Although increased frequency of extreme‐weather events is one of the most secure predictions associated with contemporary climate change, effects of such events on distribution and abundance of climate‐sensitive species remain poorly understood. Montane ecosystems may be especially sensitive to extreme weather because of complex abiotic and biotic interactions that propagate from climate‐driven reductions in snowpack. Snowpack not only protects subnivean biotas from extreme cold, but also influences forage availability through timing of melt‐off and water availability. We related relative abundances of an alpine mammal, the American pika (Ochotona princeps), to measures of weather and snowpack dynamics over an 8‐yr period that included before and after a year of record‐low snowpack in Washington, USA. We sought to (1) quantify any change in pika abundance associated with the snowpack anomaly and (2) identify aspects of weather and snowpack that influenced abundance of pikas. Pikas showed a 1‐yr lag response to the snowpack anomaly and exhibited marked declines in abundance at elevations below 1,400 m simultaneous with increased abundances at higher elevations. Atmospheric moisture, indexed by vapor pressure deficit (VPD), was especially important, evidenced by strong support for the top‐ranked model that included the interaction of VPD with snowpack duration. Notably, our novel application of VPD from gridded climate data for analyses of animal abundances shows strong potential for improving species distribution models because VPD represents an important aspect of weather that influences the physiology and habitat of biota. Pikas were apparently affected by cold stress without snowpack at mid elevations, whereas changes to forage associated with snowpack and VPD were influential at high and low elevations. Our results reveal context dependency in pika responses to weather and illustrate how snow drought can lead to rapid change in the abundance of subnivean animals.
The San Mateo Creek Basin in New Mexico, USA is located within the Grants Mineral Belt-an area with numerous uranium (U) ore deposits, mines, and milling operations. Six monitoring wells set in an alluvial aquifer near the Homestake Mining Co. Superfund site in the lower San Mateo Creek Basin were logged with a suite of borehole geophysical tools including spectral gamma-ray (SGR), vertically profiled with passive samplers for U and selenium (Se) concentrations, and purged sampled for same constituents. The integrated approach allowed for an assessment on the role of heterogeneity (both physical and chemical) in determining U concentrations in groundwater. Uranium, as measured with SGR logging, is ubiquitous in the alluvial aquifer and the underlying Chinle Group. Aqueous U concentrations appear to be inversely related to thorium (Th) concentrations, as measured by the SGR log, indicating the possibility that U is bound in or adsorbed to clays in the aquifer. The stratigraphy of the alluvium likely plays a role in elevated concentrations of aqueous U. Interbedded clay and sand layers allow for the mobilization of U in oxic sandy layers from U adsorbed in sediments in reduced clay layers. The stratigraphy also plays a role in the degree of mixing of groundwater in the formation and well. Mixing can obscure the ability to identify U sources. Mixing is exacerbated by the relatively long screens (> 20 ft long or > 6.1 m) of the monitoring wells.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-019-8049-y","usgsCitation":"Harte, P.T., Blake, J.M., Thomas, J.V., and Becher, K., 2019, Identifying natural and anthropogenic variability of uranium at the well scale, Homestake Superfund site, near Milan, New Mexico, USA: Environmental Earth Sciences, v. 78, p. 1-19, https://doi.org/10.1007/s12665-019-8049-y.","productDescription":"Article 95; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-080068","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":360932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.8917,\n 35.2083\n ],\n [\n -107.8417,\n 35.2083\n ],\n [\n -107.8417,\n 35.275\n ],\n [\n -107.8917,\n 35.275\n ],\n [\n -107.8917,\n 35.2083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Johanna M. 0000-0003-4667-0096 jmtblake@usgs.gov","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":169698,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","email":"jmtblake@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becher, Kent 0000-0002-3947-0793 kdbecher@usgs.gov","orcid":"https://orcid.org/0000-0002-3947-0793","contributorId":3863,"corporation":false,"usgs":true,"family":"Becher","given":"Kent","email":"kdbecher@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200543,"text":"fs20183074 - 2019 - Assessment of undiscovered oil and gas resources in the South Florida basin, 2016","interactions":[],"lastModifiedDate":"2019-02-01T15:50:12","indexId":"fs20183074","displayToPublicDate":"2019-02-01T15:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3074","title":"Assessment of undiscovered oil and gas resources in the South Florida basin, 2016","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 49 million barrels of oil and 18 billion cubic feet of gas in the onshore and State waters part of the South Florida basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183074","usgsCitation":"Roberts-Ashby, T.L., Hackley, P.C., Lohr, C.D., Schenk, C.J., Mercier, T.J., Whidden, K.J., Le, P.A., Tennyson, M.E., Gaswirth, S.B., Woodall, C.A., Brownfield, M.E., Leathers-Miller, H.M., Marra, K.R., and Finn, T.M., 2019, Assessment of undiscovered oil and gas resources in the South Florida basin, 2016: U.S. Geological Survey Fact Sheet 2018–3074, 4 p., https://doi.org/10.3133/fs20183074.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-092946","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360692,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3074/fs20183074.pdf","text":" Report","size":"3.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3074"},{"id":360691,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3074/coverthb.jpg"},{"id":360693,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M4VGL9","text":"USGS Data Release","linkHelpText":"USGS Gulf Coast Petroleum Systems, and National and Global Oil and Gas Assessment Projects - USGS Province 50 Assessment Unit Boundaries and Assessment Input Forms"}],"country":"United States","otherGeospatial":"South Florida Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.12,\n 24.38\n ],\n [\n -79.95,\n 24.38\n ],\n [\n -79.95,\n 28.2\n ],\n [\n -83.12,\n 28.2\n ],\n [\n -83.12,\n 24.38\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The Ellenburger–San Saba aquifer discharges spring flows into the overlying Hamilton Creek bed in Burnet County, central Texas. The aquifer is susceptible to contamination from surface‐water reservoirs because of the presence of dissolution cavities that are hydraulically connected to the reservoirs in some locations. There is concern that preferential groundwater seepage from reservoirs into the aquifer in these locations might ultimately degrade the quality of the springwater that enters Hamilton Creek. To investigate preferential groundwater seepage patterns and hydraulic connectivity between surface‐water reservoirs and the Ellenburger–San Saba aquifer, geophysical reconnaissance surveys were completed between July 2017 and January 2018 to map dissolution cavities and locate preferential groundwater seepage within a specific region of the aquifer. Two‐dimensional electric resistivity tomography and self‐potential profiling were utilized, and a simplified, three‐dimensional finite‐element model of the field site was constructed to provide an interpretive aid. The self‐potential data indicated the occurrence of preferential groundwater seepage through a porous seepage conduit that was imaged by the electric resistivity tomography data but did not indicate the occurrence of groundwater seepage through two fluid‐filled dissolution cavities that were imaged by electric resistivity tomography data. Collectively, the surveying and modelling results demonstrate the efficacy of geoelectric methods for mapping the locations of dissolution cavities and preferential groundwater seepage in the electrically resistive karst terrane of the Ellenburger–San Saba aquifer.
