{"pageNumber":"1521","pageRowStart":"38000","pageSize":"25","recordCount":184617,"records":[{"id":70073701,"text":"70073701 - 2013 - Enriquillo–Plantain Garden fault zone in Jamaica: paleoseismology and seismic hazard","interactions":[],"lastModifiedDate":"2014-01-21T16:07:45","indexId":"70073701","displayToPublicDate":"2013-04-16T15:48:00","publicationYear":"2013","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":"Enriquillo–Plantain Garden fault zone in Jamaica: paleoseismology and seismic hazard","docAbstract":"The countries of Jamaica, Haiti, and the Dominican Republic all straddle the Enriquillo–Plantain Garden fault zone ( EPGFZ), a major left-lateral, strike-slip fault system bounding the Caribbean and North American plates. Past large earthquakes that destroyed the capital cities of Kingston, Jamaica (1692, 1907), and Port-au-Prince, Haiti (1751, 1770), as well as the 2010 Haiti earthquake that killed more than 50,000 people, have heightened awareness of seismic hazards in the northern Caribbean. We present here new geomorphic and paleoseismic information bearing on the location and relative activity of the  EPGFZ, which marks the plate boundary in Jamaica. Documentation of a river bank exposure and several trenches indicate that this fault is active and has the potential to cause major destructive earthquakes in Jamaica. The results suggest that the fault has not ruptured the surface in at least 500 yr and possibly as long as 28 ka. The long period of quiescence and subdued geomorphic expression of the  EPGFZ indicates that it may only accommodate part of the ∼7–9 mm=yr plate deformation rate measured geodetically and that slip may be partitioned on other undocumented faults. Large uncertainties related to the neotectonic framework of Jamaica remain and more detailed fault characterization studies are necessary to accurately assess seismic hazards.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120215","usgsCitation":"Koehler, R., Mann, P., Prentice, C.S., Brown, L., Benford, B., and Grandison-Wiggins, M., 2013, Enriquillo–Plantain Garden fault zone in Jamaica: paleoseismology and seismic hazard: Bulletin of the Seismological Society of America, v. 103, no. 2A, p. 971-983, https://doi.org/10.1785/0120120215.","productDescription":"12 p.","startPage":"971","endPage":"983","ipdsId":"IP-027596","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":281353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120215"}],"country":"Jamaica","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.5792,17.509 ], [ -78.5792,18.725 ], [ -75.9722,18.725 ], [ -75.9722,17.509 ], [ -78.5792,17.509 ] ] ] } } ] }","volume":"103","issue":"2A","noUsgsAuthors":false,"publicationDate":"2013-03-21","publicationStatus":"PW","scienceBaseUri":"53cd578ae4b0b290850f789e","contributors":{"authors":[{"text":"Koehler, R.D.","contributorId":55925,"corporation":false,"usgs":true,"family":"Koehler","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":489061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, P.","contributorId":55167,"corporation":false,"usgs":true,"family":"Mann","given":"P.","email":"","affiliations":[],"preferred":false,"id":489060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":489058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, L. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":56995,"corporation":false,"usgs":true,"family":"Brown","given":"L.","affiliations":[],"preferred":false,"id":489062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benford, B.","contributorId":19468,"corporation":false,"usgs":true,"family":"Benford","given":"B.","email":"","affiliations":[],"preferred":false,"id":489059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grandison-Wiggins, M.","contributorId":92966,"corporation":false,"usgs":true,"family":"Grandison-Wiggins","given":"M.","email":"","affiliations":[],"preferred":false,"id":489063,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045272,"text":"70045272 - 2013 - Vulnerability of streams to legacy nitrate sources","interactions":[],"lastModifiedDate":"2013-04-19T15:54:28","indexId":"70045272","displayToPublicDate":"2013-04-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of streams to legacy nitrate sources","docAbstract":"The influence of hydrogeologic setting on the susceptibility of streams to legacy nitrate was examined at seven study sites having a wide range of base flow index (BFI) values. BFI is the ratio of base flow to total streamflow volume. The portion of annual stream nitrate loads from base flow was strongly correlated with BFI. Furthermore, dissolved oxygen concentrations in streambed pore water were significantly higher in high BFI watersheds than in low BFI watersheds suggesting that geochemical conditions favor nitrate transport through the bed when BFI is high. Results from a groundwater-surface water interaction study at a high BFI watershed indicate that decades old nitrate-laden water is discharging to this stream. These findings indicate that high nitrate levels in this stream may be sustained for decades to come regardless of current practices. It is hypothesized that a first approximation of stream vulnerability to legacy nutrients may be made by geospatial analysis of watersheds with high nitrogen inputs and a strong connection to groundwater (e.g., high BFI).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications (American Chemical Society)","publisherLocation":"Washington, D.C.","doi":"10.1021/es305026x","usgsCitation":"Tesoriero, A., Duﬀ, J., Saad, D.A., Spahr, N.E., and Wolock, D.M., 2013, Vulnerability of streams to legacy nitrate sources: Environmental Science & Technology, v. 47, no. 8, p. 3623-3629, https://doi.org/10.1021/es305026x.","productDescription":"7 p.","startPage":"3623","endPage":"3629","numberOfPages":"7","ipdsId":"IP-042808","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":271269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271268,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es305026x"}],"country":"United States","state":"Indiana;Maryl;Nebraska;North Carolina;Washington;Wisconsin","volume":"47","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"5172679de4b0c173799e7abe","contributors":{"authors":[{"text":"Tesoriero, Anthony J.","contributorId":40207,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":477180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duﬀ, John H.","contributorId":60102,"corporation":false,"usgs":true,"family":"Duﬀ","given":"John H.","affiliations":[],"preferred":false,"id":477181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":477179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":477178,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045440,"text":"ds755 - 2013 - Quantitative determination of selenium and mercury, and an ICP-MS semi-quantitative scan of other elements in samples of eagle tissues collected from the Pacific Northwest--Summer 2011","interactions":[],"lastModifiedDate":"2013-04-16T12:58:21","indexId":"ds755","displayToPublicDate":"2013-04-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"755","title":"Quantitative determination of selenium and mercury, and an ICP-MS semi-quantitative scan of other elements in samples of eagle tissues collected from the Pacific Northwest--Summer 2011","docAbstract":"Eagle tissues from dead eagle carcasses were collected by U.S. Fish and Wildlife Service personnel at various locations in the Pacific Northwest as part of a study to document the occurrence of metal and metalloid contaminants. A group of 182 eagle tissue samples, consisting of liver, kidney, brain, talon, feather, femur, humerus, and stomach contents, were quantitatively analyzed for concentrations of selenium and mercury by atomic absorption techniques, and for other elements by semi-quantitative scan with an inductively coupled plasma-mass spectrometer. For the various tissue matrices analyzed by an ICP-MS semiquantitative scan, some elemental concentrations (micrograms per gram dry weight) were quite variable within a particular matrix; notable observations were as follows: lead concentrations ranged from 0.2 to 31 in femurs, 0.1 to 29 in humeri, 0.1 to 54 in talons, less than (<) 0.05 to 120 in livers, <0.05 to 34 in kidneys, and 0.05 to 8 in brains; copper concentrations ranged from 5 to 9 in feathers, 8 to 47 in livers, 7 to 43 in kidneys, and 7 to 28 in brains; cadmium concentrations ranged from 0.1 to 10 in kidneys. In stomach contents, concentrations of vanadium ranged from 0.08 to 5, chromium 2 to 34, manganese 1 to 57, copper 2 to 69, arsenic <0.05 to 6, rubidium 1 to 13, and barium <0.5 to 18. Selenium concentrations from highest to lowest based on the matrix mean were as follows: kidney, liver, feather, brain, stomach content, talon, femur, and humerus. For mercury, the highest to lowest concentrations were feather, liver, talon, brain, stomach content, femur, and humerus.