Decreases in the abundance and diversity of stream fishes in the North American Great Plains have been attributed to habitat fragmentation, altered hydrological and temperature regimes, and elevated levels of total dissolved solids and total suspended solids. Pelagic-broadcast spawning cyprinids, such as the Arkansas River Shiner Notropis girardi, may be particularly vulnerable to these changing conditions because of their reproductive strategy. Our objectives were to assess the effects of temperature, total dissolved solids, and total suspended solids on the developmental and survival rates of Arkansas River Shiner larvae. Results suggest temperature had the greatest influence on the developmental rate of Arkansas River Shiner larvae. However, embryos exposed to the higher levels of total dissolved solids and total suspended solids reached developmental stages earlier than counterparts at equivalent temperatures. Although this rapid development may be beneficial in fragmented waters, our data suggest it may be associated with lower survival rates. Furthermore, those embryos incubating at high temperatures, or in high levels of total dissolved solids and total suspended solids resulted in less viable embryos and larvae than those incubating in all other temperature, total dissolved solid, and total suspended solid treatment groups. As the Great Plains ecoregion continues to change, these results may assist in understanding reasons for past extirpations and future extirpation threats as well as predict stream reaches capable of sustaining Arkansas River Shiners and other species with similar early life-history strategies.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/112015-JFWM-111","usgsCitation":"Mueller, J.S., Grabowski, T.B., Brewer, S.K., and Worthington, T.A., 2017, Effects of temperature, total dissolved solids, and total suspended solids on survival and development rate of larval Arkansas River Shiner: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 79-88, https://doi.org/10.3996/112015-JFWM-111.","productDescription":"10 p.","startPage":"79","endPage":"88","ipdsId":"IP-052617","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469796,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.repository.cam.ac.uk/handle/1810/290516","text":"External Repository"},{"id":347437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-01","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbcd","contributors":{"authors":[{"text":"Mueller, Julia S.","contributorId":176241,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":716093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":716100,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191606,"text":"70191606 - 2017 - Finite‐fault Bayesian inversion of teleseismic body waves","interactions":[],"lastModifiedDate":"2017-10-17T15:00:45","indexId":"70191606","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Finite‐fault Bayesian inversion of teleseismic body waves","docAbstract":"Inverting geophysical data has provided fundamental information about the behavior of earthquake rupture. However, inferring kinematic source model parameters for finite‐fault ruptures is an intrinsically underdetermined problem (the problem of nonuniqueness), because we are restricted to finite noisy observations. Although many studies use least‐squares techniques to make the finite‐fault problem tractable, these methods generally lack the ability to apply non‐Gaussian error analysis and the imposition of nonlinear constraints. However, the Bayesian approach can be employed to find a Gaussian or non‐Gaussian distribution of all probable model parameters, while utilizing nonlinear constraints. We present case studies to quantify the resolving power and associated uncertainties using only teleseismic body waves in a Bayesian framework to infer the slip history for a synthetic case and two earthquakes: the 2011 Mw 7.1 Van, east Turkey, earthquake and the 2010 Mw 7.2 El Mayor–Cucapah, Baja California, earthquake. In implementing the Bayesian method, we further present two distinct solutions to investigate the uncertainties by performing the inversion with and without velocity structure perturbations. We find that the posterior ensemble becomes broader when including velocity structure variability and introduces a spatial smearing of slip. Using the Bayesian framework solely on teleseismic body waves, we find rake is poorly constrained by the observations and rise time is poorly resolved when slip amplitude is low.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160268","usgsCitation":"Clayton, B., Hartzell, S.H., Moschetti, M.P., and Minson, S.E., 2017, Finite‐fault Bayesian inversion of teleseismic body waves: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1526-1544, https://doi.org/10.1785/0120160268.","productDescription":"19 p.","startPage":"1526","endPage":"1544","ipdsId":"IP-083374","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-28","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a5","contributors":{"authors":[{"text":"Clayton, Brandon 0000-0003-0502-7184 bclayton@usgs.gov","orcid":"https://orcid.org/0000-0003-0502-7184","contributorId":197196,"corporation":false,"usgs":true,"family":"Clayton","given":"Brandon","email":"bclayton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712862,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192502,"text":"70192502 - 2017 - Assessment of frequency and duration of point counts when surveying for golden eagle presence","interactions":[],"lastModifiedDate":"2017-10-26T10:46:06","indexId":"70192502","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of frequency and duration of point counts when surveying for golden eagle presence","docAbstract":"We assessed the utility of the recommended golden eagle (Aquila chrysaetos) survey methodology in the U.S. Fish and Wildlife Service 2013 Eagle Conservation Plan Guidance. We conducted 800-m radius, 1-hr point-count surveys broken into 20-min segments, during 2 sampling periods in 3 areas within the Intermountain West of the United States over 2 consecutive breeding seasons during 2012 and 2013. Our goal was to measure the influence of different survey time intervals and sampling periods on detectability and use estimates of golden eagles among different locations. Our results suggest that a less intensive effort (i.e., survey duration shorter than 1 hr and point-count survey radii smaller than 800 m) would likely be inadequate for rigorous documentation of golden eagle occurrence pre- or postconstruction of wind energy facilities. Results from a simulation analysis of detection probabilities and survey effort suggest that greater temporal and spatial effort could make point-count surveys more applicable for evaluating golden eagle occurrence in survey areas; however, increased effort would increase financial costs associated with additional person-hours and logistics (e.g., fuel, lodging). Future surveys can benefit from a pilot study and careful consideration of prior information about counts or densities of golden eagles in the survey area before developing a survey design. If information is lacking, survey planning may be best served by assuming low detection rates and increasing the temporal and spatial effort.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.770","usgsCitation":"Skipper, B.R., Boal, C.W., Tsai, J., and Fuller, M.R., 2017, Assessment of frequency and duration of point counts when surveying for golden eagle presence: Wildlife Society Bulletin, v. 41, no. 2, p. 212-223, https://doi.org/10.1002/wsb.770.","productDescription":"12 p.","startPage":"212","endPage":"223","ipdsId":"IP-071585","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500010,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/2dd25880ab04403885071c8ff66f8f8a","text":"External Repository"},{"id":347445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, New Mexico, Wyoming","volume":"41","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-15","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbcf","contributors":{"authors":[{"text":"Skipper, Ben R.","contributorId":198462,"corporation":false,"usgs":false,"family":"Skipper","given":"Ben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tsai, Jo-Szu","contributorId":198463,"corporation":false,"usgs":false,"family":"Tsai","given":"Jo-Szu","email":"","affiliations":[],"preferred":false,"id":716140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":716141,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188835,"text":"70188835 - 2017 - Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited","interactions":[],"lastModifiedDate":"2017-06-26T12:53:22","indexId":"70188835","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited","docAbstract":"The growth and decay of ocean-island volcanoes are intrinsically linked to vertical movements. While the causes for subsidence are better understood, uplift mechanisms remain enigmatic. Santa Maria Island in the Azores Archipelago is an ocean-island volcano resting on top of young lithosphere, barely 480 km away from the Mid-Atlantic Ridge. Like most other Azorean islands, Santa Maria should be experiencing subsidence. Yet, several features indicate an uplift trend instead. In this paper, we reconstruct the evolutionary history of Santa Maria with respect to the timing and magnitude of its vertical movements, using detailed field work and 40Ar/39Ar geochronology. Our investigations revealed a complex evolutionary history spanning ∼6 m.y., with subsidence up to ca. 3.5 Ma followed by uplift extending to the present day. The fact that an island located in young lithosphere experienced a pronounced uplift trend is remarkable and raises important questions concerning possible uplift mechanisms. Localized uplift in response to the tectonic regime affecting the southeastern tip of the Azores Plateau is unlikely, since the area is under transtension. Our analysis shows that the only viable mechanism able to explain the uplift is crustal thickening by basal intrusions, suggesting that intrusive processes play a significant role even on islands standing on young lithosphere, such as in the Azores.