","language":"English","publisher":"Wiley","doi":"10.1002/nsg.12023","usgsCitation":"Ikard, S., and Pease, E., 2019, Preferential groundwater seepage in karst terrane inferred from geoelectric measurements: Near Surface Geophysics, v. 17, no. 1, p. 43-53, https://doi.org/10.1002/nsg.12023.","productDescription":"11 p.","startPage":"43","endPage":"53","ipdsId":"IP-091309","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":467939,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nsg.12023","text":"Publisher Index Page"},{"id":437585,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0FSC","text":"USGS data release","linkHelpText":"650-m Profiles of Self-Potential, Contact Resistance, and Electric Resistance Tomography Measurements Adjacent to Hamilton Creek, Burnet County, Texas, July 2017 - January 2018"},{"id":360931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":212256,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pease, Emily 0000-0001-8295-1632","orcid":"https://orcid.org/0000-0001-8295-1632","contributorId":210588,"corporation":false,"usgs":true,"family":"Pease","given":"Emily","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202016,"text":"70202016 - 2019 - Valuation of the flood attenuation ecosystem service in Difficult Run, VA, USA","interactions":[],"lastModifiedDate":"2019-02-05T15:03:04","indexId":"70202016","displayToPublicDate":"2019-02-01T15:02:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Valuation of the flood attenuation ecosystem service in Difficult Run, VA, USA","docAbstract":"Floodplains and riparian wetlands provide several ecosystem services that directly benefit people. We present a methodology for valuing the flood attenuation ecosystem service in Difficult Run, a suburban watershed with extensive natural floodplains in northern Virginia. High-resolution lidar-derived data were combined with GIS modeling techniques to produce estimates of flood inundation. We combined the modeled estimates with parcel-level property and primary economic data using a baseline and a counterfactual scenario to estimate the magnitude of flood attenuation and the associated value of the ecosystem service. Our framework brings new models and data to look at floodplains and an alternative land surface scenario in a way that has not previously been done. Annualized avoided property losses totaled $42,184 in the baseline scenario and $115,596 in the counterfactual scenario for the combined 200-, 100-, 50-, 20-, 10-, and 5-year flood events. We estimate the total annualized value of the flood attenuation ecosystem service in Difficult Run is $73,412, which is $77 per hectare of floodplain area and is consistent with similar valuation studies of floodplains. The framework presented here is not specific to the study area and could be deployed at larger spatial areas in other locations. Our methods may better inform land use decision making on the impacts of development in and surrounding floodplain areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.10.023","usgsCitation":"Lawrence, C.B., Pindilli, E., and Hogan, D.M., 2019, Valuation of the flood attenuation ecosystem service in Difficult Run, VA, USA: Journal of Environmental Management, v. 231, p. 1056-1064, https://doi.org/10.1016/j.jenvman.2018.10.023.","productDescription":"9 p.","startPage":"1056","endPage":"1064","ipdsId":"IP-093393","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":467940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2018.10.023","text":"Publisher Index Page"},{"id":361037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.35,\n 38.85\n ],\n [\n -77.1833,\n 38.85\n ],\n [\n -77.1833,\n 39.0167\n ],\n [\n -77.35,\n 39.0167\n ],\n [\n -77.35,\n 38.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"231","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Collin B. 0000-0001-9224-5774","orcid":"https://orcid.org/0000-0001-9224-5774","contributorId":212089,"corporation":false,"usgs":true,"family":"Lawrence","given":"Collin","email":"","middleInitial":"B.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":756699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":756700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202015,"text":"70202015 - 2019 - Pathology and case definition of Severe Perkinsea Infections of frogs","interactions":[],"lastModifiedDate":"2023-06-23T14:31:53.581214","indexId":"70202015","displayToPublicDate":"2019-02-01T14:57:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Pathology and case definition of Severe Perkinsea Infections of frogs","docAbstract":"Severe Perkinsea infection (SPI) is an emerging disease of frogs responsible for mass mortalities of tadpoles across the United States. It is caused by protozoa belonging to the phylum Perkinsozoa that form a distinct group referred to as the Pathogenic Perkinsea Clade of frogs. In this work, we provide detailed description of gross and histologic lesions from 178 naturally infected tadpoles, including 10 species from 22 mortality events and 6 amphibian health monitoring studies from diverse geographic areas. On external examination, we observed abdominal distension (10, 5.6%), cutaneous erythema and petechia (3, 1.7%), subcutaneous edema (3, 1.7%), and areas of white skin discoloration (3, 1.7%). On macroscopic examination of internal organs, we found hepatomegaly (68, 38.2%), splenomegaly (51, 28.7%), nephromegaly (47, 26.4%), ascites (15, 8.4%), segmental irregular thickening and white discoloration of the intestine (8, 4.5%), pancreatomegaly (4, 2.2%), and pancreatic petechia (1, 0.6%). Histologically, over 60% of the liver (148/165, 89.7%), kidney (113/147, 76.9%), spleen (96/97, 99%), and pancreas (46/68, 67.6%) were invaded by myriad intracellular and extracellular Perkinsea hypnospore-like and trophozoite-like organisms. Numerous other tissues were affected to a lesser extent. Mild histiocytic inflammation with fewer lymphocytes or eosinophils was commonly observed in areas of infection that were not obscured by lympho-granulocytic hematopoietic tissue. In light of these observations, we suggest a logical pathogenesis sequence. Finally, we propose a “case definition” for SPI to promote standardized communication of results and prevent misdiagnosis with epidemiological and pathologically overlapping diseases such as ranavirosis.
","language":"English","publisher":"Sage Publishing","doi":"10.1177/0300985818798132","usgsCitation":"Isidoro Ayza, M., Grear, D.A., and Chambouvet, A., 2019, Pathology and case definition of Severe Perkinsea Infections of frogs: Veterinary Pathology, v. 56, no. 1, p. 133-142, https://doi.org/10.1177/0300985818798132.","productDescription":"10 p.","startPage":"133","endPage":"142","ipdsId":"IP-098448","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467941,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0300985818798132","text":"Publisher Index Page"},{"id":361036,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418361,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93VJE52","text":"USGS data release","description":"USGS data release","linkHelpText":"Pathology and bacteriology of 178 tadpoles with histologically confirmed Severe Perkinsea Infections: Data"}],"volume":"56","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":756696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":756697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambouvet, Aurelie","contributorId":212830,"corporation":false,"usgs":false,"family":"Chambouvet","given":"Aurelie","email":"","affiliations":[],"preferred":false,"id":756698,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203462,"text":"70203462 - 2019 - Phenology and species diversity in a Lake Huron ichthyoplankton community: Ecological implications of invasive species dominance","interactions":[],"lastModifiedDate":"2019-05-16T08:04:23","indexId":"70203462","displayToPublicDate":"2019-02-01T14:33:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Phenology and species diversity in a Lake Huron ichthyoplankton community: Ecological implications of invasive species dominance","docAbstract":"Ichthyoplankton communities are dynamic and vary spatiotemporally based on factors such as wind, water currents, and phenology. Nonetheless, ichthyoplankton are an indicator of spawning success in fish populations and examining their community diversity and composition can serve to provide information on ecosystem integrity. Although some ichthyoplankton species may be transient, understanding their distribution in space and time provides information on species composition, abundance, and habitat use during critical early life stages. We sampled the spring-summer ichthyoplankton community during 2008 and 2009 in northern Lake Huron to determine species succession, abundance, and species diversity along physical and environmental gradients. Seasonal succession of species was similar during both years, indicating well-defined patterns in spawning by local populations. Invasive alewife, rainbow smelt, and round goby were the dominant species during both years, with native stickleback species also abundant. Shannon Entropy (H’) increased with increasing water temperature until late summer when H’ declined. H’ decreased with increasing bottom depth and distance to tributary mouth indicating the important ecological role of these habitat features during early life stages. Although ichthyoplankton diversity was comparable to or higher than that reported for other areas of the Great Lakes, the prominence of invasive species in our study is reflective of the degraded state of the Lake Huron fish community, despite large reductions in invasive planktivorous fish since 2004. Continued monitoring of ichthyoplankton communities will be important for measuring the impacts of species invasions or other ecosystem stressors on fish community structure in the Great Lakes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.11.002","usgsCitation":"O’Brien, T.P., Ireland, S., Roseman, E.F., Briggs, A.S., and Taylor, W.W., 2019, Phenology and species diversity in a Lake Huron ichthyoplankton community: Ecological implications of invasive species dominance: Journal of Great Lakes Research, v. 45, no. 1, p. 176-186, https://doi.org/10.1016/j.jglr.2018.11.002.","productDescription":"11 p.","startPage":"176","endPage":"186","ipdsId":"IP-097949","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":460505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2018.11.002","text":"Publisher Index Page"},{"id":363913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.803466796875,\n 42.94033923363181\n ],\n [\n -79.639892578125,\n 42.94033923363181\n ],\n [\n -79.639892578125,\n 46.49839225859763\n ],\n [\n -84.803466796875,\n 46.49839225859763\n ],\n [\n -84.803466796875,\n 42.94033923363181\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":762772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ireland, Stacey 0000-0001-8568-8980 sireland@usgs.gov","orcid":"https://orcid.org/0000-0001-8568-8980","contributorId":215595,"corporation":false,"usgs":true,"family":"Ireland","given":"Stacey","email":"sireland@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":762773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":762774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Andrew S 0000-0002-0268-9310","orcid":"https://orcid.org/0000-0002-0268-9310","contributorId":215596,"corporation":false,"usgs":false,"family":"Briggs","given":"Andrew","email":"","middleInitial":"S","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":762775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":762776,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227913,"text":"70227913 - 2019 - The influence of motivation versus experience on recreation satisfaction: How appreciative- versus achievement-oriented recreation experience preferences relate to hunter satisfaction","interactions":[],"lastModifiedDate":"2022-02-02T20:31:34.948533","indexId":"70227913","displayToPublicDate":"2019-02-01T14:25:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2369,"text":"Journal of Leisure Research","active":true,"publicationSubtype":{"id":10}},"title":"The influence of motivation versus experience on recreation satisfaction: How appreciative- versus achievement-oriented recreation experience preferences relate to hunter satisfaction","docAbstract":"We present methods derived from customer satisfaction research that clarify factors influential to the satisfaction of recreation participants. We conducted mail surveys of Minnesota wild turkey hunters to explore differences between the explicit (i.e., stated) and implicit (i.e., derived from the relationship to satisfaction) importance of recreation experience preferences. Revised Importance Performance Analysis, Importance Grid Analysis, and Penalty Reward Contrast Analysis revealed differences between the explicit and implicit importance of recreation experiences, and clarified how activity success may influence the relationship between experiences and satisfaction. We found some support for our hypothesis that experiences related to achievement (of goals for an activity) may more strongly relate to satisfaction than experiences related to appreciation (of nature) or affiliation (with family and friends). Our results emphasized the importance of activity-specific experiences over activity-general experiences for both successful and unsuccessful hunters, and exposed a “motivation matching” process related to harvest success.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00222216.2018.1557502","usgsCitation":"Schroeder, S.A., Cornicelli, L., Fulton, D.C., and Merchant, S.S., 2019, The influence of motivation versus experience on recreation satisfaction: How appreciative- versus achievement-oriented recreation experience preferences relate to hunter satisfaction: Journal of Leisure Research, v. 50, no. 2, p. 107-131, https://doi.org/10.1080/00222216.2018.1557502.","productDescription":"25 p.","startPage":"107","endPage":"131","ipdsId":"IP-094603","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":273094,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":832567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":273095,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","email":"","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":832568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merchant, Steven S.","contributorId":273096,"corporation":false,"usgs":false,"family":"Merchant","given":"Steven","email":"","middleInitial":"S.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":832569,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202123,"text":"70202123 - 2019 - A vision for documenting and sharing knowledge in conservation","interactions":[],"lastModifiedDate":"2019-02-11T14:02:53","indexId":"70202123","displayToPublicDate":"2019-02-01T14:02:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"A vision for documenting and sharing knowledge in conservation","docAbstract":"As editors, we mark the launch of Conservation Science and Practice, a journal of the Society for Conservation Biology (SCB), with the following remarks framing the purpose and aspirations of the journal. Our aim is to share scholarship on and experiences of the practice of conservation. We define conservation practice as the application of conservation principles or theory across conservation issues, from planning and directly managing nature to influencing public policy and private behaviors—at scales from local communities to international governing bodies. We are striving for Conservation Science and Practice to be a forum for sharing lessons learned from research and practice to reciprocally informing and improving both arenas.
