence Imaging of Whole Zircon Grains on a Petrographic Microscope - An Underused Aide for Geochronologic Studies"},{"id":378983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":800413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":800416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":800417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regan, Sean P.","contributorId":219815,"corporation":false,"usgs":false,"family":"Regan","given":"Sean P.","affiliations":[{"id":13599,"text":"University of Alaska - Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":800419,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":800420,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70214680,"text":"70214680 - 2020 - Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry","interactions":[],"lastModifiedDate":"2020-11-13T16:02:25.940545","indexId":"70214680","displayToPublicDate":"2020-10-01T07:14:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry","docAbstract":"

Aim

The United States Atlantic Outer Continental Shelf (OCS) has considerable offshore wind energy potential. Capturing that resource is part of a broader effort to reduce CO2 emissions. While few turbines have been constructed in U.S. waters, over a dozen currently planned offshore wind projects have the potential to displace marine birds, potentially leading to effective habitat loss. We focused on three diving birds identified in Europe to be vulnerable to displacement. Our research aimed to determine their potential exposure to areas designated or proposed for offshore wind development along the Atlantic OCS.

Methods

Satellite tracking technology was used to determine the spatial and temporal use and movement patterns of Surf Scoters (Melanitta perspicillata), Red‐throated Loons (Gavia stellata) and Northern Gannets (Morus bassanus), and calculate their exposure to each offshore wind area. We tagged 236 adults in 2012–2015 on the Atlantic OCS from New Jersey to North Carolina; an additional 147 birds tagged in previous tracking studies were integrated into our analyses. Tracking data were analysed in two‐week intervals using dynamic Brownian bridge movement models to develop composite spatial utilization distributions. For each species, these distributions were then used to calculate the spatio‐temporal exposure to each offshore wind area.

Results

Surf Scoters and Red‐throated Loons were exposed to offshore wind areas almost exclusively during migration because these species were distributed among coastal and inshore waters during winter months. In contrast, Northern Gannets ranged over a much larger area, reaching farther offshore and south in winter, thus exhibited the greatest exposure to extant offshore wind areas.

Conclusions

Results of this study provide better understanding of how diving birds use current and potential future offshore wind areas on the Atlantic OCS, and can inform permitting, risk assessment and pre‐ and post‐construction impact assessments of offshore energy infrastructure.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13168","usgsCitation":"Stenhouse, I.J., Berlin, A., Gilbert, A.T., Goodale, M., Gray, C.O., Montevecchi, W.A., Savoy, L., and Spiegel, C.S., 2020, Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry: Diversity and Distributions, v. 26, no. 12, p. 1703-1714, https://doi.org/10.1111/ddi.13168.","productDescription":"12 p.","startPage":"1703","endPage":"1714","ipdsId":"IP-115177","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13168","text":"Publisher Index Page"},{"id":378982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Outer Continental Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.84912109375,\n 34.90395296559004\n ],\n [\n -78.46435546874999,\n 33.815666308702774\n ],\n [\n -78.02490234374999,\n 33.43144133557529\n ],\n [\n -77.40966796874999,\n 32.99023555965106\n ],\n [\n -76.28906249999999,\n 32.76880048488168\n ],\n [\n -74.81689453125,\n 33.24787594792436\n ],\n [\n -73.41064453125001,\n 33.68778175843934\n ],\n [\n -71.96044921875001,\n 35.60371874069731\n ],\n [\n -70.97167968749999,\n 38.30718056188316\n ],\n [\n -70.048828125,\n 41.11246878918088\n ],\n [\n -71.03759765625,\n 41.60722821271717\n ],\n [\n -72.48779296874999,\n 41.52502957323799\n ],\n [\n -73.23486328124999,\n 40.896905775860006\n ],\n [\n -76.04736328125,\n 38.58252615935333\n ],\n [\n -76.552734375,\n 37.56199695314352\n ],\n [\n -76.83837890624999,\n 36.42128244364947\n ],\n [\n -77.84912109375,\n 34.90395296559004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stenhouse, Iain J","contributorId":242039,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Iain","email":"","middleInitial":"J","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlin, Alicia 0000-0002-5275-3077 aberlin@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":168416,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","email":"aberlin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Andrew T","contributorId":242040,"corporation":false,"usgs":false,"family":"Gilbert","given":"Andrew","email":"","middleInitial":"T","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodale, M Wing","contributorId":242041,"corporation":false,"usgs":false,"family":"Goodale","given":"M Wing","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Carrie O","contributorId":242042,"corporation":false,"usgs":false,"family":"Gray","given":"Carrie","email":"","middleInitial":"O","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montevecchi, William A","contributorId":242043,"corporation":false,"usgs":false,"family":"Montevecchi","given":"William","email":"","middleInitial":"A","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":800426,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Savoy, Lucas","contributorId":171896,"corporation":false,"usgs":false,"family":"Savoy","given":"Lucas","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":800427,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spiegel, Caleb S.","contributorId":216938,"corporation":false,"usgs":false,"family":"Spiegel","given":"Caleb","email":"","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800428,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70228614,"text":"70228614 - 2020 - Coordinated river infrastructure decisions improve net social-ecological benefits","interactions":[],"lastModifiedDate":"2022-02-14T13:20:57.928338","indexId":"70228614","displayToPublicDate":"2020-10-01T07:13:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Coordinated river infrastructure decisions improve net social-ecological benefits","docAbstract":"