","language":"English","publisher":"The Geological Society of America","doi":"10.1130/B31538.1","usgsCitation":"Ramalho, R., Helffrich, G., Madeira, J., Cosca, M.A., Thomas, C., Quartau, R., Hipolito, A., Rovere, A., Hearty, P., and Avila, S., 2017, Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited: Geological Society of America Bulletin, v. 129, no. 3-4, p. 372-390, https://doi.org/10.1130/B31538.1.","productDescription":"19 p. ","startPage":"372","endPage":"390","ipdsId":"IP-078362","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469782,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1983/28e00a4d-8f0a-4130-a5e4-55a2d9e7193b","text":"External Repository"},{"id":342884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Santa Maria Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -25.45,\n 36.8\n ],\n [\n -24.85,\n 36.8\n ],\n [\n -24.85,\n 37.17\n ],\n [\n -25.45,\n 37.17\n ],\n [\n -25.45,\n 36.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"59521d1fe4b062508e3c3660","contributors":{"authors":[{"text":"Ramalho, Ricardo","contributorId":193475,"corporation":false,"usgs":false,"family":"Ramalho","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":700558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helffrich, George","contributorId":193476,"corporation":false,"usgs":false,"family":"Helffrich","given":"George","email":"","affiliations":[],"preferred":false,"id":700559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madeira, Jose","contributorId":193477,"corporation":false,"usgs":false,"family":"Madeira","given":"Jose","email":"","affiliations":[],"preferred":false,"id":700560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Christine","contributorId":193478,"corporation":false,"usgs":false,"family":"Thomas","given":"Christine","affiliations":[],"preferred":false,"id":700561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quartau, Rui","contributorId":193479,"corporation":false,"usgs":false,"family":"Quartau","given":"Rui","email":"","affiliations":[],"preferred":false,"id":700562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipolito, Ana","contributorId":193480,"corporation":false,"usgs":false,"family":"Hipolito","given":"Ana","email":"","affiliations":[],"preferred":false,"id":700563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rovere, Alessio","contributorId":193481,"corporation":false,"usgs":false,"family":"Rovere","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":700564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hearty, Paul","contributorId":193482,"corporation":false,"usgs":false,"family":"Hearty","given":"Paul","email":"","affiliations":[],"preferred":false,"id":700565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Avila, Sergio","contributorId":193483,"corporation":false,"usgs":false,"family":"Avila","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":700566,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70188896,"text":"70188896 - 2017 - Incipient motion of sand-oil agglomerates","interactions":[],"lastModifiedDate":"2017-06-27T13:05:47","indexId":"70188896","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incipient motion of sand-oil agglomerates","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Schippers, M.M., Jacobsen, N.G., Dalyander, P.S., Nelson, T., and McCall, R.T., 2017, Incipient motion of sand-oil agglomerates, in Proceedings of Coastal Dynamics 2017, p. 1290-1301.","productDescription":"12 p.","startPage":"1290","endPage":"1301","ipdsId":"IP-086009","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342927,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea6e4b062508e3c7a69","contributors":{"authors":[{"text":"Schippers, Melanie M. A.","contributorId":193617,"corporation":false,"usgs":false,"family":"Schippers","given":"Melanie","email":"","middleInitial":"M. A.","affiliations":[],"preferred":false,"id":701069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobsen, Niels G.","contributorId":193618,"corporation":false,"usgs":false,"family":"Jacobsen","given":"Niels","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":701070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":701071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":701072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192741,"text":"70192741 - 2017 - Aquatic ecosystems in a changing climate","interactions":[],"lastModifiedDate":"2017-11-17T11:17:56","indexId":"70192741","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic ecosystems in a changing climate","docAbstract":"Extreme climate events (ECEs) such as tropical storms and hurricanes, thunderstorms, heat waves, droughts, ice storms, and snow storms have increased and are projected to further increase in intensity and frequency across the world. These events are expected to have significant consequences for aquatic ecosystems with the potential for large changes in ecosystem processes, responses, and functions.
","language":"English","publisher":"AGU","doi":"10.1029/2017EO076549","usgsCitation":"Inamdar, S., Shanley, J.B., and McDowell, W.H., 2017, Aquatic ecosystems in a changing climate: Eos, Earth and Space Science News, v. 98, HTML Document, https://doi.org/10.1029/2017EO076549.","productDescription":"HTML Document","ipdsId":"IP-087301","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":469790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo076549","text":"Publisher Index Page"},{"id":349060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2353f","contributors":{"authors":[{"text":"Inamdar, Shreeram","contributorId":177337,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","affiliations":[],"preferred":false,"id":716802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","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":716801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192757,"text":"70192757 - 2017 - A physical model for extreme drought over southwest Asia","interactions":[],"lastModifiedDate":"2020-08-20T19:28:00.955021","indexId":"70192757","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"A physical model for extreme drought over southwest Asia","docAbstract":"The socioeconomic difficulties of southwest Asia, defined as the area bound by the domain 25°N–40°N and 40°E–70°E, are exacerbated by extreme precipitation deficits during the November–April rainy season. The precipitation deficits during many southwest Asia droughts have been examined in terms of the forcing by climate variability originating over the Pacific Ocean as a result of the El Niño–Southern Oscillation (ENSO), Pacific decadal variability (PDV), and the long-term warming of Pacific (LT) sea surface temperatures (SST). Here we examine how the most extreme November–April southwest Asia droughts relate to global SSTs and the associated large-scale atmospheric circulation anomalies and analyze the specific atmospheric forcing mechanisms responsible for changes in regional southwest Asian precipitation. The driest November–April seasons during 1948–2012 over southwest Asia are forced by subsidence and reductions of moisture fluxes as a result of the interaction of the mean flow with anomalous zonally symmetric high pressure throughout the Northern Hemisphere. The anomalous zonally symmetric high pressure throughout the Northern Hemisphere occurs simultaneously with cool central and eastern Pacific SST anomalies associated with La Niña and the negative phase of PDV and a warm west Pacific Ocean caused in part by the long-term warming of the west Pacific Ocean.