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds755","usgsCitation":"May, T., Walther, M., and Brumbaugh, W., 2013, Quantitative determination of selenium and mercury, and an ICP-MS semi-quantitative scan of other elements in samples of eagle tissues collected from the Pacific Northwest--Summer 2011: U.S. Geological Survey Data Series 755, iii, 3 p.; Tables, https://doi.org/10.3133/ds755.","productDescription":"iii, 3 p.; Tables","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-06-21","temporalEnd":"2011-09-22","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":270997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds755.gif"},{"id":270995,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/755/ds755_web.pdf"},{"id":270996,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/755/downloads/ds755_tables.xls"},{"id":270994,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/755/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7857,32.53 ], [ -124.7857,49.0 ], [ -111.04,49.0 ], [ -111.04,32.53 ], [ -124.7857,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64dae4b00154e4368b67","contributors":{"authors":[{"text":"May, Thomas","contributorId":39259,"corporation":false,"usgs":true,"family":"May","given":"Thomas","affiliations":[],"preferred":false,"id":477503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walther, Mike","contributorId":9137,"corporation":false,"usgs":true,"family":"Walther","given":"Mike","affiliations":[],"preferred":false,"id":477502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William","contributorId":48462,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","affiliations":[],"preferred":false,"id":477504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045486,"text":"70045486 - 2013 - Modeling light use efficiency in a subtropical mangrove forest equipped with CO<sub>2</sub> eddy covariance","interactions":[],"lastModifiedDate":"2013-04-19T14:02:26","indexId":"70045486","displayToPublicDate":"2013-04-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling light use efficiency in a subtropical mangrove forest equipped with CO<sub>2</sub> eddy covariance","docAbstract":"Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO<sub>2</sub> eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO<sub>2</sub> fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO<sub>2</sub> fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO<sub>2</sub> fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO<sub>2</sub> uptake, which declines 5% per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosynthetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO<sub>2</sub> uptake by these forests from reflectance data and information about environmental conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Copernicus Publications","publisherLocation":"Göttingen, Germany","doi":"10.5194/bg-10-2145-2013","usgsCitation":"Barr, J., Engel, V., Fuentes, J., Fuller, D., and Kwon, H., 2013, Modeling light use efficiency in a subtropical mangrove forest equipped with CO<sub>2</sub> eddy covariance: Biogeosciences, v. 10, p. 2145-2158, https://doi.org/10.5194/bg-10-2145-2013.","productDescription":"9 p.","startPage":"2145","endPage":"2158","numberOfPages":"9","ipdsId":"IP-040912","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-10-2145-2013","text":"Publisher Index Page"},{"id":271261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271260,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-10-2145-2013"}],"country":"United States","volume":"10","noUsgsAuthors":false,"publicationDate":"2013-03-27","publicationStatus":"PW","scienceBaseUri":"51726790e4b0c173799e79fb","contributors":{"authors":[{"text":"Barr, J.G.","contributorId":101895,"corporation":false,"usgs":true,"family":"Barr","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":477604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, V. 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":107905,"corporation":false,"usgs":true,"family":"Engel","given":"V.","affiliations":[],"preferred":false,"id":477605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes, J.D.","contributorId":8687,"corporation":false,"usgs":true,"family":"Fuentes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":477601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, D.O.","contributorId":83004,"corporation":false,"usgs":true,"family":"Fuller","given":"D.O.","email":"","affiliations":[],"preferred":false,"id":477603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwon, H.","contributorId":61317,"corporation":false,"usgs":true,"family":"Kwon","given":"H.","email":"","affiliations":[],"preferred":false,"id":477602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045456,"text":"ofr20131073 - 2013 - Residential and service-population exposure to multiple natural hazards in the Mount Hood region of Clackamas County, Oregon","interactions":[],"lastModifiedDate":"2013-04-16T16:17:45","indexId":"ofr20131073","displayToPublicDate":"2013-04-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1073","title":"Residential and service-population exposure to multiple natural hazards in the Mount Hood region of Clackamas County, Oregon","docAbstract":"The objective of this research is to document residential and service-population exposure to natural hazards in the rural communities of Clackamas County, Oregon, near Mount Hood. The Mount Hood region of Clackamas County has a long history of natural events that have impacted its small, tourism-based communities. To support preparedness and emergency-management planning in the region, a geospatial analysis of population exposure was used to determine the number and type of residents and service populations in flood-, wildfire-, and volcano-related hazard zones. Service populations are a mix of residents and tourists temporarily benefitting from local services, such as retail, education, or recreation. In this study, service population includes day-use visitors at recreational sites, overnight visitors at hotels and resorts, children at schools, and community-center visitors. Although the heavily-forested, rural landscape suggests few people are in the area, there are seasonal peaks of thousands of visitors to the region. “Intelligent” dasymetric mapping efforts using 30-meter resolution land-cover imagery and U.S. Census Bureau data proved ineffective at adequately capturing either the spatial distribution or magnitude of population at risk. Consequently, an address-point-based hybrid dasymetric methodology of assigning population to the physical location of buildings mapped with a global positioning system was employed. The resulting maps of the population (1) provide more precise spatial distributions for hazard-vulnerability assessments, (2) depict appropriate clustering due to higher density structures, such as apartment complexes and multi-unit commercial buildings, and (3) provide new information on the spatial distribution and temporal variation of people utilizing services within the study area.