","language":"English","publisher":"Wiley","doi":"10.1002/csp2.1","usgsCitation":"Schwartz, M.W., Belhabib, D., Biggs, D., Cook, C.N., Fitzsimmons, J., Giordano, A.J., Glew, L., Gottlieb, S., Kattan, G., Knight, A.T., Lundquist, C.J., Lynam, A.J., Masuda, Y.J., Mwampamba, T.H., Nuno, A., Plumptre, A.J., Ray, J., Reddy, S.M., and Runge, M.C., 2019, A vision for documenting and sharing knowledge in conservation: Conservation Science and Practice, v. 1, no. 1, p. 1-2, https://doi.org/10.1002/csp2.1.","productDescription":"Article e1; 2 p.","startPage":"1","endPage":"2","ipdsId":"IP-100966","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467942,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.monash.edu/en/publications/18d7f2e9-035d-4b56-b08e-c78c3f1cac2b","text":"External Repository"},{"id":361143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Schwartz, Mark W.","contributorId":145938,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":756970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belhabib, Dyhia","contributorId":213127,"corporation":false,"usgs":false,"family":"Belhabib","given":"Dyhia","email":"","affiliations":[{"id":38706,"text":"Ecotrust Canada","active":true,"usgs":false}],"preferred":false,"id":756971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggs, Duan","contributorId":166728,"corporation":false,"usgs":false,"family":"Biggs","given":"Duan","email":"","affiliations":[],"preferred":false,"id":756972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Carly N.","contributorId":204315,"corporation":false,"usgs":false,"family":"Cook","given":"Carly","email":"","middleInitial":"N.","affiliations":[{"id":36914,"text":"School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia","active":true,"usgs":false}],"preferred":false,"id":756973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimmons, James","contributorId":213128,"corporation":false,"usgs":false,"family":"Fitzsimmons","given":"James","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":756974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giordano, Anthony J.","contributorId":213129,"corporation":false,"usgs":false,"family":"Giordano","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":38707,"text":"SPECIES, Field Conservation Program","active":true,"usgs":false}],"preferred":false,"id":756975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glew, Louise","contributorId":213130,"corporation":false,"usgs":false,"family":"Glew","given":"Louise","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":756976,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gottlieb, Sara","contributorId":213138,"corporation":false,"usgs":false,"family":"Gottlieb","given":"Sara","email":"","affiliations":[],"preferred":false,"id":756986,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kattan, Gustavo","contributorId":111463,"corporation":false,"usgs":true,"family":"Kattan","given":"Gustavo","email":"","affiliations":[],"preferred":false,"id":756987,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Knight, Andrew T.","contributorId":213139,"corporation":false,"usgs":false,"family":"Knight","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":756988,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lundquist, Carolyn J.","contributorId":213140,"corporation":false,"usgs":false,"family":"Lundquist","given":"Carolyn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":756989,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lynam, Antony J.","contributorId":213141,"corporation":false,"usgs":false,"family":"Lynam","given":"Antony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":756990,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Masuda, Yuta J.","contributorId":213142,"corporation":false,"usgs":false,"family":"Masuda","given":"Yuta","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":756991,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mwampamba, Tuyeni H.","contributorId":204279,"corporation":false,"usgs":false,"family":"Mwampamba","given":"Tuyeni","email":"","middleInitial":"H.","affiliations":[{"id":33273,"text":"National Autonomous University of Mexico","active":true,"usgs":false}],"preferred":false,"id":756992,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nuno, Ana","contributorId":213143,"corporation":false,"usgs":false,"family":"Nuno","given":"Ana","email":"","affiliations":[],"preferred":false,"id":756993,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Plumptre, Andrew J.","contributorId":213154,"corporation":false,"usgs":false,"family":"Plumptre","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":756994,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ray, Justina C.","contributorId":69043,"corporation":false,"usgs":true,"family":"Ray","given":"Justina C.","affiliations":[],"preferred":false,"id":756995,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Reddy, Sheila M.","contributorId":213156,"corporation":false,"usgs":false,"family":"Reddy","given":"Sheila","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":756996,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":756997,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70201032,"text":"ofr20181188 - 2019 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report","interactions":[],"lastModifiedDate":"2019-02-01T15:45:16","indexId":"ofr20181188","displayToPublicDate":"2019-02-01T13:20:00","publicationYear":"2019","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":"2018-1188","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report","docAbstract":"The Wyoming Landscape Conservation Initiative (WLCI) was established in 2008 to address the scientific and conservation questions associated with land use changes because of energy development and other factors in southwest Wyoming. Over the past decade, partners from U.S. Geological Survey (USGS), State and Federal land management agencies, universities, and the public have collaborated to implement a long-term (defined here as more than 10 years), science-based program that assesses and enhances the quality and quantity of wildlife habitats in this region while facilitating responsible development. The USGS Science Team completes scientific research and develops tools that inform and support WLCI partner planning, decision making, and on-the-ground management actions. In fiscal year 2017, USGS published 18 products (including peer-reviewed journal articles, USGS series publications, and data releases), prepared an additional 7 products for publication, and presented 14 talks or posters at professional scientific meetings in addition to numerous informal presentations to WLCI partners at meetings and workshops. In this report, we summarize the science themes that describe USGS science for the WLCI and highlight work completed in fiscal year 2017 for each science theme. We also provide information on how USGS science is being used by land managers to better achieve habitat conservation objectives.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181188","usgsCitation":"Zeigenfuss, L.C., Aikens, E., Aldridge, C.L., Anderson, P.J., Assal, T.J., Bowen, Z.H., Chalfoun, A.D., Chong, G.W., Eddy-Miller, C.A., Germaine, S.S., Graves, T., Homer, C.G., Huber, C.C., Johnston, A., Kauffman, M.J., Manier, D.J., McShane, R.R., Miller, K.A., Monroe, A.P., Ortega, A., Walters, A.W., and Wyckoff, T.B., 2019, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report: U.S. Geological Survey Open-File Report 2018–1188, 57 p., https://doi.org/10.3133/ofr20181188.","productDescription":"ix, 57 p.","onlineOnly":"Y","ipdsId":"IP-099017","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":360804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1188/coverthb.jpg"},{"id":360805,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1188/ofr20181188.pdf","text":"Report","size":"3.