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate extremes: Patterns and mechanisms","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781119068020.ch17","isbn":"978-1-119-06784-9","usgsCitation":"Hoell, A., Funk, C., Barlow, M., and Cannon, F., 2017, A physical model for extreme drought over southwest Asia, chap. 17 of Climate extremes: Patterns and mechanisms, p. 283-298, https://doi.org/10.1002/9781119068020.ch17.","productDescription":"16 p.","startPage":"283","endPage":"298","ipdsId":"IP-065852","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Asia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 38.232421875,\n 24.766784522874453\n ],\n [\n 71.279296875,\n 24.766784522874453\n ],\n [\n 71.279296875,\n 40.91351257612758\n ],\n [\n 38.232421875,\n 40.91351257612758\n ],\n [\n 38.232421875,\n 24.766784522874453\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2353c","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145805,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":716840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":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":716839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Mathew","contributorId":145834,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","affiliations":[{"id":16250,"text":"University of Massechusetts, Lowell","active":true,"usgs":false}],"preferred":false,"id":716841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Forrest","contributorId":198693,"corporation":false,"usgs":false,"family":"Cannon","given":"Forrest","email":"","affiliations":[],"preferred":false,"id":716842,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192735,"text":"70192735 - 2017 - A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","interactions":[],"lastModifiedDate":"2017-11-08T13:06:03","indexId":"70192735","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","docAbstract":"Rich fens are common boreal ecosystems with distinct hydrology, biogeochemistry and ecology that influence their carbon (C) balance. We present growing season soil chamber methane emission (FCH4), ecosystem respiration (ER), net ecosystem exchange (NEE) and gross primary production (GPP) fluxes from a 9-years water table manipulation experiment in an Alaskan rich fen. The study included major flood and drought years, where wetting and drying treatments further modified the severity of droughts. Results support previous findings from peatlands that drought causes reduced magnitude of growing season FCH4, GPP and NEE, thus reducing or reversing their C sink function. Experimentally exacerbated droughts further reduced the capacity for the fen to act as a C sink by causing shifts in vegetation and thus reducing magnitude of maximum growing season GPP in subsequent flood years by ~15% compared to control plots. Conversely, water table position had only a weak influence on ER, but dominant contribution to ER switched from autotrophic respiration in wet years to heterotrophic in dry years. Droughts did not cause inter-annual lag effects on ER in this rich fen, as has been observed in several nutrient-poor peatlands. While ER was dependent on soil temperatures at 2 cm depth, FCH4 was linked to soil temperatures at 25 cm. Inter-annual variability of deep soil temperatures was in turn dependent on wetness rather than air temperature, and higher FCH4 in flooded years was thus equally due to increased methane production at depth and decreased methane oxidation near the surface. Short-term fluctuations in wetness caused significant lag effects on FCH4, but droughts caused no inter-annual lag effects on FCH4. Our results show that frequency and severity of droughts and floods can have characteristic effects on the exchange of greenhouse gases, and emphasize the need to project future hydrological regimes in rich fens.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13612","usgsCitation":"Olefeldt, D., Euskirchen, E., Harden, J.W., Kane, E.S., McGuire, A.D., Waldrop, M.P., and Turetsky, M.R., 2017, A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability: Global Change Biology, v. 23, no. 6, p. 2428-2440, https://doi.org/10.1111/gcb.13612.","productDescription":"13 p.","startPage":"2428","endPage":"2440","ipdsId":"IP-075210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-31","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b45367","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":721161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":721163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":721165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":721166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192752,"text":"70192752 - 2017 - Harvest and group effects on pup survival in a cooperative breeder","interactions":[],"lastModifiedDate":"2017-11-08T12:53:18","indexId":"70192752","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Harvest and group effects on pup survival in a cooperative breeder","docAbstract":"Recruitment in cooperative breeders can be negatively affected by changes in group size and composition. The majority of cooperative breeding studies have not evaluated human harvest; therefore, the effects of recurring annual harvest and group characteristics on survival of young are poorly understood. We evaluated how harvest and groups affect pup survival using genetic sampling and pedigrees for grey wolves in North America. We hypothesized that harvest reduces pup survival because of (i) reduced group size, (ii) increased breeder turnover and/or (iii) reduced number of female helpers. Alternatively, harvest may increase pup survival possibly due to increased per capita food availability or it could be compensatory with other forms of mortality. Harvest appeared to be additive because it reduced both pup survival and group size. In addition to harvest, turnover of breeding males and the presence of older, non-breeding males also reduced pup survival. Large groups and breeder stability increased pup survival when there was harvest, however. Inferences about the effect of harvest on recruitment require knowledge of harvest rate of young as well as the indirect effects associated with changes in group size and composition, as we show. The number of young harvested is a poor measure of the effect of harvest on recruitment in cooperative breeders.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.0580","usgsCitation":"Ausband, D.E., Mitchell, M.S., Stansbury, C.R., Stenglein, J., and Waits, L.P., 2017, Harvest and group effects on pup survival in a cooperative breeder: Proceedings of the Royal Society B: Biological Sciences, v. 284, no. 1855, Article 20170580, https://doi.org/10.1098/rspb.2017.0580.","productDescription":"Article 20170580","ipdsId":"IP-076152","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.0580","text":"Publisher Index Page"},{"id":348448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1855","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5a0425b7e4b0dc0b45b45360","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":198687,"corporation":false,"usgs":false,"family":"Ausband","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stansbury, Carisa R.","contributorId":200150,"corporation":false,"usgs":false,"family":"Stansbury","given":"Carisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stenglein, Jennifer L.","contributorId":63146,"corporation":false,"usgs":true,"family":"Stenglein","given":"Jennifer L.","affiliations":[],"preferred":false,"id":721145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192634,"text":"70192634 - 2017 - Reflected stochastic differential equation models for constrained animal movement","interactions":[],"lastModifiedDate":"2018-02-14T14:17:57","indexId":"70192634","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Reflected stochastic differential equation models for constrained animal movement","docAbstract":"Movement for many animal species is constrained in space by barriers such as rivers, shorelines, or impassable cliffs. We develop an approach for modeling animal movement constrained in space by considering a class of constrained stochastic processes, reflected stochastic differential equations. Our approach generalizes existing methods for modeling unconstrained animal movement. We present methods for simulation and inference based on augmenting the constrained movement path with a latent unconstrained path and illustrate this augmentation with a simulation example and an analysis of telemetry data from a Steller sea lion (Eumatopias jubatus) in southeast Alaska.