\n\nEstimates of population exposure to flooding, wildfire, and volcanic hazards were determined by using overlay analysis in a geographic information system. Population exposure to flood hazards is low (less than 10 percent of residents) and does not vary substantially between 100-year and 500-year flood-hazard scenarios. Moderate, moderate-to-high, and high wildfire-risk areas within the study region account for 72 percent of residents, 62 percent of employees, and 60 percent of daytime visitors to recreation sites. Fifteen percent of businesses in the study area are in moderate-to-high or high wildfire-risk areas but these businesses represent 51 percent of the local workforce. A volcanic event at Mount Hood could directly impact up to 60 percent of residents in their homes and 87 percent of employees at their workplaces. The proximal volcanic-hazard zone alone includes 65 percent of employees, 80 percent of schools and community facilities, more than 60 percent of overnight visitors in peak seasons, and 82–100 percent of daytime visitors to recreation sites during the summer and winter months, respectively. The number of day-use visitors to recreation sites in the region is greatest during winter months (averaging 129,300 people per month), whereas overnight visitors are greatest during summer months (averaging 34,000 per month). This analysis of residential and service-population exposure to natural hazards supports the development of targeted risk-reduction efforts in the region, while also expanding the discourse on characterizing and assessing population dynamics in tourist-frequented areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131073","collaboration":"Prepared in cooperation with the Clackamas County Emergency Management Department","usgsCitation":"Mathie, A., and Wood, N., 2013, Residential and service-population exposure to multiple natural hazards in the Mount Hood region of Clackamas County, Oregon: U.S. Geological Survey Open-File Report 2013-1073, iv, 48 p., https://doi.org/10.3133/ofr20131073.","productDescription":"iv, 48 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":271018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131073.jpg"},{"id":271017,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1073/pdf/ofr20131073.pdf"},{"id":271016,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1073/"}],"country":"United States","state":"Oregon","county":"Clackamas County","otherGeospatial":"Mount Hood","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.868,44.8857 ], [ -122.868,45.4617 ], [ -121.651,45.4617 ], [ -121.651,44.8857 ], [ -122.868,44.8857 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64dbe4b00154e4368b6b","contributors":{"authors":[{"text":"Mathie, Amy M.","contributorId":82803,"corporation":false,"usgs":true,"family":"Mathie","given":"Amy M.","affiliations":[],"preferred":false,"id":477522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":477521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187066,"text":"70187066 - 2013 - Simulations of tremor-related creep reveal a weak crustal root of the San Andreas Fault","interactions":[],"lastModifiedDate":"2017-04-21T09:13:13","indexId":"70187066","displayToPublicDate":"2013-04-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Simulations of tremor-related creep reveal a weak crustal root of the San Andreas Fault","docAbstract":"<p><span>Deep aseismic roots of faults play a critical role in transferring tectonic loads to shallower, brittle crustal faults that rupture in large earthquakes. Yet, until the recent discovery of deep tremor and creep, direct inference of the physical properties of lower-crustal fault roots has remained elusive. Observations of tremor near Parkfield, CA provide the first evidence for present-day localized slip on the deep extension of the San Andreas Fault and triggered transient creep events. We develop numerical simulations of fault slip to show that the spatiotemporal evolution of triggered tremor near Parkfield is consistent with triggered fault creep governed by laboratory-derived friction laws between depths of 20–35 km on the fault. Simulated creep and observed tremor northwest of Parkfield nearly ceased for 20–30 days in response to small coseismic stress changes of order 10</span><sup>4</sup><span> Pa from the 2003 M6.5 San Simeon Earthquake. Simulated afterslip and observed tremor following the 2004 M6.0 Parkfield earthquake show a coseismically induced pulse of rapid creep and tremor lasting for 1 day followed by a longer 30 day period of sustained accelerated rates due to propagation of shallow afterslip into the lower crust. These creep responses require very low effective normal stress of ~1 MPa on the deep San Andreas Fault and near-neutral-stability frictional properties expected for gabbroic lower-crustal rock.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/grl.50216","usgsCitation":"Shelly, D.R., Bradley, A.M., and Johnson, K.M., 2013, Simulations of tremor-related creep reveal a weak crustal root of the San Andreas Fault: Geophysical Research Letters, v. 40, no. 7, p. 1300-1305, https://doi.org/10.1002/grl.50216.","productDescription":"6 p.","startPage":"1300","endPage":"1305","ipdsId":"IP-044018","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50216","text":"Publisher Index Page"},{"id":340067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              36.5\n            ],\n            [\n              -119.6666,\n              36.5\n            ],\n            [\n              -119.6666,\n              35\n            ],\n            [\n              -122,\n              35\n            ],\n            [\n              -122,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-13","publicationStatus":"PW","scienceBaseUri":"58fb1a50e4b0c3010a8087db","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":692285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Andrew M.","contributorId":191196,"corporation":false,"usgs":false,"family":"Bradley","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":692350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Kaj M.","contributorId":92526,"corporation":false,"usgs":true,"family":"Johnson","given":"Kaj","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":692287,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70045399,"text":"cir1383A - 2013 - U.S. Geological Survey Climate and Land Use Change Science Strategy—A Framework for Understanding and Responding to Global Change","interactions":[],"lastModifiedDate":"2023-02-23T21:18:35.601132","indexId":"cir1383A","displayToPublicDate":"2013-04-15T17:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1383","chapter":"A","displayTitle":"U.S. Geological Survey climate and land use change science strategy—A framework for understanding and responding to global change","title":"U.S. Geological Survey Climate and Land Use Change Science Strategy—A Framework for Understanding and Responding to Global Change","docAbstract":"<h1>Executive Summary</h1><p>The U.S. Geological Survey (USGS), a nonregulatory Federal science agency with national scope and responsibilities, is uniquely positioned to serve the Nation’s needs in understanding and responding to global change, including changes in climate, water availability, sea level, land use and land cover, ecosystems, and global biogeochemical cycles. Global change is among the most challenging and formidable issues confronting our Nation and society. Scientists agree that global environmental changes during this century will have far-reaching societal implications (Intergovernmental Panel on Climate Change, 2007; U.S. Global Change Research Program, 2009). In the face of these challenges, the Nation can benefit greatly by using natural science information in decisionmaking.</p><p>Since the passage of the U.S. Global Change Research Act of 1990, the USGS has made substantial scientific contributions to understanding the interactive living and nonliving components of the Earth system. USGS natural science activities have led to fundamental advances in observing and understanding climate and land-cover change and the effects these changes have on ecosystems, natural-resource availability, and societal sustainability. Most of these major advances were pursued in partnership with other organizations within and outside the Department of the Interior. The inherent value of partnerships with other U.S. Global Change Research Program agencies and natural-resource managers is emphasized in all aspects of the planning and implementation of this Science Strategy for the coming decade.</p><p>Over the next 10 years, the USGS will make substantial contributions to understanding how Earth systems interact, respond to, and cause global change. The USGS will work with science partners, decisionmakers, and resource managers at local to international levels (including Native American tribes) to improve understanding of past and present change; develop relevant forecasts; and identify those lands, resources, and communities most vulnerable to global change processes. Science will play an essential role in helping communities and land and resource managers understand local to global implications, anticipate effects, prepare for changes, and reduce the risks associated with decisionmaking in a changing environment. USGS partners and stakeholders will benefit from the data, predictive models, and decision-support products and services resulting from the implementation of this strategy.