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1188"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.0749,42.4325],[-106.0747,42.4179],[-106.0745,42.4038],[-106.0747,42.3748],[-106.0756,42.3189],[-106.076,42.3039],[-106.0752,42.2893],[-106.0756,42.2748],[-106.0753,42.2612],[-106.0734,42.1735],[-106.0738,42.1135],[-106.0744,41.9581],[-106.0748,41.9436],[-106.0746,41.9291],[-106.075,41.915],[-106.0741,41.9005],[-106.0739,41.8859],[-106.0743,41.8714],[-106.0747,41.8569],[-106.0745,41.8423],[-106.0743,41.8278],[-106.0735,41.8119],[-106.0745,41.7974],[-106.0747,41.7683],[-106.0745,41.7538],[-106.0728,41.6593],[-106.072,41.6407],[-106.0718,41.6257],[-106.071,41.5676],[-106.0708,41.3951],[-106.0977,41.3955],[-106.1155,41.3953],[-106.3243,41.3936],[-106.3251,41.2851],[-106.3241,41.2252],[-106.3237,41.2162],[-106.3233,41.1785],[-106.3227,41.1036],[-106.3227,41.075],[-106.3223,41.0446],[-106.3215,41.001],[-106.3257,41.0023],[-106.3263,41.0025],[-106.3318,41.0025],[-106.3519,41.0025],[-106.3793,41.0026],[-106.4481,41.0035],[-106.456,41.0035],[-106.4864,41.0033],[-106.5436,41.0038],[-106.5723,41.0038],[-106.582,41.0037],[-106.5911,41.0035],[-106.8639,41.0041],[-107.0021,41.0044],[-107.0259,41.0043],[-107.1355,41.0037],[-107.2299,41.0035],[-107.306,41.0034],[-107.3181,41.0035],[-107.3437,41.0033],[-107.3674,41.0032],[-107.3948,41.003],[-107.4137,41.0029],[-107.4575,41.0027],[-107.4947,41.0026],[-107.5093,41.0026],[-107.5136,41.0026],[-107.5288,41.0026],[-107.6049,41.0028],[-107.6767,41.0028],[-107.7078,41.0028],[-107.7845,41.0028],[-107.8131,41.0028],[-107.8206,41.0028],[-107.8326,41.0028],[-107.8391,41.0028],[-107.8521,41.0029],[-107.8801,41.0029],[-107.888,41.0029],[-107.9154,41.0029],[-107.966,41.0028],[-108.0007,41.0025],[-108.1808,41.001],[-108.2186,41.0007],[-108.263,41.0003],[-108.2923,41.0001],[-108.3118,41],[-108.3745,40.9997],[-108.3781,40.9997],[-108.5699,41.0003],[-108.6321,41.0005],[-108.6516,41.0005],[-108.746,41.0002],[-108.7655,41.0002],[-108.912,41.0001],[-108.9315,41.0001],[-108.9729,41.0002],[-109.049,41],[-109.0811,41.0006],[-109.1026,41.0006],[-109.1183,41.0007],[-109.1962,41.0015],[-109.2187,41.0017],[-109.2195,41.0017],[-109.2352,41.0016],[-109.4423,41],[-109.4685,40.9998],[-109.4708,40.9998],[-109.505,40.9997],[-109.5087,40.9997],[-109.5885,40.9995],[-109.5909,40.9995],[-109.6262,40.9996],[-109.6433,40.9996],[-109.6555,40.9997],[-109.6694,40.9997],[-109.6889,40.9997],[-109.7291,40.9996],[-109.8108,40.9995],[-109.8862,40.9994],[-109.942,40.9994],[-110.0001,40.9992],[-110.0485,40.9988],[-110.0573,40.9988],[-110.1608,40.9979],[-110.195,40.9976],[-110.218,40.9972],[-110.2724,40.9963],[-110.2764,40.9963],[-110.489,40.9969],[-110.4928,40.997],[-110.4937,40.997],[-110.5085,40.997],[-110.5273,40.9971],[-110.5462,40.9971],[-110.5471,40.9971],[-110.5651,40.9971],[-110.5736,40.9972],[-110.5785,40.9972],[-110.5834,40.9972],[-110.5836,40.9972],[-110.6035,40.9972],[-110.6224,40.9973],[-110.6419,40.9973],[-110.7752,40.9977],[-110.8173,40.9977],[-111.0456,40.9978],[-111.0458,41.2426],[-111.0458,41.2514],[-111.0459,41.3209],[-111.046,41.3349],[-111.046,41.3494],[-111.046,41.379],[-111.046,41.3944],[-111.0461,41.4085],[-111.0461,41.423],[-111.0461,41.4511],[-111.0463,41.5387],[-111.0463,41.5782],[-111.0466,41.7326],[-111.0465,41.8057],[-111.0465,41.8334],[-111.0465,41.8625],[-111.0464,41.9366],[-111.0463,42.0005],[-111.0463,42.0014],[-111.0463,42.0102],[-111.0467,42.0992],[-111.0465,42.14],[-111.0463,42.1701],[-111.0465,42.211],[-111.0467,42.2769],[-111.0468,42.2933],[-111.0472,42.426],[-111.0469,42.4387],[-111.0477,42.4469],[-111.0475,42.5136],[-111.0469,42.5137],[-111.0468,42.612],[-111.0465,42.6515],[-111.0459,42.7056],[-111.0455,42.7352],[-111.0446,42.7889],[-111.0446,42.818],[-111.0445,42.8412],[-111.0445,42.847],[-111.0445,42.9263],[-111.0441,43.0182],[-111.0441,43.02],[-111.0443,43.0519],[-111.0444,43.0837],[-111.0445,43.1411],[-111.0445,43.1442],[-111.0445,43.1701],[-111.0445,43.1979],[-111.0439,43.2817],[-111.0436,43.3136],[-110.9716,43.3148],[-110.9276,43.3148],[-110.9285,43.293],[-110.8964,43.2937],[-110.8178,43.2945],[-110.813,43.2357],[-110.5774,43.2353],[-110.5824,43.2939],[-110.3457,43.2938],[-110.3456,43.3252],[-110.3456,43.3807],[-110.1584,43.3798],[-110.1117,43.3797],[-110.0538,43.3797],[-110.0547,43.452],[-110.0545,43.4666],[-109.8172,43.4646],[-109.7775,43.4643],[-109.751,43.4642],[-109.7535,43.3895],[-109.7529,43.3672],[-109.7365,43.3638],[-109.7228,43.3735],[-109.704,43.3751],[-109.693,43.3666],[-109.6935,43.3571],[-109.6914,43.3498],[-109.6943,43.3397],[-109.6934,43.3293],[-109.6895,43.3257],[-109.6837,43.3212],[-109.6811,43.3158],[-109.6746,43.305],[-109.6769,43.2967],[-109.6775,43.2954],[-109.6797,43.2853],[-109.6834,43.2816],[-109.6826,43.2744],[-109.6794,43.2703],[-109.6792,43.2639],[-109.6809,43.2557],[-109.6789,43.2517],[-109.6743,43.2449],[-109.6729,43.2376],[-109.6747,43.2317],[-109.6769,43.2226],[-109.6749,43.2149],[-109.6681,43.194],[-109.6589,43.1768],[-109.6512,43.171],[-109.6391,43.1643],[-109.6333,43.1608],[-109.6288,43.1545],[-109.6239,43.135],[-109.6162,43.1264],[-109.5996,43.1153],[-109.5856,43.1031],[-109.5755,43.1019],[-109.5697,43.0974],[-109.5625,43.0839],[-109.5566,43.0735],[-109.5463,43.0618],[-109.565,43.0556],[-109.5661,43.0493],[-109.5604,43.0461],[-109.5558,43.0385],[-109.5569,43.0275],[-109.558,43.0202],[-109.5528,43.0158],[-109.5365,43.0132],[-109.5214,43.0134],[-109.5126,43.0103],[-109.498,43.0032],[-109.4866,42.9942],[-109.4758,42.9898],[-109.4651,42.9854],[-109.4586,42.9773],[-109.4566,42.9718],[-109.4409,42.967],[-109.4238,42.9572],[-109.4059,42.9485],[-109.4055,42.9482],[-109.3972,42.942],[-109.3977,42.9388],[-109.3846,42.9371],[-109.3734,42.9445],[-109.3588,42.9329],[-109.3561,42.9247],[-109.3473,42.9184],[-109.3381,42.8994],[-109.3286,42.8909],[-109.3307,42.8736],[-109.3269,42.8682],[-109.3117,42.8565],[-109.2985,42.8544],[-109.2794,42.8336],[-109.2691,42.821],[-109.2533,42.8116],[-109.2402,42.8095],[-109.2188,42.8051],[-109.2106,42.7952],[-109.2329,42.7886],[-109.2397,42.7826],[-109.2421,42.7785],[-109.2426,42.769],[-109.2382,42.7663],[-109.2225,42.7632],[-109.2188,42.766],[-109.2126,42.7688],[-109.2045,42.7684],[-109.1944,42.7626],[-109.1811,42.7554],[-109.1598,42.7456],[-109.1528,42.7402],[-109.147,42.7307],[-109.1381,42.7213],[-109.1336,42.7122],[-109.1265,42.695],[-109.0722,42.6959],[-109.0717,42.6659],[-109.0707,42.6],[-109.0708,42.565],[-109.0704,42.5355],[-109.0708,42.5214],[-109.0696,42.4482],[-109.0694,42.4333],[-109.0433,42.4335],[-109.0442,42.3662],[-109.0446,42.3517],[-109.0447,42.2781],[-109.0451,42.2635],[-108.9856,42.2631],[-108.8678,42.263],[-108.8288,42.2628],[-108.8095,42.2629],[-108.7866,42.2622],[-108.711,42.2631],[-108.693,42.2631],[-108.5976,42.2632],[-108.5771,42.2633],[-108.4773,42.2623],[-108.4581,42.2624],[-108.3651,42.2636],[-108.3459,42.2636],[-108.2418,42.2621],[-108.2225,42.2621],[-108.1234,42.2613],[-108.1035,42.2613],[-108.0087,42.2609],[-107.9895,42.2609],[-107.8928,42.2613],[-107.873,42.2613],[-107.8159,42.2608],[-107.7775,42.2607],[-107.7564,42.2607],[-107.718,42.2606],[-107.6789,42.2601],[-107.6591,42.26],[-107.6393,42.2599],[-107.5401,42.2596],[-107.5209,42.2596],[-107.5208,42.2741],[-107.5209,42.3473],[-107.5208,42.3618],[-107.5206,42.3904],[-107.5211,42.4054],[-107.5209,42.4336],[-107.4426,42.4342],[-107.4234,42.4341],[-107.4041,42.4345],[-107.3873,42.4344],[-107.3457,42.4346],[-107.3084,42.4349],[-107.2885,42.4343],[-107.1916,42.4347],[-107.173,42.4346],[-107.0934,42.4345],[-107.0742,42.4343],[-106.9704,42.4331],[-106.9574,42.433],[-106.9455,42.4334],[-106.9412,42.4333],[-106.9387,42.4333],[-106.8747,42.4323],[-106.8642,42.4322],[-106.8492,42.4321],[-106.8362,42.4324],[-106.8219,42.4328],[-106.7958,42.4325],[-106.7834,42.4324],[-106.738,42.4324],[-106.7169,42.4322],[-106.7076,42.4317],[-106.6864,42.4315],[-106.6187,42.4312],[-106.6088,42.4311],[-106.6007,42.4315],[-106.592,42.4314],[-106.5336,42.4312],[-106.5137,42.431],[-106.4814,42.4306],[-106.474,42.4305],[-106.4435,42.4306],[-106.4323,42.4305],[-106.3658,42.431],[-106.3546,42.4309],[-106.3434,42.4312],[-106.3235,42.4314],[-106.2651,42.4315],[-106.2471,42.4317],[-106.239,42.4321],[-106.1464,42.4326],[-106.1265,42.4328],[-106.1228,42.4323],[-106.1054,42.4325],[-106.0749,42.4325]]]},\"properties\":{\"name\":\"Carbon\",\"state\":\"WY\"}}]}","contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118
Climate change is altering the distribution of some wildlife species while warming temperatures are facilitating the northward expansion of pathogens, potentially increasing disease risk. Melting of Arctic sea ice is causing polar bears (Ursus maritimus) of the Southern Beaufort Sea (SBS) to increasingly spend summer on land, where they may encounter novel pathogens. Here, we tested whether SBS polar bears on shore during summer exhibited greater immune system activity than bears remaining on the sea ice. In addition, we tested whether the type of immune response correlated with body condition, because adaptive responses (slowly-developing defenses against specific pathogens) often require less energy than innate responses (rapid defenses not based on pathogen identity). After accounting for body condition, we found that polar bears on shore exhibited higher total white blood cell counts, neutrophils, and monocytes than bears on the ice, suggesting greater infections. Lymphocytes, eosinophils, basophils and globulins did not differ. C-reactive protein, an indicator of inflammation, also did not differ between habitats. Body condition was associated with variables indicative of both innate and adaptive immunity, suggesting that neither response was uniquely limited by energy resources. Our data indicate that as more polar bears spend longer periods of time on shore, they may experience more infections. We encourage continued health monitoring of this species and studies of the long-term fitness consequences from disease.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/698996","usgsCitation":"Whiteman, J.P., Harlow, H.J., Durner, G.M., Regehr, E.V., Amstrup, S.C., and Ben-David, M., 2019, Heightened immune system function in polar bears using terrestrial habitats: Physiological and Biochemical Zoology, v. 92, no. 1, p. 1-11, https://doi.org/10.1086/698996.