","language":"English","publisher":"Springer","doi":"10.1101/152017","usgsCitation":"Hanks, E.M., Johnson, D., and Hooten, M., 2017, Reflected stochastic differential equation models for constrained animal movement: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 353-372, https://doi.org/10.1101/152017.","productDescription":"20 p.","startPage":"353","endPage":"372","ipdsId":"IP-083237","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/152017","text":"External Repository"},{"id":348557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.6259765625,\n 55.75803176823725\n ],\n [\n -132.82470703125,\n 55.75803176823725\n ],\n [\n -132.82470703125,\n 58.228596132481435\n ],\n [\n -136.6259765625,\n 58.228596132481435\n ],\n [\n -136.6259765625,\n 55.75803176823725\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c8611d","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178839,"text":"70178839 - 2017 - Guidelines for evaluation and treatment of lead poisoning of wild raptors","interactions":[],"lastModifiedDate":"2017-11-22T16:57:44","indexId":"70178839","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Guidelines for evaluation and treatment of lead poisoning of wild raptors","docAbstract":"Lead poisoning is a threat to birds, particularly scavenging birds of prey. With the availability of portable lead-testing kits, an increasing number of field researchers are testing wild-caught birds, in situ, for lead poisoning. We describe guidelines for evaluation of lead toxicity in wild raptors by outlining field testing of blood-lead concentrations, presenting criteria for removing a lead-poisoned bird from the wild for treatment, and suggesting strategies for effective treatment of lead intoxicated raptors. Field testing of birds is most commonly accomplished via portable electrochemical analysis of blood; visual observation of condition alone may provide insufficient evidence upon which to make a decision about lead poisoning. Our intended audience is not only the avian research community, but also rehabilitation facilities that may receive apparently uninjured birds. Best practices suggest that birds whose blood-lead levels are <40 μg/dL be released back to the wild as soon as possible after capture. The decision to release or treat birds with blood-lead levels between 40 μg/dL and 60 μg/dL should be made based on the presence of clinical signs of poisoning and relevant biological characteristics (e.g., breeding status). Finally, birds with blood-lead levels >60 μg/dL are potentially lethally poisoned and best served if removed from the wild for appropriate treatment at a licensed rehabilitation facility and later released. We present guidelines for decision-making when treating lead poisoning of wild raptors. Future work based on experimental studies will clarify the role of lead poisoning for specific species and be important to refine these guidelines to improve effectiveness.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.762","usgsCitation":"Fallon, J.A., Redig, P., Miller, T., Lanzone, M., and Katzner, T.E., 2017, Guidelines for evaluation and treatment of lead poisoning of wild raptors: Wildlife Society Bulletin, v. 41, no. 2, p. 205-211, https://doi.org/10.1002/wsb.762.","productDescription":"7 p.","startPage":"205","endPage":"211","ipdsId":"IP-060066","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499881,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/f32edd4a088c4af3b5e65649dd7f67fb","text":"External Repository"},{"id":345867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-14","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4737","contributors":{"authors":[{"text":"Fallon, Jesse A.","contributorId":177315,"corporation":false,"usgs":false,"family":"Fallon","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Redig, Patrick","contributorId":177316,"corporation":false,"usgs":false,"family":"Redig","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":710738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Tricia A.","contributorId":64790,"corporation":false,"usgs":true,"family":"Miller","given":"Tricia A.","affiliations":[],"preferred":false,"id":710739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":710740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191909,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd","email":"tkatzner@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":710741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192220,"text":"70192220 - 2017 - Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States","interactions":[],"lastModifiedDate":"2017-10-24T12:55:07","indexId":"70192220","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States","docAbstract":"Fallout radionuclides, 7Be and 210Pbex, sampled in bed sediment for 99 watersheds in the Midwestern region of the United States and in 15 samples of suspended sediment from 3 of these watersheds were used to partition upland from channel sources and to estimate the age or the time since the surface-derived portion of sediment was on the land surface (0–∼1 year). Channel sources dominate: 78 of the 99 bed material sites (79%) have >50% channel-derived sediment, and 9 of the 15 suspended-sediment samples (60%) have >50% channel-derived sediment. 7Be was detected in 82 bed sediment samples and all 15 suspended-sediment samples. The surface-derived portion of 54 of the 80 (68%) streams with detectable 7Be and 210Pbex were ≤ 100 days old and the surface-derived portion of all suspended-sediment samples were ≤ 100 days old, indicating that surface-derived fine-grained sediment moves rapidly though these systems. The concentrations of two hydrophobic pesticides–DDE and bifenthrin–are correlated with the proportion of surface-derived sediment, indicating a link between geomorphic processes and particle-associated contaminants in streams. Urban areas had the highest pesticide concentrations and the largest percentage of surface-derived sediment. Although the percentage of surface-derived sediment is less than channel sources at most of the study sites, the relatively young age of the surface-derived sediment might indicate that management actions to reduce sediment contamination where the land surface is an important source could have noticeable effects.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.018","usgsCitation":"Gellis, A.C., Fuller, C.C., and Van Metre, P., 2017, Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States: Journal of Environmental Management, v. 194, p. 73-85, https://doi.org/10.1016/j.jenvman.2016.06.018.","productDescription":"13 p.","startPage":"73","endPage":"85","ipdsId":"IP-072072","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":488722,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.06.018","text":"Publisher Index Page"},{"id":438324,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7542KP9","text":"USGS data release","linkHelpText":"Radionuclide and Pesticide data for sediment age and source analysis in the Midwest Stream-Quality Assessment Region 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ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":197363,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science 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mobile genetic elements","docAbstract":"The impact of a structured environment on genome evolution can be determined through comparative population genomics of species that live in the same habitat. Recent work comparing three genome sequences of Sulfolobus acidocaldarius suggested that highly structured, extreme, hot spring environments do not limit dispersal of this thermoacidophile, in contrast to other co-occurring Sulfolobus species. Instead, a high level of conservation among these three S. acidocaldarius genomes was hypothesized to result from rapid, global-scale dispersal promoted by low susceptibility to viruses that sets S. acidocaldarius apart from its sister Sulfolobus species. To test this hypothesis, we conducted a comparative analysis of 47 genomes of S. acidocaldarius from spatial and temporal sampling of two hot springs in Yellowstone National Park. While we confirm the low diversity in the core genome, we observe differentiation among S. acidocaldarius populations, likely resulting from low migration among hot spring “islands” in Yellowstone National Park. Patterns of genomic variation indicate that differing geological contexts result in the elimination or preservation of diversity among differentiated populations. We observe multiple deletions associated with a large genomic island rich in glycosyltransferases, differential integrations of the Sulfolobus turreted icosahedral virus, as well as two different plasmid elements. These data demonstrate that neither rapid dispersal nor lack of mobile genetic elements result in low diversity in the S. acidocaldariusgenomes. We suggest instead that significant differences in the recent evolutionary history, or the intrinsic evolutionary rates, of sister Sulfolobusspecies result in the relatively low diversity of the S. acidocaldarius genome.