We explore the social, ecological, economic, and technical dimensions of sustainable river infrastructure development and the potential benefits of coordinating decisions such as dam removal and stream crossing improvement. Dam removal is common practice for restoring river habitat connectivity and ecosystem health. However, stream crossings such as culverts are often 15 times more abundant than dams and may pose similar ecological impacts. Using multi-objective optimization for a model system of 6100 dams and culverts in Maine, USA, we demonstrate substantial benefit-cost improvements provided by coordinating habitat connectivity decisions. Benefit-cost efficiency improves by two orders of magnitude when coordinating more decisions across wider areas, but this approach may cause inequitable resource distribution. Culvert upgrades improve roadway safety and habitat connectivity, creating cost-effective opportunities for coordinating and cost-sharing projects between conservationists and safety managers. Benefit-cost trends indicate significant overlaps in habitat and safety goals, encouraging flexible stakeholder collaborations and cost-sharing strategies.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/abad58","usgsCitation":"Roy, S., Daignault, A., Zydlewski, J.D., Truhlar, A., Smith, S., Jain, S., and Hart, D., 2020, Coordinated river infrastructure decisions improve net social-ecological benefits: Environmental Research Letters, v. 15, 104054, 11 p., https://doi.org/10.1088/1748-9326/abad58.","productDescription":"104054, 11 p.","ipdsId":"IP-117688","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":455176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/abad58","text":"Publisher Index Page"},{"id":395874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"15","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Roy, Samuel G.","contributorId":276396,"corporation":false,"usgs":false,"family":"Roy","given":"Samuel G.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daignault, Adam","contributorId":276397,"corporation":false,"usgs":false,"family":"Daignault","given":"Adam","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 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Maine","active":true,"usgs":false}],"preferred":false,"id":834810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jain, Shaleen","contributorId":276402,"corporation":false,"usgs":false,"family":"Jain","given":"Shaleen","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, David","contributorId":276404,"corporation":false,"usgs":false,"family":"Hart","given":"David","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834812,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70260213,"text":"70260213 - 2020 - Two ensemble approaches for forecasting sulfur dioxide concentrations from Kīlauea volcano","interactions":[],"lastModifiedDate":"2024-10-30T11:58:35.950719","indexId":"70260213","displayToPublicDate":"2020-10-01T06:55:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3735,"text":"Weather and Forecasting","active":true,"publicationSubtype":{"id":10}},"title":"Two ensemble approaches for forecasting sulfur dioxide concentrations from Kīlauea volcano","docAbstract":"