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-094063","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":366391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whiteman, John P.","contributorId":194427,"corporation":false,"usgs":false,"family":"Whiteman","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":768019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harlow, Henry J.","contributorId":195844,"corporation":false,"usgs":false,"family":"Harlow","given":"Henry","email":"","middleInitial":"J.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":768020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":768018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":768021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":768022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ben-David, Merav","contributorId":190901,"corporation":false,"usgs":false,"family":"Ben-David","given":"Merav","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":768023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202240,"text":"70202240 - 2019 - Tracking changes in nutrient delivery to western Lake Erie: Approaches to compensate for variability and trends in streamflow","interactions":[],"lastModifiedDate":"2019-02-19T11:43:05","indexId":"70202240","displayToPublicDate":"2019-02-01T11:43:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Tracking changes in nutrient delivery to western Lake Erie: Approaches to compensate for variability and trends in streamflow","docAbstract":"Tracking changes in stream nutrient inputs to Lake Erie over multidecadal time scales depends on the use of statistical methods that can remove the influence of year-to-year variability of streamflow but also explicitly consider the influence of long-term trends in streamflow. The methods introduced in this paper include an extended version of Weighted Regressions on Time, Discharge, and Season (WRTDS) modeling that explicitly considers nonstationary streamflow by incorporating information on changes in the frequency distribution of daily measured streamflow (discharge) over time. Soluble reactive phosphorus (SRP) trends in annual flow-normalized fluxes (loads) at five long-term monitoring sites in the western Lake Erie drainage basin show increases of 109 to 322% over the period 1995 to 2015. About one-third of the increase appears attributable to increasing discharge trends, while the remaining two-thirds appears to be driven by changes in concentration versus discharge relationships reflecting higher concentrations for any given discharge during recent years. Trends in total phosphorus and three nitrogen parameters (total nitrogen, nitrate-nitrite, and total Kjeldahl nitrogen) at the 10 sites analyzed were much less pronounced, and commonly show decreases in concentration-discharge relationships accompanied by increases in discharge, resulting in little net change in total flux. Trends in monthly SRP fluxes and discharge, dissolved versus particulate fractions of nutrients, and N:P flux ratios were also evaluated. The methods described here provide tools to more clearly discern the effectiveness of nutrient-control strategies and can serve as ongoing measures of progress, or lack of progress, towards nutrient-reduction goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.11.012","usgsCitation":"Choquette, A.F., Hirsch, R.M., Murphy, J.C., Johnson, L., and Confesor, R., 2019, Tracking changes in nutrient delivery to western Lake Erie: Approaches to compensate for variability and trends in streamflow: Journal of Great Lakes Research, v. 45, no. 1, p. 21-39, https://doi.org/10.1016/j.jglr.2018.11.012.","productDescription":"19 p.","startPage":"21","endPage":"39","ipdsId":"IP-098855","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":460508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2018.11.012","text":"Publisher Index Page"},{"id":361336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.27587890625,\n 40.65980593837852\n ],\n [\n -80.4144287109375,\n 40.65980593837852\n ],\n [\n -80.4144287109375,\n 43.113014204188914\n ],\n [\n -85.27587890625,\n 43.113014204188914\n ],\n [\n -85.27587890625,\n 40.65980593837852\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Choquette, Anne F. 0000-0002-7858-1728 achoq@usgs.gov","orcid":"https://orcid.org/0000-0002-7858-1728","contributorId":210699,"corporation":false,"usgs":true,"family":"Choquette","given":"Anne","email":"achoq@usgs.gov","middleInitial":"F.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":757447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":757448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, L.T.","contributorId":213319,"corporation":false,"usgs":false,"family":"Johnson","given":"L.T.","email":"","affiliations":[{"id":38736,"text":"National Center for Water Quality Research, Heidelberg Univeristy, Tiffin, Ohio","active":true,"usgs":false}],"preferred":false,"id":757449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Confesor, R. B.","contributorId":213320,"corporation":false,"usgs":false,"family":"Confesor","given":"R. B.","affiliations":[{"id":38737,"text":"National Center for Water Quality Research, Heidelberg University, Tiffin, Ohio","active":true,"usgs":false}],"preferred":false,"id":757450,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237799,"text":"70237799 - 2019 - Aquifer depletion and potential impacts on long-term irrigated agricultural productivity","interactions":[],"lastModifiedDate":"2022-10-24T16:38:20.304723","indexId":"70237799","displayToPublicDate":"2019-02-01T11:27:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":12794,"text":"Issue Paper","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"63","title":"Aquifer depletion and potential impacts on long-term irrigated agricultural productivity","docAbstract":"Groundwater is the Earth’s most extracted raw material, with almost 1,000 cubic kilometers per year (800 million acre-feet per year) of groundwater pumped from aquifers around the world. Approximately 70% of groundwater withdrawals worldwide are used to support agricultural production systems, and within the United States, about 71% of groundwater withdrawals are used for irrigating croplands. This percentage of groundwater used to support agriculture is even higher in arid and semi-arid areas, where the only consistent source of irrigation water is groundwater. In these regions, however, the use of groundwater typically far exceeds the rate at which it is naturally replenished, indicating that these critical groundwater resources are being slowly depleted. Within the United States, groundwater depletion has occurred in many important agricultural production regions, including the Great Plains Region (Nebraska, Colorado, Oklahoma, New Mexico, and northern Texas), the Central Valley of California, the Mississippi Embayment Aquifer (Mississippi River lowlands bordering Arkansas and Mississippi), aquifers in southern Arizona, and smaller aquifers in many western states.
The groundwater resource with the greatest long-term depletion is the High Plains (Ogallala) aquifer in the Great Plains Region of the United States, where groundwater levels have declined by more than 50 meters (150 feet) in some areas. The Central Valley of California, however, is experiencing the highest groundwater depletion intensity because of increased use over the last several decades. The most obvious consequences of depleting groundwater resources are the loss of a long-term water supply and the increased costs of pumping groundwater as the water table declines further below the ground surface. There are many other consequences associated with groundwater depletion, however, including the loss of the productivity of groundwater production wells (possibly requiring the construction of new wells); the depletion of the flow of water in rivers, creeks, and lakes when they are hydrologically connected to underlying aquifers; the shifting and subsidence of land surfaces that can occur when groundwater is extracted from aquifers; and the intrusion of high saline, or poor quality, water from other subsurface formations.
The most effective approaches for addressing groundwater depletion focus on reducing or eliminating the imbalance between the inflow and outflow of water to an aquifer. Methods that focus on increasing the inflow to groundwater resources include the development of managed aquifer recharge systems and altering land-use practices to increase the infiltration of water below the land surface. Methods that focus on decreasing groundwater use include the implementation of more efficient irrigation systems, the development of agricultural crops that require less water, and the creation of economic incentives to encourage water conservation. All of these methods should be considered when developing plans to address the long-term consequences of groundwater depletion. In addition, when developing policies that regulate groundwater systems that are being depleted, the potential consequences of groundwater depletion need to be fully assessed to determine the trade-offs that exist between the undesired impacts of groundwater depletion and whether these impacts outweigh the benefits associated with groundwater use.