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evx104","usgsCitation":"Anderson, R.E., Kouris, A., Seward, C.H., Campbell, K.M., and Whitaker, R.J., 2017, Structured populations of Sulfolobus acidocaldarius with susceptibility to mobile genetic elements: Genome Biology and Evolution, v. 9, no. 6, p. 1699-1710, https://doi.org/10.1093/gbe/evx104.","productDescription":"12 p.","startPage":"1699","endPage":"1710","ipdsId":"IP-075290","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evx104","text":"Publisher Index Page"},{"id":347225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d90","contributors":{"authors":[{"text":"Anderson, Rika E.","contributorId":195624,"corporation":false,"usgs":false,"family":"Anderson","given":"Rika","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kouris, Angela","contributorId":195622,"corporation":false,"usgs":false,"family":"Kouris","given":"Angela","email":"","affiliations":[],"preferred":false,"id":714895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seward, Christopher H.","contributorId":198039,"corporation":false,"usgs":false,"family":"Seward","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":714893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitaker, Rachel J.","contributorId":195625,"corporation":false,"usgs":false,"family":"Whitaker","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714897,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191458,"text":"70191458 - 2017 - A multistate dynamic site occupancy model for spatially aggregated sessile communities","interactions":[],"lastModifiedDate":"2017-10-13T11:02:14","indexId":"70191458","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A multistate dynamic site occupancy model for spatially aggregated sessile communities","docAbstract":"The 3 September 2016 Mw 5.8 Pawnee earthquake in northern Oklahoma is the largest earthquake ever recorded in Oklahoma. The coseismic deformation was measured with both Interferometric Synthetic Aperture Radar and Global Positioning System (GPS), with measureable signals of order 1 cm and 1 mm, respectively. We derive a coseismic slip model from Sentinel‐1A and Radarsat 2 interferograms and GPS static offsets, dominated by distributed left‐lateral strike slip on a primary west‐northwest–east‐southeast‐trending subvertical plane, whereas strike slip is concentrated near the hypocenter (5.6 km depth), with maximum slip of ∼1 m located slightly east and down‐dip of the hypocenter. Based on systematic misfits of observed interferogram line‐of‐sight (LoS) displacements, with LoS based on shear‐dislocation models, a few decimeters of fault‐zone collapse are inferred in the hypocentral region where coseismic slip was the largest. This may represent the postseismic migration of large volumes of fluid away from the high‐slip areas, made possible by the creation of a temporary high‐permeability damage zone around the fault.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170002","usgsCitation":"Pollitz, F., Wicks, C., Schoenball, M., Ellsworth, W.L., and Murray, M., 2017, Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse: Seismological Research Letters, v. 88, no. 4, p. 983-993, https://doi.org/10.1785/0220170002.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-082300","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Pawnee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.5,\n 35.75\n ],\n [\n -95.5,\n 35.75\n ],\n [\n -95.5,\n 37\n ],\n [\n -97.5,\n 37\n ],\n [\n -97.5,\n 35.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a3","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":713104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Mark","contributorId":197272,"corporation":false,"usgs":false,"family":"Murray","given":"Mark","affiliations":[],"preferred":false,"id":713107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188879,"text":"70188879 - 2017 - Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","interactions":[],"lastModifiedDate":"2017-06-27T09:49:15","indexId":"70188879","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","docAbstract":"Adsorption using activated alumina is a simple method for removing fluoride from drinking water, but to be cost effective the adsorption capacity must be high and effective long-term. The intent of this study was to assess changes in its adsorption capacity under varied conditions. This was determined by evaluating the physico-chemical properties, surface charge, and fluoride (F−) adsorption capacity and rate of activated alumina under conditions such as hydration period, particle size, and slow vs. fast titrations. X-ray diffraction and scanning electron microscopy analyses show that the mineralogy of activated alumina transformed to boehmite, then bayerite with hydration period and a corresponding reduction in adsorption capacity was expected; while surface area analyses show no notable changes with hydration period or particle size. The pH dependent surface charge was three times higher using slow potentiometric titrations as compared to fast titrations (due largely to diffusion into pore space), with the surface acidity generally unaffected by hydration period. Results from batch adsorption experiments similarly show no change in fluoride adsorption capacity with hydration period. There was also no notable difference in fluoride adsorption capacity between the particle size ranges of 0.5–1.0 mm and 0.125–0.250 mm, or with hydration period. However, adsorption rate increased dramatically with the finer particle sizes: at an initial F− concentration of 0.53 mmol L−1 (10 mg L−1), 90% was adsorbed in the 0.125–0.250 mm range after 1 h, while the 0.5–1.0 mm range required 24 h to achieve 90% adsorption. Also, the pseudo-second-order adsorption rate constants for the finer vs. larger particle sizes were 3.7 and 0.5 g per mmol F− per min respectively (24 h); and the initial intraparticle diffusion rate of the former was 2.6 times faster than the latter. The results show that adsorption capacity of activated alumina remains consistent and high under the conditions evaluated in this study, but in order to increase adsorption rate, a relatively fine particle size is recommended.
The aerodynamic roughness length (Z0 m) serves an important role in the flux exchange between the land surface and atmosphere. In this study, airborne lidar (ALS), terrestrial lidar (TLS), and imaging spectroscopy data were integrated to develop and test two approaches to estimate Z0 m over a shrub dominated dryland study area in south-central Idaho, USA. Sensitivity of the two parameterization methods to estimate Z0 m was analyzed. The comparison of eddy covariance-derived Z0 m and remote sensing-derived Z0 m showed that the accuracy of the estimated Z0 m heavily depends on the estimation model and the representation of shrub (e.g., Artemisia tridentata subsp. wyomingensis) height in the models. The geometrical method (RA1994) led to 9 percent (~0.5 cm) and 25% (~1.1 cm) errors at site 1 and site 2, respectively, which performed better than the height variability-based method (MR1994) with bias error of 20 percent and 48 percent at site 1 and site 2, respectively. The RA1994 model resulted in a larger range of Z0 m than the MR1994 method. We also found that the mean, median and 75th percentiles of heights (H75) from ALS provides the best Z0 m estimates in the MR1994 model, while the mean, median, and MLD (Median Absolute Deviation from Median Height), as well as AAD (Mean Absolute Deviation from Mean Height) heights from ALS provides the best Z0 m estimates in the RA1994 model. In addition, the fractional cover of shrub and grass, distinguished with ALS and imaging spectroscopy data, provided the opportunity to estimate the frontal area index at the pixel-level to assess the influence of grass and shrub on Z0m estimates in the RA1994 method. Results indicate that grass had little effect on Z0 m in the RA1994 method. The Z0 m estimations were tightly coupled with vegetation height and its local variance for the shrubs. Overall, the results demonstrate that the use of height and fractional cover from remote sensing data are promising for estimating Z0 m, and thus refining land surface models at regional scales in semiarid shrublands.