</p><p>This Science Strategy recognizes core USGS strengths that are applied to key societal problems. It establishes seven goals for USGS global change science and strategic actions that may be implemented in the short term (1–5 years) and the longer term (5–10 years) to improve our understanding of the following areas of inquiry:</p><ol><li>Rates, causes, and impacts of past global changes;</li><li>The global carbon cycle;</li><li>Biogeochemical cycles and their coupled interactions;</li><li>Land-use and land-cover change rates, causes, and consequences;</li><li>Droughts, floods, and water availability under changing land-use and climatic conditions;</li><li>Coastal response to sea-level rise, climatic change, and human development; and</li><li>Biological responses to global change.</li></ol><p>In addition to the seven thematic goals, we address the central role of monitoring in accordance with the USGS Science Strategy recommendation that global change research should rely on existing “…decades of observational data and long-term records to interpret consequences of climate variability and change to the Nation’s biological populations, ecosystems, and land and water resources” (U.S. Geological Survey, 2007, p. 19). We also briefly describe specific needs and opportunities for coordinating USGS global change science among USGS Mission Areas and address the need for a comprehensive and sustained communications strategy.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1383A","usgsCitation":"Burkett, V.R., Kirtland, D.A., Taylor, I.L., Belnap, Jayne, Cronin, T.M., Dettinger, M.D., Frazier, E.L., Haines, J.W., Loveland, T.R., Milly, P.C.D., O’Malley, Robin, Thompson, R.S., Maule, A.G., McMahon, Gerard, and Striegl, R.G., 2013, U.S. Geological Survey climate and land use change science strategy—A framework for understanding and responding to global change: U.S. Geological Survey Circular 1383–A, 43 p.","productDescription":"viii, 43 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270884,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1383a/images/coverthb.gif"},{"id":270883,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1383a/circ1383-A.pdf","text":"Report","size":"20.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1383-A"}],"country":"United States","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/land-resources\" data-mce-href=\"https://www.usgs.gov/mission-areas/land-resources\">Land Resources</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Executive Summary</li><li>Introduction</li><li>Core Strengths, Partnerships, and Science Integration</li><li>Monitoring: A Critical Component of Global Change Science and Adaptive Resource Management</li><li>Interrelations of Climate and Land Use Change and Other Mission Areas</li><li>Communicating Science to Society—Services, Products, and Delivery</li><li>Summary—Understanding and Responding to Climate and Land-Use Change</li><li>References Cited</li><li>Glossary of Terms</li></ul>","publishedDate":"2013-04-15","noUsgsAuthors":false,"publicationDate":"2013-04-15","publicationStatus":"PW","scienceBaseUri":"516d135de4b0411d430a89b1","contributors":{"authors":[{"text":"Burkett, Virginia R. 0000-0003-4746-2862","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":80229,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirtland, David A. dakirtland@usgs.gov","contributorId":265,"corporation":false,"usgs":true,"family":"Kirtland","given":"David","email":"dakirtland@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":477362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Ione L. itaylor@usgs.gov","contributorId":322,"corporation":false,"usgs":true,"family":"Taylor","given":"Ione","email":"itaylor@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":477363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":477366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience 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jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":477365,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":477369,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Milly, Paul C.D.","contributorId":60503,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","affiliations":[],"preferred":false,"id":477375,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O'Malley, Robin","contributorId":202833,"corporation":false,"usgs":true,"family":"O'Malley","given":"Robin","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":772050,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":772051,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":477368,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477364,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":477371,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70125965,"text":"70125965 - 2013 - Evolutionary hotspots in the Mojave Desert","interactions":[],"lastModifiedDate":"2014-09-18T13:04:46","indexId":"70125965","displayToPublicDate":"2013-04-15T12:56:38","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary hotspots in the Mojave Desert","docAbstract":"Genetic diversity within species provides the raw material for adaptation and evolution. Just as regions of high species diversity are conservation targets, identifying regions containing high genetic diversity and divergence within and among populations may be important to protect future evolutionary potential. When multiple co-distributed species show spatial overlap in high genetic diversity and divergence, these regions can be considered evolutionary hotspots. We mapped spatial population genetic structure for 17 animal species across the Mojave Desert, USA. We analyzed these in concurrence and located 10 regions of high genetic diversity, divergence or both among species. These were mainly concentrated along the western and southern boundaries where ecotones between mountain, grassland and desert habitat are prevalent, and along the Colorado River. We evaluated the extent to which these hotspots overlapped protected lands and utility-scale renewable energy development projects of the Bureau of Land Management. While 30–40% of the total hotspot area was categorized as protected, between 3–7% overlapped with proposed renewable energy project footprints, and up to 17% overlapped with project footprints combined with transmission corridors. Overlap of evolutionary hotspots with renewable energy development mainly occurred in 6 of the 10 identified hotspots. Resulting GIS-based maps can be incorporated into ongoing landscape planning efforts and highlight specific regions where further investigation of impacts to population persistence and genetic connectivity may be warranted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/d5020293","usgsCitation":"Vandergast, A.G., Inman, R., Barr, K.R., Nussear, K.E., Esque, T., Hathaway, S.A., Wood, D.A., Medica, P.A., Breinholt, J.W., Stephen, C.L., Gottscho, A.D., Marks, S.B., Jennings, W.B., and Fisher, R.N., 2013, Evolutionary hotspots in the Mojave Desert: Diversity, v. 5, no. 2, p. 293-319, https://doi.org/10.3390/d5020293.","productDescription":"27 p.","startPage":"293","endPage":"319","numberOfPages":"27","ipdsId":"IP-044571","costCenters":[{"id":651,"text":"Western Ecological Research 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0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":97617,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inman, Richard D.","contributorId":91201,"corporation":false,"usgs":true,"family":"Inman","given":"Richard D.","affiliations":[],"preferred":false,"id":501803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barr, Kelly R. kelly_barr@usgs.gov","contributorId":5628,"corporation":false,"usgs":true,"family":"Barr","given":"Kelly","email":"kelly_barr@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":3221,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059 sahathaway@usgs.gov","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":3420,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"sahathaway@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research 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B.","contributorId":47302,"corporation":false,"usgs":true,"family":"Marks","given":"Sharyn","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":501799,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jennings, W. Bryan","contributorId":103607,"corporation":false,"usgs":true,"family":"Jennings","given":"W.","email":"","middleInitial":"Bryan","affiliations":[],"preferred":false,"id":501806,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501793,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70045476,"text":"70045476 - 2013 - Validation of eDNA surveillance sensitivity for detection of Asian carps in controlled and field experiments","interactions":[],"lastModifiedDate":"2013-04-19T14:37:11","indexId":"70045476","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","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":"Validation of eDNA surveillance sensitivity for detection of Asian carps in controlled and field experiments","docAbstract":"In many North American rivers, populations of multiple species of non-native cyprinid fishes are present, including black carp (Mylpharyngodon piceus), grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), silver carp (Hypophthalmichthys molitrix), common carp (Cyprinus carpio), and goldfish (Carassius auratus). All six of these species are found in the Mississippi River basin and tracking their invasion has proven difficult, particularly where abundance is low. Knowledge of the location of the invasion front is valuable to natural resource managers because future ecological and economic damages can be most effectively prevented when populations are low. To test the accuracy of environmental DNA (eDNA) as an early indicator of species occurrence and relative abundance, we applied eDNA technology to the six non-native cyprinid species putatively present in a 2.6 river mile stretch of the Chicago (IL, USA) canal system that was subsequently treated with piscicide. The proportion of water samples yielding positive detections increased with relative abundance of the six species, as indicated by the number of carcasses recovered after poisoning. New markers for black carp, grass carp, and a common carp/goldfish are reported and details of the marker testing to ensure specificity are provided.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0058316","usgsCitation":"Mahon, A., Jerde, C.L., Galaska, M., Bergner, J.L., Chadderton, W., Lodge, D.M., Hunter, M., and Nico, L.G., 2013, Validation of eDNA surveillance sensitivity for detection of Asian carps in controlled and field experiments: PLoS ONE, v. 8, no. 3, e58316, https://doi.org/10.1371/journal.pone.0058316.","productDescription":"e58316","ipdsId":"IP-031094","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0058316","text":"Publisher Index Page"},{"id":271265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271264,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0058316"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.65,41.57 ], [ -87.65,41.69 ], [ -87.36,41.69 ], [ -87.36,41.57 ], [ -87.65,41.57 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-05","publicationStatus":"PW","scienceBaseUri":"5172679ce4b0c173799e7ab7","contributors":{"authors":[{"text":"Mahon, Andrew R.","contributorId":64131,"corporation":false,"usgs":true,"family":"Mahon","given":"Andrew R.","affiliations":[],"preferred":false,"id":477592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerde, Christopher L.","contributorId":45608,"corporation":false,"usgs":true,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galaska, Matthew","contributorId":48071,"corporation":false,"usgs":true,"family":"Galaska","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":477591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergner, Jennifer L.","contributorId":33603,"corporation":false,"usgs":true,"family":"Bergner","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chadderton, W. Lindsay","contributorId":64538,"corporation":false,"usgs":true,"family":"Chadderton","given":"W. Lindsay","affiliations":[],"preferred":false,"id":477593,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lodge, David M.","contributorId":76622,"corporation":false,"usgs":false,"family":"Lodge","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":477594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":477588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nico, Leo G. 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":2913,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477587,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045495,"text":"70045495 - 2013 - Movement patterns of Antillean manatees in Chetumal Bay (Mexico) and coastal Belize: A challenge for regional conservation","interactions":[],"lastModifiedDate":"2013-04-19T14:53:19","indexId":"70045495","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Movement patterns of Antillean manatees in Chetumal Bay (Mexico) and coastal Belize: A challenge for regional conservation","docAbstract":"Information from 15 satellite-tracked Antillean manatees (Trichechus manatus manatus) was analyzed in order to assess individual movements, home ranges, and high-use areas for conservation decisions. Manatees were captured in Chetumal Bay, Mexico, and tagged with Argos-monitored satellite transmitters. Location of the manatees and physical characteristics were assessed to describe habitat properties. Most manatees traveled to freshwater sources. The Maximum Area Size (MAS) for each manatee was determined using the observation-area method. Additional kernel densities of 95% home range and 50% Center of Activity (COA) were also calculated, with manatees having 1–3 COAs. Manatees exhibited two different movement patterns: remaining in Chetumal Bay, and long-distance (up to 240 km in 89 d). The residence time in Chetumal Bay was higher for females (89.6% of time) than for males (72.0%), but the daily travel rate (0.4–0.5 km/d) was similar for both sexes. Most of the COAs fell within Natural Protected Areas (NPA). However, manatees also travel for long distances into unprotected areas, where they face uncontrolled boat traffic, fishing activities, and habitat loss. Conservation of movement corridors may promote long-distance movements and facilitate genetic exchange.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Mammal Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1748-7692.2012.00602.x","usgsCitation":"Castelblanco-Martinez, D.N., Padilla-Saldivar, J., Hernandez-Arana, H.A., Slone, D., Reid, J., and Morales-Vela, B., 2013, Movement patterns of Antillean manatees in Chetumal Bay (Mexico) and coastal Belize: A challenge for regional conservation: Marine Mammal Science, v. 29, no. 2, p. E166-E182, https://doi.org/10.1111/j.1748-7692.2012.00602.x.","productDescription":"17 p.","startPage":"E166","endPage":"E182","numberOfPages":"17","ipdsId":"IP-029670","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":271267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271266,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1748-7692.2012.00602.x"}],"country":"Belize;Mexico","otherGeospatial":"Chetumal Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.42,18.3 ], [ -88.42,18.6 ], [ -88,18.6 ], [ -88,18.3 ], [ -88.42,18.3 ] ] ] } } ] }","volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-09-17","publicationStatus":"PW","scienceBaseUri":"51726791e4b0c173799e7a02","contributors":{"authors":[{"text":"Castelblanco-Martinez, Delma Nataly","contributorId":82597,"corporation":false,"usgs":false,"family":"Castelblanco-Martinez","given":"Delma","email":"","middleInitial":"Nataly","affiliations":[],"preferred":false,"id":477637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Padilla-Saldivar, J.","contributorId":77403,"corporation":false,"usgs":true,"family":"Padilla-Saldivar","given":"J.","affiliations":[],"preferred":false,"id":477636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez-Arana, Hector Abuid","contributorId":51621,"corporation":false,"usgs":false,"family":"Hernandez-Arana","given":"Hector","email":"","middleInitial":"Abuid","affiliations":[{"id":13524,"text":"El Colegio de la Frontera Sur, Quintana Roo, Mexico","active":true,"usgs":false}],"preferred":false,"id":477634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slone, D. H. 