","language":"English","publisher":"Council for Agricultural Science and Technology","usgsCitation":"Tracy, J., Johnson, J., Konikow, L.F., Miller, G., Porter, D., Sheng, Z., and Sibray, S., 2019, Aquifer depletion and potential impacts on long-term irrigated agricultural productivity: Issue Paper 63, 20 p.","productDescription":"20 p.","ipdsId":"IP-101928","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":408653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tracy, John","contributorId":189218,"corporation":false,"usgs":false,"family":"Tracy","given":"John","email":"","affiliations":[],"preferred":false,"id":855667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Jennifer","contributorId":258148,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":855668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":855669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Gretchen","contributorId":298471,"corporation":false,"usgs":false,"family":"Miller","given":"Gretchen","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":855670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Dana","contributorId":189265,"corporation":false,"usgs":false,"family":"Porter","given":"Dana","email":"","affiliations":[],"preferred":false,"id":855671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheng, Zhuping","contributorId":298473,"corporation":false,"usgs":false,"family":"Sheng","given":"Zhuping","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":855672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sibray, Steven","contributorId":298475,"corporation":false,"usgs":false,"family":"Sibray","given":"Steven","email":"","affiliations":[{"id":64583,"text":"Univ. of Nebraska","active":true,"usgs":false}],"preferred":false,"id":855673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227876,"text":"70227876 - 2019 - First maturity and spawning periodicity of hatchery-origin pallid sturgeon in the upper Missouri River above Fort Peck Reservoir, Montana.","interactions":[],"lastModifiedDate":"2022-02-01T17:16:57.604583","indexId":"70227876","displayToPublicDate":"2019-02-01T11:11:29","publicationYear":"2019","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":"First maturity and spawning periodicity of hatchery-origin pallid sturgeon in the upper Missouri River above Fort Peck Reservoir, Montana.","docAbstract":"The pallid sturgeon Scaphirhynchus albus conservation propagation program has augmented declining wild populations since the 1990s and the older age classes of hatchery-origin fish are beginning to reach sexual maturity in the wild. Currently, the majority of the information available on the age and size at first maturity and spawning periodicity for pallid sturgeon in the upper basin is from captive hatchery-origin pallid sturgeon (i.e. age and size at first maturity and spawning periodicity) or from wild pallid sturgeon artificially spawned in the propagation program (i.e. spawning periodicity). The purpose of this study was to document age and size at first maturity and spawning periodicity of known age hatchery-origin pallid sturgeon that have reached maturity in the wild. Radio-tagged pallid sturgeon in the upper Missouri River upstream of Fort Peck Reservoir were serially sampled in the early-spring over multiple years and assigned to reproductive classifications each year based on sex-steroid concentrations. The youngest reproductively-active male hatchery-origin pallid sturgeon sampled was 14.5 years old and the youngest female was 18. Hatchery-origin males were observed having annual (N = 3) and biennial (N = 2) reproductive cycles. The observed spawning periodicity was similar to what has been reported elsewhere for the species. The youngest mature fish in this study are older and larger than what has been reported for those retained in captivity, indicating that body size alone is not a reliable predictor of maturity for pallid sturgeon.
","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/jai.13751","usgsCitation":"Holmquist, L.M., Guy, C.S., Tews, A., and Webb, M., 2019, First maturity and spawning periodicity of hatchery-origin pallid sturgeon in the upper Missouri River above Fort Peck Reservoir, Montana.: Journal of Applied Ichthyology, v. 35, no. 1, p. 138-148, https://doi.org/10.1111/jai.13751.","productDescription":"11 p.","startPage":"138","endPage":"148","ipdsId":"IP-093894","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467944,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13751","text":"Publisher Index Page"},{"id":395218,"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 -111.368408203125,\n 47.24194882163242\n ],\n [\n -107.85827636718749,\n 47.24194882163242\n ],\n [\n -107.85827636718749,\n 48.23199134320962\n ],\n [\n -111.368408203125,\n 48.23199134320962\n ],\n [\n -111.368408203125,\n 47.24194882163242\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Holmquist, Luke Mathew 0000-0002-9282-8897","orcid":"https://orcid.org/0000-0002-9282-8897","contributorId":273009,"corporation":false,"usgs":true,"family":"Holmquist","given":"Luke","email":"","middleInitial":"Mathew","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832455,"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":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":832452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tews, Anne","contributorId":244287,"corporation":false,"usgs":false,"family":"Tews","given":"Anne","email":"","affiliations":[{"id":48627,"text":"mtfwp","active":true,"usgs":false}],"preferred":false,"id":832454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Molly A. H.","contributorId":126730,"corporation":false,"usgs":false,"family":"Webb","given":"Molly A. H.","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":832453,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202090,"text":"70202090 - 2019 - Climate, snow, and soil moisture data set for the Tuolumne and Merced river watersheds, California, USA","interactions":[],"lastModifiedDate":"2019-02-11T10:46:44","indexId":"70202090","displayToPublicDate":"2019-02-01T10:46:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Climate, snow, and soil moisture data set for the Tuolumne and Merced river watersheds, California, USA","docAbstract":"We present hourly climate data to force land surface process models and assessments over the Merced and Tuolumne watersheds in the Sierra Nevada, California, for the water year 2010–2014 period. Climate data (38 stations) include temperature and humidity (23), precipitation (13), solar radiation (8), and wind speed and direction (8), spanning an elevation range of 333 to 2987 m. Each data set contains raw data as obtained from the source (Level 0), data that are serially continuous with noise and nonphysical points removed (Level 1), and, where possible, data that are gap filled using linear interpolation or regression with a nearby station record (Level 2). All stations chosen for this data set were known or documented to be regularly maintained and components checked and calibrated during the period. Additional time-series data included are available snow water equivalent records from automated stations (8) and manual snow courses (22), as well as distributed snow depth and co-located soil moisture measurements (2–6) from four locations spanning the rain–snow transition zone in the center of the domain. Spatial data layers pertinent to snowpack modeling in this data set are basin polygons and 100 m resolution rasters of elevation, vegetation type, forest canopy cover, tree height, transmissivity, and extinction coefficient. All data are available from online data repositories (https://doi.org/10.6071/M3FH3D).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-11-101-2019","usgsCitation":"Roche, J.W., Rice, R., Meng, X., Cayan, D.R., Dettinger, M.D., Alden, D., Patel, S.C., Mason, M.A., Conklin, M.H., and Bales, R.C., 2019, Climate, snow, and soil moisture data set for the Tuolumne and Merced river watersheds, California, USA: Earth System Science Data, v. 11, p. 101-110, https://doi.org/10.5194/essd-11-101-2019.","productDescription":"10 p.","startPage":"101","endPage":"110","ipdsId":"IP-103542","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":467945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-11-101-2019","text":"Publisher Index Page"},{"id":361121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tuolumne and Merced river watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.5,\n 37.5\n ],\n [\n -119,\n 37.5\n ],\n [\n -119,\n 38.25\n ],\n [\n -120.5,\n 38.2546649284538942\n ],\n [\n -120.5,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Roche, James W.","contributorId":178800,"corporation":false,"usgs":false,"family":"Roche","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":756832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Robert","contributorId":149915,"corporation":false,"usgs":false,"family":"Rice","given":"Robert","affiliations":[],"preferred":false,"id":756833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meng, Xiande","contributorId":213043,"corporation":false,"usgs":false,"family":"Meng","given":"Xiande","email":"","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":756834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":756835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":756831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alden, Douglas","contributorId":213045,"corporation":false,"usgs":false,"family":"Alden","given":"Douglas","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":756836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patel, Sarina C.","contributorId":213046,"corporation":false,"usgs":false,"family":"Patel","given":"Sarina","email":"","middleInitial":"C.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":756837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mason, Megan A.","contributorId":213047,"corporation":false,"usgs":false,"family":"Mason","given":"Megan","email":"","middleInitial":"A.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":756838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conklin, Martha H.","contributorId":189395,"corporation":false,"usgs":false,"family":"Conklin","given":"Martha","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":756839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bales, Roger C.","contributorId":189659,"corporation":false,"usgs":false,"family":"Bales","given":"Roger","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":756840,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70201746,"text":"70201746 - 2019 - Brood size affects future reproduction in a long-lived bird with precocial young","interactions":[],"lastModifiedDate":"2019-03-27T10:46:28","indexId":"70201746","displayToPublicDate":"2019-02-01T10:45:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Brood size affects future reproduction in a long-lived bird with precocial young","docAbstract":"Estimation of trade-offs between current reproduction and future survival and fecundity of long-lived vertebrates is essential to understanding factors that shape optimal reproductive investment. Black brant geese (Branta bernicla nigricans) fledge more goslings, on average, when their broods are experimentally enlarged to be greater than the most common clutch size of four eggs. Thus, we hypothesized that the lesser frequency of brant clutches exceeding four eggs results, at least partially, from a future reduction in survival, breeding probability, or clutch size for females tending larger broods. We used an eight-year mark-recapture dataset (Barker robust design) with five years of clutch and brood manipulations to estimate long-term consequences of reproductive decisions in brant. We did not find evidence of a trade-off between reproductive effort and true survival or future initiation date and clutch size. Rather, future breeding probability was maximized (0.92 ± 0.03 [se]) for manipulated females tending broods of four goslings and lower for females tending smaller (one gosling; 0.63 ± 0.09 [se]) or larger broods (seven goslings; 0.52 ± 0.15 [se]). Our results suggest that demographic trade-offs for female brant tending large broods may reduce the fitness value of clutches larger than four and, therefore, contribute to the paucity of larger clutches. The lack of a trade-off between reproductive effort and survival provides evidence that survival, to which fitness is most sensitive in long-lived animals, is buffered against temporal variation in brant.