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.83.6.415","usgsCitation":"Li, A., Zhao, W., Mitchell, J., Glenn, N.F., Germino, M., Sankey, J.B., and Allen, R.M., 2017, Aerodynamic roughness length estimation with lidar and imaging spectroscopy in a shrub-dominated dryland: Photogrammetric Engineering and Remote Sensing, v. 83, no. 6, p. 415-427, https://doi.org/10.14358/PERS.83.6.415.","productDescription":"13 p.","startPage":"415","endPage":"427","ipdsId":"IP-080636","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.83.6.415","text":"Publisher Index Page"},{"id":344452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.90576171874999,\n 42.09822241118974\n ],\n [\n -112.1044921875,\n 42.09822241118974\n ],\n [\n -112.1044921875,\n 44.315987905196906\n ],\n [\n -115.90576171874999,\n 44.315987905196906\n ],\n [\n -115.90576171874999,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59804199e4b0a38ca2789336","contributors":{"authors":[{"text":"Li, Aihua","contributorId":169445,"corporation":false,"usgs":false,"family":"Li","given":"Aihua","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":706603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Wenguang","contributorId":195243,"corporation":false,"usgs":false,"family":"Zhao","given":"Wenguang","email":"","affiliations":[],"preferred":false,"id":706607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Jessica J","contributorId":195242,"corporation":false,"usgs":false,"family":"Mitchell","given":"Jessica J","affiliations":[],"preferred":false,"id":706605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Nancy F.","contributorId":195241,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":706604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","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":706602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Richard M.","contributorId":195244,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192187,"text":"70192187 - 2017 - Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","interactions":[],"lastModifiedDate":"2017-10-23T13:41:14","indexId":"70192187","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","docAbstract":"The degree to which cloud immersion provides water in addition to rainfall, suppresses transpiration, and sustains tropical montane cloud forests (TMCFs) during rainless periods is not well understood. Climate and land use changes represent a threat to these forests if cloud base altitude rises as a result of regional warming or deforestation. To establish a baseline for quantifying future changes in cloud base, we installed a ceilometer at 100 m altitude in the forest upwind of the TMCF that occupies an altitude range from ∼ 600 m to the peaks at 1100 m in the Luquillo Mountains of eastern Puerto Rico. Airport Automated Surface Observing System (ASOS) ceilometer data, radiosonde data, and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite data were obtained to investigate seasonal cloud base dynamics, altitude of the trade-wind inversion (TWI), and typical cloud thickness for the surrounding Caribbean region. Cloud base is rarely quantified near mountains, so these results represent a first look at seasonal and diurnal cloud base dynamics for the TMCF. From May 2013 to August 2016, cloud base was lowest during the midsummer dry season, and cloud bases were lower than the mountaintops as often in the winter dry season as in the wet seasons. The lowest cloud bases most frequently occurred at higher elevation than 600 m, from 740 to 964 m. The Luquillo forest low cloud base altitudes were higher than six other sites in the Caribbean by ∼ 200–600 m, highlighting the importance of site selection to measure topographic influence on cloud height. Proximity to the oceanic cloud system where shallow cumulus clouds are seasonally invariant in altitude and cover, along with local trade-wind orographic lifting and cloud formation, may explain the dry season low clouds. The results indicate that climate change threats to low-elevation TMCFs are not limited to the dry season; changes in synoptic-scale weather patterns that increase frequency of drought periods during the wet seasons (periods of higher cloud base) may also impact ecosystem health.
","language":"English","publisher":"European Geophysical Union","doi":"10.5194/acp-17-7245-2017","usgsCitation":"Van Beusekom, A.E., Gonzalez, G., and Scholl, M.A., 2017, Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change: Atmospheric Chemistry and Physics, v. 17, no. 11, p. 7245-7259, https://doi.org/10.5194/acp-17-7245-2017.","productDescription":"15 p.","startPage":"7245","endPage":"7259","ipdsId":"IP-084476","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-17-7245-2017","text":"Publisher Index Page"},{"id":347125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Luquillo Mountains, Puerto Rico","volume":"17","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988f9c","contributors":{"authors":[{"text":"Van Beusekom, Ashley E.","contributorId":197950,"corporation":false,"usgs":false,"family":"Van Beusekom","given":"Ashley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":714641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190739,"text":"70190739 - 2017 - Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA","interactions":[],"lastModifiedDate":"2017-09-13T15:42:25","indexId":"70190739","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA","docAbstract":"Erodibility of cohesive sediment in the Sacramento-San Joaquin River Delta (Delta) was investigated with an erosion microcosm. Erosion depths in the Delta and in the microcosm were estimated to be about one floc diameter over a range of shear stresses and times comparable to half of a typical tidal cycle. Using the conventional assumption of horizontally homogeneous bed sediment, data from 27 of 34 microcosm experiments indicate that the erosion rate coefficient increased as eroded mass increased, contrary to theory. We believe that small erosion depths, erosion rate coefficient deviation from theory, and visual observation of horizontally varying biota and texture at the sediment surface indicate that erosion cannot solely be a function of depth but must also vary horizontally. We test this hypothesis by developing a simple numerical model that includes horizontal heterogeneity, use it to develop an artificial time series of suspended-sediment concentration (SSC) in an erosion microcosm, then analyze that time series assuming horizontal homogeneity. A shear vane was used to estimate that the horizontal standard deviation of critical shear stress was about 30% of the mean value at a site in the Delta. The numerical model of the erosion microcosm included a normal distribution of initial critical shear stress, a linear increase in critical shear stress with eroded mass, an exponential decrease of erosion rate coefficient with eroded mass, and a stepped increase in applied shear stress. The maximum SSC for each step increased gradually, thus confounding identification of a single well-defined critical shear stress as encountered with the empirical data. Analysis of the artificial SSC time series with the assumption of a homogeneous bed reproduced the original profile of critical shear stress, but the erosion rate coefficient increased with eroded mass, similar to the empirical data. Thus, the numerical experiment confirms the small-depth erosion hypothesis. A linear model of critical shear stress and eroded mass is proposed to simulate small-depth erosion, assuming that the applied and critical shear stresses quickly reach equilibrium.