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":33040,"corporation":false,"usgs":true,"family":"Slone","given":"D. H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":477633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reid, J.P. 0000-0002-8497-1132","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":59372,"corporation":false,"usgs":true,"family":"Reid","given":"J.P.","affiliations":[],"preferred":false,"id":477635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morales-Vela, B.","contributorId":32481,"corporation":false,"usgs":false,"family":"Morales-Vela","given":"B.","email":"","affiliations":[],"preferred":false,"id":477632,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045416,"text":"sir20135009 - 2013 - Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992-2009","interactions":[],"lastModifiedDate":"2017-05-26T09:37:34","indexId":"sir20135009","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5009","subseriesTitle":"National Water-Quality Assessment Program","title":"Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992-2009","docAbstract":"A method was developed to calculate annual county level pesticide use for selected herbicides, insecticides, and fungicides applied to agricultural crops grown in the conterminous United States from 1992 through 2009. Pesticide-use data compiled by proprietary surveys of farm operations located within Crop Reporting Districts were used in conjunction with annual harvested-crop acreage reported by the U.S. Department of Agriculture National Agricultural Statistics Service (NASS) to calculate use rates per harvested crop acre, or an 'estimated pesticide use' (EPest) rate, for each crop by year. Pesticide-use data were not available for all Crop Reporting Districts and years. When data were unavailable for a Crop Reporting District in a particular year, EPest extrapolated rates were calculated from adjoining or nearby Crop Reporting Districts to ensure that pesticide use was estimated for all counties that reported harvested-crop acreage. EPest rates were applied to county harvested-crop acreage differently to obtain EPest-low and EPest-high estimates of pesticide-use for counties and states, with the exception of use estimates for California, which were taken from annual Department of Pesticide Regulation Pesticide Use Reports. Annual EPest-low and EPest-high use totals were compared with other published pesticide-use reports for selected pesticides, crops, and years. EPest-low and EPest-high national totals for five of seven herbicides were in close agreement with U.S. Environmental Protection Agency and National Pesticide Use Data estimates, but greater than most NASS national totals. A second set of analyses compared EPest and NASS annual state totals and state-by-crop totals for selected crops. Overall, EPest and NASS use totals were not significantly different for the majority of crop-stateyear combinations evaluated. Furthermore, comparisons of EPest and NASS use estimates for most pesticides had rank correlation coefficients greater than 0.75 and median relative errors of less than 15 percent. Of the 48 pesticide-by-crop combinations with 10 or more state-year combinations, 12 of the EPest-low and 17 of the EPest-high totals showed significant differences (p < 0.05) from NASS use estimates. The differences between EPest and NASS estimates did not follow consistent patterns related to particular crops, years, or states, and most correlation coefficients were greater than 0.75. EPest values from this study are suitable for making national, regional, and watershed assessments of annual pesticide use from 1992 to 2009. Although estimates are provided by county to facilitate estimation of watershed pesticide use for a wide variety of watersheds, there is a greater degree of uncertainty in individual county-level estimates when compared to Crop Reporting District or state-level estimates because (1) EPest crop-use rates were developed on the basis of pesticide use on harvested acres in multi-county areas (Crop Reporting Districts) and then allocated to county harvested cropland; (2) pesticide-by-crop use rates were not available for all Crop Reporting Districts in the conterminous United States, and extrapolation methods were used to estimate pesticide use for some counties; and (3) it is possible that surveyed pesticide-by-crop use rates do not reflect all agricultural use on all crops grown. The methods developed in this study also are applicable to other agricultural pesticides and years.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135009","usgsCitation":"Thelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992-2009: U.S. Geological Survey Scientific Investigations Report 2013-5009, Report: viii, 54 p.; Appendix 1: XLSX file; Appendix 2: XLSX file; Companion Report, https://doi.org/10.3133/sir20135009.","productDescription":"Report: viii, 54 p.; Appendix 1: XLSX file; Appendix 2: XLSX file; Companion Report","numberOfPages":"66","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":270924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135009.jpg"},{"id":270919,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5009/"},{"id":270920,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5009/pdf/sir20135009.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":270921,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5009/sir20135009_appendix1.xlsx","text":"Appendix 1","linkFileType":{"id":3,"text":"xlsx"}},{"id":270922,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5009/sir20135009_appendix2.xlsx","text":"Appendix 2","linkFileType":{"id":3,"text":"xlsx"}},{"id":270923,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/752/","text":"Estimated Annual Agricultural Pesticide Use for Counties of the Conterminous United States, 1992–2009 (USGS Data Series 752)"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d135be4b0411d430a89a1","contributors":{"authors":[{"text":"Thelin, Gail P.","contributorId":75178,"corporation":false,"usgs":true,"family":"Thelin","given":"Gail","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":477469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477468,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045323,"text":"70045323 - 2013 - Biological consequences of the coaster brook trout restoration stocking program in Lake Superior tributaries with Pictured Rocks National Lakeshore","interactions":[],"lastModifiedDate":"2013-04-15T18:54:09","indexId":"70045323","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Biological consequences of the coaster brook trout restoration stocking program in Lake Superior tributaries with Pictured Rocks National Lakeshore","docAbstract":"The coaster Brook Trout Salvelinus fontinalis is a Lake Superior ecotype representing intraspecific variation that has been impacted by habitat loss and overfishing. Hatchery strains of Brook Trout derived from populations in Lake Superior were stocked into streams within Pictured Rocks National Lakeshore, Michigan, as part of an effort to rehabilitate adfluvial coaster Brook Trout. Wild and hatchery Brook Trout from three streams (Mosquito River, Hurricane River, and Sevenmile Creek) were examined for movement behavior, size, physiology, and reproductive success. Behavior and size of the stocked fish were similar to those of wild fish, and less than 15% of the stocked, tagged Brook Trout emigrated from the river into which they were stocked. There was little evidence of successful reproduction by stocked Brook Trout. Similar to the results of other studies, our findings suggest that the stocking of nonlocal Brook Trout strains where a local population already exists results in limited natural reproduction and should be avoided, particularly if the mechanisms governing the ecotype of interest are poorly understood.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2012.754801","usgsCitation":"Leonard, J.B., Stott, W., Loope, D.M., Kusnierz, P.C., and Sreenivasan, A., 2013, Biological consequences of the coaster brook trout restoration stocking program in Lake Superior tributaries with Pictured Rocks National Lakeshore: North American Journal of Fisheries Management, v. 33, no. 2, p. 359-372, https://doi.org/10.1080/02755947.2012.754801.","productDescription":"14 p.","startPage":"359","endPage":"372","ipdsId":"IP-042422","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":270961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270960,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.754801"}],"country":"United States","state":"Michigan","otherGeospatial":"Pictured Rocks National Lakeshore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.63,46.42 ], [ -86.63,46.68 ], [ -85.97,46.68 ], [ -85.97,46.42 ], [ -86.63,46.42 ] ] ] } } ] }","volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-03-21","publicationStatus":"PW","scienceBaseUri":"516d1359e4b0411d430a8999","contributors":{"authors":[{"text":"Leonard, Jill