Kīlauea volcano, located on the island of Hawaii, is one of the most active volcanoes in the world. It was in a state of nearly continuous eruption from 1983 to 2018 with copious emissions of sulfur dioxide (SO2) that affected public health, agriculture, and infrastructure over large portions of the island. Since 2010, the University of Hawaiʻi at Mānoa provides publicly available vog forecasts that began in 2010 to aid in the mitigation of volcanic smog (or “vog”) as a hazard. In September 2017, the forecast system began to produce operational ensemble forecasts. The months that preceded Kīlauea’s historic lower east rift zone eruption of 2018 provide an opportunity to evaluate the newly implemented air quality ensemble prediction system and compare it another approach to the generation of ensemble members. One of the two approaches generates perturbations in the wind field while the other perturbs the sulfur dioxide (SO2) emission rate from the volcano. This comparison has implications for the limits of forecast predictability under the particularly dynamic conditions at Kīlauea volcano. We show that for ensemble forecasts of SO2 generated under these conditions, the uncertainty associated with the SO2 emission rate approaches that of the uncertainty in the wind field. However, the inclusion of a fluctuating SO2 emission rate has the potential to improve the prediction of the changes in air quality downwind of the volcano with suitable postprocessing.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/WAF-D-19-0189.1","usgsCitation":"Holland, L., Businger, S., Elias, T., and Cherubini, T., 2020, Two ensemble approaches for forecasting sulfur dioxide concentrations from Kīlauea volcano: Weather and Forecasting, v. 35, no. 5, p. 1923-1937, https://doi.org/10.1175/WAF-D-19-0189.1.","productDescription":"15 p.","startPage":"1923","endPage":"1937","ipdsId":"IP-112118","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":486887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/waf-d-19-0189.1","text":"Publisher Index Page"},{"id":463414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.5280575771671,\n 19.636187244535606\n ],\n [\n -155.5280575771671,\n 19.167002726002252\n ],\n [\n -154.9496591158342,\n 19.167002726002252\n ],\n [\n -154.9496591158342,\n 19.636187244535606\n ],\n [\n -155.5280575771671,\n 19.636187244535606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holland, Lacey","contributorId":147879,"corporation":false,"usgs":false,"family":"Holland","given":"Lacey","email":"","affiliations":[{"id":16953,"text":"University of Utah, Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":917425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Businger, Steven","contributorId":345757,"corporation":false,"usgs":false,"family":"Businger","given":"Steven","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":917426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherubini, Tiziana","contributorId":199762,"corporation":false,"usgs":false,"family":"Cherubini","given":"Tiziana","email":"","affiliations":[],"preferred":false,"id":917428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214614,"text":"ofr20201103 - 2020 - Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","interactions":[{"subject":{"id":70195366,"text":"ofr20181008 - 2018 - Annotated bibliography of scientific research on greater sage-grouse published since January 2015","indexId":"ofr20181008","publicationYear":"2018","noYear":false,"title":"Annotated bibliography of scientific research on greater sage-grouse published since January 2015"},"predicate":"SUPERSEDED_BY","object":{"id":70214614,"text":"ofr20201103 - 2020 - Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","indexId":"ofr20201103","publicationYear":"2020","noYear":false,"title":"Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019"},"id":1}],"lastModifiedDate":"2020-10-01T17:06:53.237674","indexId":"ofr20201103","displayToPublicDate":"2020-09-30T17:33:34","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1103","displayTitle":"Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published from 2015 to 2019","title":"Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","docAbstract":"

The greater sage-grouse (Centrocercus urophasianus; hereafter GRSG) has been a focus of scientific investigation and management action for the past two decades. The 2015 U.S. Fish and Wildlife Service listing determination of “not warranted” was in part due to a large-scale collaborative effort to develop strategies to conserve GRSG populations and their habitat and to reduce threats to both. New scientific information augments existing knowledge and can help inform updates or modifications to existing plans for managing GRSG and sagebrush ecosystems. However, the sheer number of scientific publications can be a challenge for managers tasked with evaluating and determining the need for potential updates to existing planning documents. To assist in this process, the U.S. Geological Survey (USGS) has reviewed and summarized the scientific literature published since January 1, 2015. The first GRSG literature summary was published early in 2018. Here we provide an update to that document by adding summaries of articles published between January 6, 2018 and October 2, 2019.

To identify articles and reports published about GRSG, we first conducted a structured search of three reference databases (Web of Science, Scopus, and Google Scholar) using the search term “greater sage-grouse.” We refined the initial list of products by (1) removing duplicates, (2) excluding products that were not published as research or scientific review articles in peer-reviewed journals or as formal technical reports, and (3) retaining only those products for which GRSG or their habitat was a research focus.