","language":"English","publisher":"Springer","doi":"10.1007/s10236-017-1047-2","usgsCitation":"Schoellhamer, D., Manning, A.J., and Work, P.A., 2017, Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA: Ocean Dynamics, v. 67, no. 6, p. 799-811, https://doi.org/10.1007/s10236-017-1047-2.","productDescription":"13 p.","startPage":"799","endPage":"811","ipdsId":"IP-053622","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":461533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10236-017-1047-2","text":"Publisher Index Page"},{"id":345708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.08007812499999,\n 37.79676317682161\n ],\n [\n -121.27670288085938,\n 37.79676317682161\n ],\n [\n -121.27670288085938,\n 38.36211833953394\n ],\n [\n -122.08007812499999,\n 38.36211833953394\n ],\n [\n -122.08007812499999,\n 37.79676317682161\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59ba43b9e4b091459a5629ba","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew J.","contributorId":175079,"corporation":false,"usgs":false,"family":"Manning","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191032,"text":"70191032 - 2017 - Behavioral responses of Pacific lamprey to alarm cues","interactions":[],"lastModifiedDate":"2017-09-25T12:13:54","indexId":"70191032","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral responses of Pacific lamprey to alarm cues","docAbstract":"Pacific lamprey (Entosphenus tridentatus), an anadromous ectoparasite, faces several challenges during adult migration to spawning grounds. Developing methods to address these challenges is critical to the success of ongoing conservation efforts. The challenges are diverse, and include anthropogenic alterations to the ecosystem resulting in loss of habitat, impassable barriers such as dams, climate change impacts, and altered predator fields. We conducted a behavioral study to understand how adult migrating Pacific lamprey respond to potential alarm cues: White Sturgeon (Acipenser transmontanus), human saliva, decayed Pacific lamprey, and river otter (Lontra canadensis). Research has shown that some species of lamprey can be guided to a location using odors and similar cues may be useful as a management tool for Pacific lamprey. Experiments were conducted over 2 nights and measured the number of entries (count) and duration of time spent (occupancy) by adult lamprey in each arm of a two-choice maze. During the first night, no odor was added to test for selection bias between arms. During the second night odor was added to one arm of the maze. Contrary to expectations, lamprey were significantly attracted to the river otter odor in both count and occupancy. No significant differences were found in the response of lamprey to the other three odors. Results from this study indicate that Pacific lamprey do respond to some odors; however, additional tests are necessary to better identify the types of odors and concentrations that elicit a repeatable response.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/042016-JWFM-033","usgsCitation":"Porter, L.L., Hayes, M.C., Jackson, A.D., Burke, B.J., Moser, M.L., and Wagner, R.S., 2017, Behavioral responses of Pacific lamprey to alarm cues: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 101-113, https://doi.org/10.3996/042016-JWFM-033.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-073451","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469798,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3996/042016-jwfm-033","text":"External Repository"},{"id":346053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Walla Walla River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.9649658203125,\n 45.4524242413431\n ],\n [\n -118.0645751953125,\n 45.4524242413431\n ],\n [\n -118.0645751953125,\n 46.57774276255591\n ],\n [\n -120.9649658203125,\n 46.57774276255591\n ],\n [\n -120.9649658203125,\n 45.4524242413431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"59ca15aee4b017cf314041c6","contributors":{"authors":[{"text":"Porter, Laurie L.","contributorId":196654,"corporation":false,"usgs":false,"family":"Porter","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":711025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":711024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Aaron D.","contributorId":196655,"corporation":false,"usgs":false,"family":"Jackson","given":"Aaron","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Brian J.","contributorId":196656,"corporation":false,"usgs":false,"family":"Burke","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":711028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, R. Steven","contributorId":196657,"corporation":false,"usgs":false,"family":"Wagner","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":711029,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194726,"text":"70194726 - 2017 - A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans","interactions":[],"lastModifiedDate":"2017-12-14T12:25:54","indexId":"70194726","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2484,"text":"Journal of Toxicology and Environmental Health, Part B: Critical Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans","docAbstract":"The compound BMAA (β-N-methylamino-L-alanine) has been postulated to play a significant role in four serious neurological human diseases: Amyotrophic Lateral Sclerosis/Parkinsonism Dementia Complex (ALS/PDC) found on Guam, and ALS, Parkinsonism, and dementia that occur globally. ALS/PDC with symptoms of all three diseases first came to the attention of the scientific community during and after World War II. It was initially associated with cycad flour used for food because BMAA is a product of symbiotic cycad root-dwelling cyanobacteria. Human consumption of flying foxes that fed on cycad seeds was later suggested as a source of BMAA on Guam and a cause of ALS/PDC. Subsequently, the hypothesis was expanded to include a causative role for BMAA in other neurodegenerative diseases including Alzheimer’s disease (AD) through exposures attributed to proximity to freshwaters and/or consumption of seafood due to its purported production by most species of cyanobacteria. The hypothesis that BMAA is the critical factor in the genesis of these neurodegenerative diseases received considerable attention in the medical, scientific, and public arenas. This review examines the history of ALS/PDC and the BMAA-human disease hypotheses; similarities and differences between ALS/PDC and the other diseases with similar symptomologies; the relationship of ALS/PDC to other similar diseases, studies of BMAA-mediated effects in lab animals, inconsistencies and data gaps in the hypothesis; and other compounds and agents that were suggested as the cause of ALS/PDC on Guam. The review concludes that the hypothesis of a causal BMAA neurodegenerative disease relationship is not supported by existing data.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10937404.2017.1297592","usgsCitation":"Chernoff, N., Hill, D.J., Diggs, D.L., Faison, B.D., Francis, B.M., Lang, J.R., Larue, M.M., Le, T., Loftin, K.A., Lugo, J.N., Schmid, J.E., and Winnik, W.W., 2017, A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans: Journal of Toxicology and Environmental Health, Part B: Critical Reviews, v. 20, no. 4, p. 183-229, https://doi.org/10.1080/10937404.2017.1297592.","productDescription":"47 p.","startPage":"183","endPage":"229","ipdsId":"IP-085335","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":469809,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6503681","text":"External Repository"},{"id":349986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-09","publicationStatus":"PW","scienceBaseUri":"5a60fbbce4b06e28e9c2351d","contributors":{"authors":[{"text":"Chernoff, Neil","contributorId":25859,"corporation":false,"usgs":true,"family":"Chernoff","given":"Neil","email":"","affiliations":[],"preferred":false,"id":725024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, D. J.","contributorId":147377,"corporation":false,"usgs":false,"family":"Hill","given":"D.","email":"","middleInitial":"J.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":725025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diggs, D. L.","contributorId":201338,"corporation":false,"usgs":false,"family":"Diggs","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":725026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faison, B. D.","contributorId":201339,"corporation":false,"usgs":false,"family":"Faison","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":725027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Francis, B. M.","contributorId":201340,"corporation":false,"usgs":false,"family":"Francis","given":"B.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lang, J. R.","contributorId":201341,"corporation":false,"usgs":false,"family":"Lang","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":725029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larue, M. M.","contributorId":201342,"corporation":false,"usgs":false,"family":"Larue","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le, T.-T.","contributorId":201343,"corporation":false,"usgs":false,"family":"Le","given":"T.-T.","email":"","affiliations":[],"preferred":false,"id":725031,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":725023,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lugo, J. N.","contributorId":201344,"corporation":false,"usgs":false,"family":"Lugo","given":"J.