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/701783","usgsCitation":"Alan Leach, James Sedinger, Riecke, T., Van Dellen, A., Ward, D.H., and Sean Boyd, 2019, Brood size affects future reproduction in a long-lived bird with precocial young: American Naturalist, v. 193, no. 3, p. 458-471, https://doi.org/10.1086/701783.","productDescription":"14 p.","startPage":"458","endPage":"471","ipdsId":"IP-066700","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":362384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"193","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alan Leach","contributorId":211896,"corporation":false,"usgs":false,"family":"Alan Leach","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James Sedinger","contributorId":203592,"corporation":false,"usgs":false,"family":"James Sedinger","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riecke, Thomas","contributorId":211897,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas","email":"","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Dellen, Amanda","contributorId":211898,"corporation":false,"usgs":false,"family":"Van Dellen","given":"Amanda","email":"","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":755157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sean Boyd","contributorId":203594,"corporation":false,"usgs":false,"family":"Sean Boyd","affiliations":[{"id":36668,"text":"Science and Technology Branch, Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":755162,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205060,"text":"70205060 - 2019 - Financing agricultural drought risk through ex-ante cash transfers","interactions":[],"lastModifiedDate":"2024-05-17T14:55:18.445952","indexId":"70205060","displayToPublicDate":"2019-02-01T09:26:03","publicationYear":"2019","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":"Financing agricultural drought risk through ex-ante cash transfers","docAbstract":"Despite advances in drought early warning systems, forecast information is rarely used for triggering and financing early actions, such as cash transfer. Scaling up cash transfer pay-outs , and overcoming the barriers to actions based on forecasts, requires an understanding of costs resulting from False Alarms, and the potential benefits associated with appropriate early interventions. On this study, we evaluate the potential cost-effectiveness of cash transfer responses, comparing the relative costs of ex-ante cash transfers during the maize growing season to ex-post cash transfers after harvesting in Kenya. For that, we developed a forecast model using Fast-and Frugal Trees that unravels early warning relationships between climate variability, vegetation coverage, and maize yields at multiple lead times. Results indicate that our models correctly forecast low maize yield events 85% of the time across the districts studied, some already six months before harvesting. The models’ performance improves towards the end of the growing season driven by a decrease of 39% in the probability of False Alarms. Overall, we show that timely cash transfers ex-ante to a disaster can often be more cost-effective than investing in ex-post expenditures. Our findings suggest that early response can yield significant cost savings, and can potentially increase the effectiveness of existing cash transfer systems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.10.406","usgsCitation":"Nobre, G.G., Davenport, F., Bischiniotis, K., Veldcamp, T., Jongman, B., Funk, C., Husak, G., Ward, P.J., and Aerts, J.C., 2019, Financing agricultural drought risk through ex-ante cash transfers: Science of the Total Environment, v. 653, p. 523-535, https://doi.org/10.1016/j.scitotenv.2018.10.406.","productDescription":"13 p.","startPage":"523","endPage":"535","ipdsId":"IP-099846","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467946,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.10.406","text":"Publisher Index Page"},{"id":367065,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kenya","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[40.993,-0.85829],[41.58513,-1.68325],[40.88477,-2.08255],[40.63785,-2.49979],[40.26304,-2.57309],[40.12119,-3.27768],[39.80006,-3.68116],[39.60489,-4.34653],[39.20222,-4.67677],[37.7669,-3.67712],[37.69869,-3.09699],[34.07262,-1.05982],[33.90371,-0.95],[33.89357,0.10981],[34.18,0.515],[34.6721,1.17694],[35.03599,1.90584],[34.59607,3.05374],[34.47913,3.5556],[34.005,4.24988],[34.6202,4.84712],[35.29801,5.506],[35.81745,5.33823],[35.81745,4.77697],[36.15908,4.44786],[36.85509,4.44786],[38.12091,3.59861],[38.43697,3.58851],[38.67114,3.61607],[38.89251,3.50074],[39.55938,3.42206],[39.85494,3.83879],[40.76848,4.25702],[41.1718,3.91909],[41.85508,3.91891],[40.98105,2.78452],[40.993,-0.85829]]]},\"properties\":{\"name\":\"Kenya\"}}]}","volume":"653","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nobre, Gabriela Guimaraes","contributorId":218649,"corporation":false,"usgs":false,"family":"Nobre","given":"Gabriela","email":"","middleInitial":"Guimaraes","affiliations":[{"id":39879,"text":"Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam","active":true,"usgs":false}],"preferred":false,"id":769801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Frank","contributorId":145816,"corporation":false,"usgs":false,"family":"Davenport","given":"Frank","email":"","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":769802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bischiniotis, Konstantinos","contributorId":218650,"corporation":false,"usgs":false,"family":"Bischiniotis","given":"Konstantinos","email":"","affiliations":[{"id":39880,"text":"Institute for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":769803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veldcamp, Ted","contributorId":218651,"corporation":false,"usgs":false,"family":"Veldcamp","given":"Ted","email":"","affiliations":[{"id":39880,"text":"Institute for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":769805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jongman, Brenden","contributorId":218652,"corporation":false,"usgs":false,"family":"Jongman","given":"Brenden","email":"","affiliations":[{"id":39880,"text":"Institute for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":769806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":769800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":769807,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ward, Philip J.","contributorId":67434,"corporation":false,"usgs":true,"family":"Ward","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":769861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aerts, Jeroen C.J.H.","contributorId":215545,"corporation":false,"usgs":false,"family":"Aerts","given":"Jeroen","email":"","middleInitial":"C.J.H.","affiliations":[{"id":39273,"text":"Institute for Environmental Studies (IVM), VU University Amsterdam","active":true,"usgs":false}],"preferred":false,"id":769808,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70204530,"text":"70204530 - 2019 - Flow-ecology relationships are spatially structured and differ among flow regimes","interactions":[],"lastModifiedDate":"2019-08-01T08:37:26","indexId":"70204530","displayToPublicDate":"2019-02-01T08:36:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Flow-ecology relationships are spatially structured and differ among flow regimes","docAbstract":"In streams, hydrology is a predominant driver of ecological structure and function. Providing adequate flows to support aquatic life, or environmental flows, is therefore a top management priority in stream systems.\n\nFlow regime classification is a widely accepted approach for establishing environmental flow guidelines. However, it is surprisingly difficult to quantify relationships between hydrology and ecology (flow–ecology relationships) while describing how these relationships vary across classified flow regimes. Developing such relationships is complicated by several sources of spatial bias, such as autocorrelation due to spatial design, flow regime classification and other environmental or ecological sources of spatial bias.\n\nWe used mixed moving‐average spatial stream network models to develop flow–ecology relationships across classified flow regimes and to assess spatial patterns of these relationships. We compared relationships between fish traits and life‐history strategies with hydrologic metrics across flow regimes and assessed whether spatial autocorrelation influenced these relationships.\n\nTrait–hydrology relationships varied between flow regimes and across all streams combined. Some relationships between traits and hydrologic metrics fit predictions based on life‐history theory, while others exhibited unexpected relationships with hydrology. Spatial factors described a large proportion of variability in fish traits and different patterns of spatial autocorrelation were observed in different flow regimes.\n\nSynthesis and applications. Further work is needed to understand why flow–ecology relationships vary across classified flow regimes and why these relationships may not fit predictions based on life‐history theories. Managers determining environmental flow standards need to be aware that different hydrologic metrics are often important drivers of fish trait diversity in different flow regimes. Flow–ecology relationships may therefore be confounded by spatial structure inherent in flow regime classification and much existing biological data. Complex patterns of spatial bias should be considered when managing stream systems within an environmental flows framework.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13297","usgsCitation":"Magoulick, D.D., 2019, Flow-ecology relationships are spatially structured and differ among flow regimes: Journal of Applied Ecology, v. 56, no. 2, p. 398-412, https://doi.org/10.1111/1365-2664.13297.","productDescription":"15 p.","startPage":"398","endPage":"412","ipdsId":"IP-084577","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13297","text":"Publisher Index Page"},{"id":366059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":767415,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204644,"text":"70204644 - 2019 - A strategy for defining the reference for land health and degradation assessments","interactions":[],"lastModifiedDate":"2019-08-09T11:01:12","indexId":"70204644","displayToPublicDate":"2019-02-01T08:14:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A strategy for defining the reference for land health and degradation assessments","docAbstract":"Much of the confusion about the definition of reference conditions for land health and degradation assessments is due to differences in policy and management objectives. Selection of a historic reference where it is not necessary, such as in the definition of future land degradation neutrality, can add significant cost and uncertainty to land management projects that require some knowledge of the current status of the land relative to its potential. This paper (1) provides a review of conditions under which historic reference information is and is not required to meet management and policy objectives, (2) summarizes current approaches to defining the reference for land health and degradation assessments, and (3) presents a protocol, “Describing Indicators of Rangeland Health” (DIRH) for collecting and organizing data that can be used to define a historic reference. This protocol builds on the framework and indicators presented in the “Interpreting Indicators of Rangeland Health” (IIRH). IIRH uses a combination of scientific and local knowledge to generate soil- and climate-specific assessments of three attributes of land health. It is used in a number of countries. In the United States, data are aggregated over 30,000 locations to provide national assessments.