We summarized the contents of each product by using a consistent structure (background, objectives, methods, location, findings, and implications) and assessed the content of each product relevant to a list of 31 management topics. These topics include GRSG biology and habitat characteristics along with potential management actions, land uses, and environmental factors related to GRSG management and conservation. We also noted which articles/reports created new geospatial data.

Our original search, conducted on January 7, 2018, and the application of our criteria, resulted in the inclusion of 169 published products (2 of these products were published corrections to journal articles). This update adds summaries of 69 products published between then and October 2, 2019. The management topics most commonly addressed were GRSG behavior or demographics and GRSG habitat selection or habitat characteristics at broad or site scales. Few products addressed captive breeding, recreation, wild horses and burros, and range management structures (including fences). The management topics with the largest increase in representation between the 2018 GRSG literature summary and this update were GRSG survival and GRSG population estimates or targets, which were each addressed in 16 percent of products in the original literature summary document, but were addressed in 30 and 33 percent, respectively, of newly summarized products. Topics with the largest declines in representation were conifer expansion, - 17 to 10 percent, and new geospatial data, -31 to 21 percent. We include in this annotated bibliography the full citation, Digital Object Identifier (DOI), product summary, and management topics addressed by each product. The online version of this bibliography (https://apps.usgs.gov/gsgbib/index.php) is searchable by topic and location and includes links to journal landing pages for each original publication.

A substantial body of literature has been compiled on research explicitly related to the conservation, management, monitoring, and assessment of GRSG. These studies may inform planning and management actions that seek to balance conservation, economic, and social objectives and manage diverse resource uses and values across the western United States.

The review process for this product included requesting input on each summary from one or more authors of the original peer-reviewed article or report and a formal review of the entire document by three independent reviewers for the original document and by two independent reviewers for the updated document and, subsequently, the USGS Bureau Approving Official. This process is consistent with USGS Fundamental Science Practices.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201103","usgsCitation":"Carter, S.K., Arkle, R.S., Bencin, H.L., Harms, B.R., Manier, D.J., Johnston, A.N., Phillips, S.L., Hanser, S.E., and Bowen, Z.H., 2020, Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019: U.S. Geological Survey Open-File Report 2020–1103, 264 p., https://doi.org/10.3133/ofr20201103.","productDescription":"v, 264 p.","onlineOnly":"Y","ipdsId":"IP-117994","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":378931,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://apps.usgs.gov/gsgbib/index.php","text":"Interactive, searchable version —","description":"Related Work - Interactive, searchable version","linkHelpText":"Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published since January 2015"},{"id":378930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1103/ofr20201103.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1103"},{"id":378929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1103/coverthb.jpg"},{"id":378932,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181017","text":"Open-File Report 2018-1017 —","description":"Related Work - OFR 2018-1017","linkHelpText":"Greater Sage-Grouse Science (2015–17)—Synthesis and Potential Management Implications"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Kansas, Montana, Nebraska, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Texas, Utah, Washington, Wyoming","otherGeospatial":"Greater sage-grouse Management Zones","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.71679687499999,\n 32.54681317351514\n ],\n [\n -101.337890625,\n 34.95799531086792\n ],\n [\n -101.07421875,\n 52.482780222078226\n ],\n [\n -126.12304687500001,\n 50.233151832472245\n ],\n [\n -124.71679687499999,\n 32.54681317351514\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-09-30","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":3501,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bencin, Heidi L. 0000-0002-0879-5392","orcid":"https://orcid.org/0000-0002-0879-5392","contributorId":222412,"corporation":false,"usgs":true,"family":"Bencin","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Benjamin R. 0000-0001-7570-6962","orcid":"https://orcid.org/0000-0001-7570-6962","contributorId":222413,"corporation":false,"usgs":true,"family":"Harms","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":4589,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":800235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Aaron N. 0000-0003-4659-0504 ajohnston@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":241957,"corporation":false,"usgs":false,"family":"Johnston","given":"Aaron N.","email":"ajohnston@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":800236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Susan L. 0000-0002-5891-8485 sue_phillips@usgs.gov","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":717,"corporation":false,"usgs":true,"family":"Phillips","given":"Susan","email":"sue_phillips@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":3020,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven E.","email":"shanser@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800239,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}