B.K.","contributorId":64141,"corporation":false,"usgs":true,"family":"Leonard","given":"Jill","email":"","middleInitial":"B.K.","affiliations":[],"preferred":false,"id":477222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stott, Wendylee","contributorId":8058,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","affiliations":[],"preferred":false,"id":477218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loope, Delora M.","contributorId":12761,"corporation":false,"usgs":true,"family":"Loope","given":"Delora","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kusnierz, Paul C.","contributorId":13881,"corporation":false,"usgs":true,"family":"Kusnierz","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sreenivasan, Ashwin","contributorId":18662,"corporation":false,"usgs":true,"family":"Sreenivasan","given":"Ashwin","email":"","affiliations":[],"preferred":false,"id":477221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045418,"text":"ds752 - 2013 - Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992--2009","interactions":[],"lastModifiedDate":"2013-04-15T15:19:30","indexId":"ds752","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"752","title":"Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992--2009","docAbstract":"This report provides estimated annual agricultural pesticide use for counties of the conterminous United States for 459 compounds from 1992 through 2009 following the methods described in Thelin and Stone (2013). As described in Thelin and Stone (2013), U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District (CRD)-level pesticide-use data to estimate county-level pesticide use. Estimated pesticide use (EPest) values were calculated with both the EPest-high and EPest-low methods. The distinction between the EPest-high method and the EPest-low method is that there are more counties with estimated pesticide use for EPest-high compared to EPest-low (Thelin and Stone, 2013). The estimates of annual agricultural pesticide use are provided in tab-delimited files and organized by compound, year, state Federal Information Processing Standard (FIPS) code, county FIPS code, and kg (amount in kilograms).\n\nEPest-high county pesticide-use estimates were divided into tables 1 through 7 by pesticide name:\n\nTable 1: 2, 4-D through Chlordimeform\nTable 2: Chlorethoxyfos through Diflufenzopyr\nTable 3: Dimethenamid through Gibberellic acid\nTable 4: Glufosinate through Metriam\nTable 5: Metolachlor through Propazine\nTable 6: Propiconazole through Triazamate\nTable 7: Tribenuron methyl through Zoxamide\n\nEPest-low county pesticide-use estimates were divided into tables 8 through 14 by pesticide name:\n\nTable 8: 2, 4-D through Chlordimeform\nTable 9: Chlorethoxyfos through Diflufenzopyr\nTable 10: Dimethenamid through Gibberellic acid\nTable 11: Glufosinate through Metriam\nTable 12: Metolachlor through Propazine\nTable 13: Propiconazole through Triazamate\nTable 14: Tribenuron methyl through Zoxamide","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds752","usgsCitation":"Stone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992--2009: U.S. Geological Survey Data Series 752, Pamphlet: iii, 1 p.; 14 Tables, https://doi.org/10.3133/ds752.","productDescription":"Pamphlet: iii, 1 p.; 14 Tables","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":270941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds752.png"},{"id":270926,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/752/pdf/ds752.pdf"},{"id":270925,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/752/"},{"id":270927,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table1.txt"},{"id":270928,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table2.txt"},{"id":270929,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table3.txt"},{"id":270930,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table4.txt"},{"id":270931,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table5.txt"},{"id":270932,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table6.txt"},{"id":270933,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.high.county.estimates.table7.txt"},{"id":270934,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table8.txt"},{"id":270935,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table9.txt"},{"id":270936,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table10.txt"},{"id":270937,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table11.txt"},{"id":270938,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table12.txt"},{"id":270939,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table13.txt"},{"id":270940,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/752/EPest.low.county.estimates.table14.txt"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,24.52 ], [ -124.79,49.0 ], [ -66.95,49.0 ], [ -66.95,24.52 ], [ -124.79,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d135ae4b0411d430a899d","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045498,"text":"70045498 - 2013 - Coral reef resilience through biodiversity","interactions":[],"lastModifiedDate":"2013-04-19T14:18:04","indexId":"70045498","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1959,"text":"ISRN Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Coral reef resilience through biodiversity","docAbstract":"Irrefutable evidence of coral reef degradation worldwide and increasing pressure from rising seawater temperatures and ocean acidification associated with climate change have led to a focus on reef resilience and a call to “manage” coral reefs for resilience. Ideally, global action to reduce emission of carbon dioxide and other greenhouse gases will be accompanied by local action. Effective management requires reduction of local stressors, identification of the characteristics of resilient reefs, and design of marine protected area networks that include potentially resilient reefs. Future research is needed on how stressors interact, on how climate change will affect corals, fish, and other reef organisms as well as overall biodiversity, and on basic ecological processes such as connectivity. Not all reef species and reefs will respond similarly to local and global stressors. Because reef-building corals and other organisms have some potential to adapt to environmental changes, coral reefs will likely persist in spite of the unprecedented combination of stressors currently affecting them. The biodiversity of coral reefs is the basis for their remarkable beauty and for the benefits they provide to society. The extraordinary complexity of these ecosystems makes it both more difficult to predict their future and more likely they will have a future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ISRN Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","publisherLocation":"New York, New York","doi":"10.5402/2013/739034","usgsCitation":"Rogers, C.S., 2013, Coral reef resilience through biodiversity: ISRN Oceanography, v. 2013, https://doi.org/10.5402/2013/739034.","productDescription":"18 p.","startPage":"739034","numberOfPages":"18","ipdsId":"IP-032853","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5402/2013/739034","text":"Publisher Index Page"},{"id":271263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271262,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5402/2013/739034"}],"otherGeospatial":"Coral Reefs","volume":"2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5172676fe4b0c173799e7970","contributors":{"authors":[{"text":"Rogers, Caroline S. 0000-0001-9056-6961 caroline_rogers@usgs.gov","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":3126,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","email":"caroline_rogers@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":477640,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043560,"text":"70043560 - 2013 - Bactericidal efficacy of elevated pH on fish pathogenic and environmental bacteria","interactions":[],"lastModifiedDate":"2013-06-17T09:03:55","indexId":"70043560","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2145,"text":"Journal of Advanced Research","active":true,"publicationSubtype":{"id":10}},"title":"Bactericidal efficacy of elevated pH on fish pathogenic and environmental bacteria","docAbstract":"Ship ballast water is a recognized medium for transfer and introductions of nonindigenous species. There is a need for new ballast water treatment methods that effectively and safely eliminate or greatly minimize movements of these species. The present study employed laboratory methods to evaluate the bactericidal efficacy of increased pH (pH 10.0–12.0) for exposure durations of up to 72 h to kill a variety