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.06.065","usgsCitation":"Herrick, J.E., Shaver, P., Pyke, D.A., Pellant, M., Toledo, D., and Lepak, N., 2019, A strategy for defining the reference for land health and degradation assessments: Ecological Indicators, v. 97, p. 225-230, https://doi.org/10.1016/j.ecolind.2018.06.065.","productDescription":"6 p.","startPage":"225","endPage":"230","ipdsId":"IP-098450","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":767894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaver, Patrick","contributorId":217950,"corporation":false,"usgs":false,"family":"Shaver","given":"Patrick","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":767895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":767896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellant, Mike","contributorId":178257,"corporation":false,"usgs":false,"family":"Pellant","given":"Mike","email":"","affiliations":[],"preferred":false,"id":767897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toledo, David","contributorId":195936,"corporation":false,"usgs":false,"family":"Toledo","given":"David","email":"","affiliations":[],"preferred":false,"id":767898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lepak, Nika","contributorId":217951,"corporation":false,"usgs":false,"family":"Lepak","given":"Nika","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":767899,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206197,"text":"70206197 - 2019 - Evaluating the role of Farm Bill conservation program participation in conserving America’s grasslands","interactions":[],"lastModifiedDate":"2019-10-25T07:08:12","indexId":"70206197","displayToPublicDate":"2019-02-01T07:07:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2599,"text":"Land Use Policy","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the role of Farm Bill conservation program participation in conserving America’s grasslands","docAbstract":"Grasslands are one of the most imperiled ecosystems in the world and the majority of the grassland ecosystem in the United States is privately owned and used for agriculture. Conversion of grasslands to row crops is expanding, fueled by commodity price increases, technological improvements, and agricultural policy. The U.S. government primarily uses voluntary incentive-based conservation programs to address the environmental impacts of agriculture and encourage conservation on private land. To investigate the utility of these programs to conserve grasslands, we surveyed private landowners in the Plains and Prairie Pothole Ecoregion (PPPE), one of America’s most at-risk grassland areas, about their land use, environmental attitudes and values, and reasons for or against participating in a Farm Bill conservation program. Agricultural landowners with large land holdings, who value hunting, and have positive environmental values, attitudes, and behaviors, were more likely to participate in a program. Financial considerations and a desire for autonomy limited participation. While program participants had less land in grass than nonparticipants and were more likely to convert planted grass to row crops and/or remove wetlands, they were also less likely to convert virgin sod to row crops. These findings signal the need for additional research and tools other than FBCPs to conserve the PPPE grasslands.","language":"English","publisher":"Elsevier","doi":"10.1016/j.landusepol.2018.10.023","usgsCitation":"Gigliotti, L.M., and Lily A. Sweikert, 2019, Evaluating the role of Farm Bill conservation program participation in conserving America’s grasslands: Land Use Policy, v. 81, p. 392-399, https://doi.org/10.1016/j.landusepol.2018.10.023.","productDescription":"8 p.","startPage":"392","endPage":"399","ipdsId":"IP-087258","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":368591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":773821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lily A. Sweikert","contributorId":217826,"corporation":false,"usgs":false,"family":"Lily A. Sweikert","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":773822,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199909,"text":"fs20183065 - 2019 - Assessment of continuous oil and gas resources in the Duvernay Formation, Alberta Basin Province, Canada, 2018","interactions":[],"lastModifiedDate":"2019-01-31T16:01:48","indexId":"fs20183065","displayToPublicDate":"2019-01-31T16:50:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3065","title":"Assessment of continuous oil and gas resources in the Duvernay Formation, Alberta Basin Province, Canada, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 1.3 billion barrels of oil and 22.2 trillion cubic feet of gas in the Duvernay Formation of the Alberta Basin Province, Canada.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183065","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Le, P.A., Brownfield, M.E., Marra, K.R., Gaswirth, S.B., Leathers-Miller, H.M., and Drake, R.M., II, 2019, Assessment of continuous oil and gas resources in the Duvernay Formation, Alberta Basin Province, Canada, 2018: U.S. Geological Survey Fact Sheet 2018–3065, 2 p., https://doi.org/10.3133/fs20183065.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-099094","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360851,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3065/fs20183065.pdf","text":"Report","size":"800 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3065"},{"id":360848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3065/coverthb.jpg"}],"country":"Canada","otherGeospatial":"Duvernay Formation, Alberta Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 49\n ],\n [\n -106,\n 49\n ],\n [\n -106,\n 63\n ],\n [\n -124,\n 63\n ],\n [\n -124,\n 49\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Although methods are in place through the U.S. Fish and Wildlife (USFWS) program for ploidy testing of feral caught Grass Carp (Ctenopharyngodon idella) and black carp (Mylopharyngodon piceus), no guidelines exist for carp hauled across state lines. Using 1200 Grass Carp purchased by undercover Ohio law enforcement during 2015–2016, we developed a standardized protocol for discriminating ploidy by using two parameters, nuclear size and DNA content. Bead standards at 2 μm or 4 μm were used to establish nuclear size from Nile Tilapia (Oreochromis niloticus), known diploid (n = 20) and triploid (n = 20) Grass Carp blood, and cells derived from eyeballs of purchased field carp. The control for establishing DNA content was cryopreserved or fresh tilapia blood (2.40 pg). Time postmortem indicated nuclear size was similar over 4 days, but DNA quality from triploids was best at 24 h. Occasionally, only size or DNA content was measurable. Tilapia mean nuclear size (n = 501 samples) was 4.61 μm (SE 0.05) (R2 = 0.94). Known diploid and triploid blood nuclear sizes, compared with tilapia size, were 3.62 μm (SE 0.13) (R2 = 0.96) and 7.58 μm (SE 0.27) (R2 = 0.96), respectively. Mean field carp eye nuclear size was 5.83 μm (SE 0.13). Mean DNA content of cells from field carp eyes (n = 698 fish) was 3.51 pg (SE 0.06). No diploid Grass Carp were detected in the USFWS certified triploid Grass Carp transports. This standard protocol reliably discriminates ploidy and can be used for enforcement of regulations that differ among state jurisdictions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.12.004","usgsCitation":"Jenkins, J.A., Chauvin, M.D., Johnson, D., Brown, B.L., Bailey, J., Kelly, A.M., and Kinter, B.T., 2019, Defensible standardized ploidy assessments for Grass Carp (Ctenopharyngodon idella, Cyprinidae) intercepted from the commercial supply chain: Journal of Great Lakes Research, v. 45, no. 2, p. 371-383, https://doi.org/10.1016/j.jglr.2018.12.004.","productDescription":"13 p.","startPage":"371","endPage":"383","ipdsId":"IP-090433","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2018.12.004","text":"Publisher Index Page"},{"id":360894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":755758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chauvin, Megan D. 0000-0001-8567-2831","orcid":"https://orcid.org/0000-0001-8567-2831","contributorId":212230,"corporation":false,"usgs":true,"family":"Chauvin","given":"Megan","email":"","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":755760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Bonnie L.","contributorId":23083,"corporation":false,"usgs":false,"family":"Brown","given":"Bonnie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":755761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Jennifer","contributorId":212231,"corporation":false,"usgs":false,"family":"Bailey","given":"Jennifer","email":"","affiliations":[{"id":38464,"text":"USFWS, LaCrosse Fish Health Center, Midwest Fisheries Center","active":true,"usgs":false}],"preferred":false,"id":755762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Anita M.","contributorId":192456,"corporation":false,"usgs":false,"family":"Kelly","given":"Anita","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":755763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinter, Bryan T.","contributorId":205689,"corporation":false,"usgs":false,"family":"Kinter","given":"Bryan","email":"","middleInitial":"T.","affiliations":[{"id":37146,"text":"OH Dept of Natural Resources, Division of Wildlife","active":true,"usgs":false}],"preferred":false,"id":755764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201863,"text":"70201863 - 2019 - Critical review: Grand challenges in assessing the adverse effects of contaminants of emerging concern on aquatic food webs","interactions":[],"lastModifiedDate":"2019-01-31T15:42:10","indexId":"70201863","displayToPublicDate":"2019-01-31T15:42:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Critical review: Grand challenges in assessing the adverse effects of contaminants of emerging concern on aquatic food webs","docAbstract":"Much progress has been made in the past few decades in understanding the sources, transport, fate, and biological effects of contaminants of emerging concern (CECs) in aquatic ecosystems. Despite these advancements, significant obstacles still prevent comprehensive assessments of the environmental risks associated with the presence of CECs. Many of these obstacles center around the extrapolation of effects of single chemicals observed in the laboratory or effects found in individual organisms or species in the field to impacts of multiple stressors on aquatic food webs. In the present review, we identify 5 challenges that must be addressed to promote studies of CECs from singular exposure events to multispecies aquatic food web interactions. There needs to be: 1) more detailed information on the complexity of mixtures of CECs in the aquatic environment, 2) a greater understanding of the sublethal effects of CECs on a wide range of aquatic organisms, 3) an ascertaining of the biological consequences of variable duration CEC exposures within and across generations in aquatic species, 4) a linkage of multiple stressors with CEC exposure in aquatic systems, and 5) a documenting of the trophic consequences of CEC exposure across aquatic food webs. We examine the current literature to show how these challenges can be addressed to fill knowledge gaps.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.4290","usgsCitation":"Nilsen, E., Smalling, K., Ahrens, L., Gros, M., Miglioranza, K.S., Pico, Y., and Schoenfuss, H.L., 2019, Critical review: Grand challenges in assessing the adverse effects of contaminants of emerging concern on aquatic food webs: Environmental Toxicology and Chemistry, v. 38, no. 1, p. 46-60, https://doi.org/10.1002/etc.4290.","productDescription":"15 p.","startPage":"46","endPage":"60","ipdsId":"IP-093304","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":467950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4290","text":"Publisher Index Page"},{"id":360892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Nilsen, Elena 0000-0002-0104-6321","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":212096,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":204696,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahrens, Lutz 0000-0002-5430-6764","orcid":"https://orcid.org/0000-0002-5430-6764","contributorId":212097,"corporation":false,"usgs":false,"family":"Ahrens","given":"Lutz","email":"","affiliations":[{"id":38404,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":755563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gros, Meritxell","contributorId":212098,"corporation":false,"usgs":false,"family":"Gros","given":"Meritxell","email":"","affiliations":[{"id":38405,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden; Catalan Institute for Water Research (ICRA), Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":755564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miglioranza, Karina S. B.","contributorId":212099,"corporation":false,"usgs":false,"family":"Miglioranza","given":"Karina","email":"","middleInitial":"S. B.","affiliations":[{"id":38406,"text":"Lab. Ecotoxicology and Environmental Pollution, IIMyC-CONICET, Mar del Plata University, Argentina","active":true,"usgs":false}],"preferred":false,"id":755565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pico, Yolanda 0000-0002-9545-0965","orcid":"https://orcid.org/0000-0002-9545-0965","contributorId":212100,"corporation":false,"usgs":false,"family":"Pico","given":"Yolanda","email":"","affiliations":[{"id":38407,"text":"Environmental and Food Safety Research Group (SAMA-UV), Desertification Research Centre CIDE (CSIC-UV-GV), Faculty of Pharmacy, University of Valencia, Valencia, Spain","active":true,"usgs":false}],"preferred":false,"id":755566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":755567,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}