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":725032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schmid, J. E.","contributorId":201345,"corporation":false,"usgs":false,"family":"Schmid","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winnik, W. W.","contributorId":201346,"corporation":false,"usgs":false,"family":"Winnik","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193276,"text":"70193276 - 2017 - Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-11-11T15:17:58","indexId":"70193276","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico","docAbstract":"During breeding, foraging marine birds are under biological, geographic, and temporal constraints. These contraints require foraging birds to efficiently process environmental cues derived from physical habitat features that occur at nested spatial scales. Mesoscale oceanography in particular may change rapidly within and between breeding seasons, and findings from well-studied systems that relate oceanography to seabird foraging may transfer poorly to regions with substantially different oceanographic conditions. Our objective was to examine foraging behavior of a pan-tropical seabird, the Masked Booby (Sula dactylatra), in the understudied Caribbean province, a moderately productive region driven by highly dynamic currents and fronts. We tracked 135 individuals with GPS units during May 2013, November 2013, and December 2014 at a regionally important breeding colony in the southern Gulf of Mexico. We measured foraging behavior using characteristics of foraging trips and used area restricted search as a proxy for foraging events. Among individual attributes, nest stage contributed to differences in foraging behavior whereas sex did not. Birds searched for prey at nested hierarchical scales ranging from 200 m—35 km. Large-scale coastal and shelf-slope fronts shifted position between sampling periods and overlapped geographically with overall foraging locations. At small scales (at the prey patch level), the specific relationship between environmental variables and foraging behavior was highly variable among individuals but general patterns emerged. Sea surface height anomaly and velocity of water were the strongest predictors of area restricted search behavior in random forest models, a finding that is consistent with the characterization of the Gulf of Mexico as an energetic system strongly influenced by currents and eddies. Our data may be combined with tracking efforts in the Caribbean province and across tropical regions to advance understanding of seabird sensing of the environment and serve as a baseline for anthropogenic based threats such as development, pollution, and commercial fisheries.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0178318","usgsCitation":"Poli, C.L., Harrison, A., Vallarino, A., Gerard, P.D., and Jodice, P.G., 2017, Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico: PLoS ONE, v. 12, no. 6, Article e0178318; 24 p., https://doi.org/10.1371/journal.pone.0178318.","productDescription":"Article e0178318; 24 p.","ipdsId":"IP-079143","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0178318","text":"Publisher Index Page"},{"id":348611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Gulf of Mexico, Isla Muertos","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.83932495117188,\n 22.328481987166487\n ],\n [\n -89.57290649414062,\n 22.328481987166487\n ],\n [\n -89.57290649414062,\n 22.590556292249634\n ],\n [\n -89.83932495117188,\n 22.590556292249634\n ],\n [\n -89.83932495117188,\n 22.328481987166487\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-02","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb9","contributors":{"authors":[{"text":"Poli, Caroline L.","contributorId":199252,"corporation":false,"usgs":false,"family":"Poli","given":"Caroline","email":"","middleInitial":"L.","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false},{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false}],"preferred":false,"id":718501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Autumn-Lynn","contributorId":199253,"corporation":false,"usgs":false,"family":"Harrison","given":"Autumn-Lynn","email":"","affiliations":[{"id":17600,"text":"Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":718502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallarino, Adriana","contributorId":199254,"corporation":false,"usgs":false,"family":"Vallarino","given":"Adriana","email":"","affiliations":[{"id":35488,"text":"Centro de Investigacion y de Estudios Unidad Merida","active":true,"usgs":false}],"preferred":false,"id":718503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, Patrick D.","contributorId":199255,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false}],"preferred":false,"id":718504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":718500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193272,"text":"70193272 - 2017 - Lizard activity and abundance greater in burned habitat of a xeric montane forest","interactions":[],"lastModifiedDate":"2017-11-20T14:04:08","indexId":"70193272","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Lizard activity and abundance greater in burned habitat of a xeric montane forest","docAbstract":"Restoring the natural or historical state of ecosystems is a common objective among resource managers, but determining whether desired system responses to management actions are occurring is often protracted and challenging. For wildlife, the integration of mechanistic habitat modeling with population monitoring may provide expedited measures of management effectiveness and improve understanding of how management actions succeed or fail to recover populations. Southern Appalachia is a region of high biodiversity that has undergone dramatic change as a result of human activities such as historic logging, exotic invasions, and alteration of disturbance regimes—including reduction in application of fire. Contemporary efforts to restore fire-maintained ecosystems within southern Appalachian forests require tools to assess the effects of fire management practices on individual animal fitness and relate them to corresponding influences on species abundance. Using automated sensing equipment, we investigated the effects of burned forests on reptile habitat suitability within the western portion of Great Smoky Mountains National Park, Tennessee. Specifically, we used microclimate measurements to model northern fence lizard Sceloporus undulatus hyacinthinus diurnal activity budgets in unburned and variable burn age (3–27-y) forest stands. We estimated northern fence lizard occurrence and abundance along transects through burned and unburned forests. Burned forest stands had microclimates that resulted in longer modeled daily activity periods under most conditions during summer. S. undulatus abundance was 4.75 times greater on burned stands compared to paired unburned stands, although the relationship between burn age and abundance was not well determined. Results suggest the more open habitat structure of burned areas within these xeric pine–oak forests may benefit S. undulatus.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/042016-JFWM-031","usgsCitation":"Fouts, K.L., Moore, C.T., Johnson, K.D., and Maerz, J.C., 2017, Lizard activity and abundance greater in burned habitat of a xeric montane forest: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 181-192, https://doi.org/10.3996/042016-JFWM-031.","productDescription":"12 p.","startPage":"181","endPage":"192","ipdsId":"IP-070416","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042016-jfwm-031","text":"Publisher Index Page"},{"id":349144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennesee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.99940490722656,\n 35.46458483260959\n ],\n [\n -83.62037658691406,\n 35.46458483260959\n ],\n [\n -83.62037658691406,\n 35.72477505905892\n ],\n [\n -83.99940490722656,\n 35.72477505905892\n ],\n [\n -83.99940490722656,\n 35.46458483260959\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c23535","contributors":{"authors":[{"text":"Fouts, Kevin L.","contributorId":199244,"corporation":false,"usgs":false,"family":"Fouts","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":718488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Kristine D.","contributorId":168716,"corporation":false,"usgs":false,"family":"Johnson","given":"Kristine","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":718489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":718490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193288,"text":"70193288 - 2017 - Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method ","interactions":[],"lastModifiedDate":"2017-12-11T13:10:19","indexId":"70193288","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method ","docAbstract":"Coastal hydrodynamics can be greatly affected by the presence of submerged aquatic vegetation. The effect of vegetation has been incorporated into the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System. The vegetation implementation includes the plant-induced three-dimensional drag, in-canopy wave-induced streaming, and the production of turbulent kinetic energy by the presence of vegetation. In this study, we evaluate the sensitivity of the flow and wave dynamics to vegetation parameters using Sobol' indices and a least squares polynomial approach referred to as Effective Quadratures method. This method reduces the number of simulations needed for evaluating Sobol' indices and provides a robust, practical, and efficient approach for the parameter sensitivity analysis. The evaluation of Sobol' indices shows that kinetic energy, turbulent kinetic energy, and water level changes are affected by plant density, height, and to a certain degree, diameter. Wave dissipation is mostly dependent on the variation in plant density. Performing sensitivity analyses for the vegetation module in COAWST provides guidance for future observational and modeling work to optimize efforts and reduce exploration of parameter space.
","language":"English","publisher":"EGU","doi":"10.5194/gmd-2017-107","usgsCitation":"Kalra, T., Aretxabaleta, A., Seshadri, P., Ganju, N., and Beudin, A., 2017, Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method : Geoscientific Model Development, v. 10, p. 4511-4523, https://doi.org/10.5194/gmd-2017-107.","productDescription":"13 p.","startPage":"4511","endPage":"4523","ipdsId":"IP-088722","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-2017-107","text":"Publisher Index Page"},{"id":348613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb7","contributors":{"authors":[{"text":"Kalra, Tarandeep S. 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":178820,"corporation":false,"usgs":true,"family":"Kalra","given":"Tarandeep S.","email":"tkalra@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":718555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":718556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seshadri, Pranay","contributorId":199287,"corporation":false,"usgs":false,"family":"Seshadri","given":"Pranay","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":718558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":718559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beudin, Alexis 0000-0001-9525-9450 abeudin@usgs.gov","orcid":"https://orcid.org/0000-0001-9525-9450","contributorId":178819,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","email":"abeudin@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":721678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}