of Gram-negative and Gram-positive bacteria including fish pathogens (Aeromonas spp., Yersinia ruckeri, Edwardsiella ictaluri, Serratia liquefaciens, Carnobacterium sp.), other common aquatic-inhabitant bacteria (Serratia marcescens, Pseudomonas fluorescens, Staphylococcus sp., Bacillus sp.) and indicators listed in International Maritime Organization D2 Standards; namely, Vibrio cholera (an environmental isolate from fish), Escherichia coli and Enterococcus faecalis. Volumes of 5 N NaOH were added to tryptic soy broth to obtain desired pH adjustments. Viable cells were determined after 0, 4, 12, 24, 48, and 72 h. Initial (0 h) cell numbers ranged from 3.40 × 10<sup>4</sup> cfu/mL for Bacillus sp. to 2.44 × 10<sup>7</sup> cfu/mL for E. faecalis. The effective endpoints of pH and treatment duration necessary to realize 100% bactericidal effect varied; however, all bacteria tested were killed within 72 h at pH 12.0 or lower. The lowest parameters examined, 4 h at pH 10.0, were bactericidal to V. cholera, E. ictaluri, three of four isolates of E. coli, and (three of four) Aeromonas salmonicida subsp. salmonicida. Bactericidal effect was attained at pH 10.0 within 12 h for the other A. salmonicida subsp. salmonicida, and within 24 h for P. fluorescens, and the remaining E. coli.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Advanced Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jare.2012.06.003","usgsCitation":"Starliper, C.E., and Watten, B.J., 2013, Bactericidal efficacy of elevated pH on fish pathogenic and environmental bacteria: Journal of Advanced Research, v. 4, no. 4, p. 345-353, https://doi.org/10.1016/j.jare.2012.06.003.","productDescription":"9 p.","startPage":"345","endPage":"353","ipdsId":"IP-037904","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jare.2012.06.003","text":"Publisher Index Page"},{"id":270904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270903,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jare.2012.06.003"}],"volume":"4","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d134fe4b0411d430a8995","contributors":{"authors":[{"text":"Starliper, Clifford E. cstarliper@usgs.gov","contributorId":1948,"corporation":false,"usgs":true,"family":"Starliper","given":"Clifford","email":"cstarliper@usgs.gov","middleInitial":"E.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473841,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045467,"text":"70045467 - 2013 - The influence of regional hydrology on nesting behavior and nest fate of the American alligator","interactions":[],"lastModifiedDate":"2013-04-18T09:11:58","indexId":"70045467","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"The influence of regional hydrology on nesting behavior and nest fate of the American alligator","docAbstract":"Hydrologic conditions are critical to the nesting behavior and reproductive success of crocodilians. In South Florida, USA, growing human settlement has led to extensive surface water management and modification of historical water flows in the wetlands, which have affected regional nesting of the American alligator (Alligator mississippiensis). Although both natural and anthropogenic factors are considered to determine hydrologic conditions, the aspects of hydrological patterns that affect alligator nest effort, flooding (partial and complete), and failure (no hatchling) are unclear. We deconstructed annual hydrological patterns using harmonic models that estimated hydrological matrices including mean, amplitude, timing of peak, and periodicity of surface water depth and discharge and examined their effects on alligator nesting using survey data from Shark Slough, Everglades National Park, from 1985 to 2005. Nest effort increased in years with higher mean and lesser periodicity of water depth. A greater proportion of nests were flooded and failed when peak discharge occurred earlier in the year. Also, nest flooding rates were greater in years with greater periodicity of water depth, and nest failure rate was greater when mean discharge was higher. This study guides future water management decisions to mitigate negative impacts on reproduction of alligators and provides wildlife managers with a tool for assessing and modifying annual water management plans to conserve crocodilians and other wetland species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/jwmg.463","usgsCitation":"Ugarte, C.A., Bass, O.L., Nuttle, W., Mazzotti, F., Rice, K.G., Fujisaki, I., and Whelan, K.R., 2013, The influence of regional hydrology on nesting behavior and nest fate of the American alligator: Journal of Wildlife Management, v. 77, no. 1, p. 192-199, https://doi.org/10.1002/jwmg.463.","productDescription":"8 p.","startPage":"192","endPage":"199","numberOfPages":"8","ipdsId":"IP-026739","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":271050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.463"},{"id":271051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Shark Slough Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ], [ -80.00694444444444,5.555555555555556E-4 ], [ -80.00694444444444,5.555555555555556E-4 ], [ -81,5.555555555555556E-4 ] ] ] } } ] }","volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-09-27","publicationStatus":"PW","scienceBaseUri":"517115e2e4b005316063424d","contributors":{"authors":[{"text":"Ugarte, Cristina A.","contributorId":11913,"corporation":false,"usgs":true,"family":"Ugarte","given":"Cristina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bass, Oron L.","contributorId":108004,"corporation":false,"usgs":true,"family":"Bass","given":"Oron","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nuttle, William","contributorId":63685,"corporation":false,"usgs":true,"family":"Nuttle","given":"William","affiliations":[],"preferred":false,"id":477563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":477564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":477559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":477561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whelan, Kevin R.T.","contributorId":53894,"corporation":false,"usgs":true,"family":"Whelan","given":"Kevin","email":"","middleInitial":"R.T.","affiliations":[],"preferred":false,"id":477562,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118022,"text":"70118022 - 2013 - Modeling mountain pine beetle disturbance in Glacier National Park using multiple lines of evidence","interactions":[],"lastModifiedDate":"2014-07-25T09:24:04","indexId":"70118022","displayToPublicDate":"2013-04-13T09:10:24","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Modeling mountain pine beetle disturbance in Glacier National Park using multiple lines of evidence","docAbstract":"Temperate forest ecosystems are subject to various disturbances which contribute to ecological legacies that can have profound effects on the structure of the ecosystem. Impacts of disturbance can vary widely in extent, duration and severity over space and time. Given that global climate change is expected to increase rates of forest disturbance, an understanding of these events are critical in the interpretation of contemporary forest patterns and those of the near future. We seek to understand the impact of the 1970s mountain pine beetle outbreak on the landscape of Glacier National Park and investigate any connection between this event and subsequent decades of extensive wildfire. The lack of spatially explicit data on the mountain pine beetle disturbance represents a major data gap and inhibits our ability to test for correlations between outbreak severity and fire severity. To overcome this challenge, we utilized multiple lines of evidence to model forest canopy mortality as a proxy for outbreak severity. We used historical aerial and landscape photos, reports, aerial survey data, a six year collection of Landsat imagery and abiotic data in combination with regression analysis. The use of remotely sensed data is critical in large areas where subsequent disturbance (fire) has erased some of the evidence from the landscape. Results indicate that this method is successful in capturing the spatial heterogeneity of the outbreak in a topographically complex landscape. Furthermore, this study provides an example on the use of existing data to reduce levels of uncertainty associated with an historic disturbance.","conferenceTitle":"Association of American Geographers Annual Meeting","conferenceDate":"2013-04-13T00:00:00","conferenceLocation":"Chicago, IL","language":"English","publisher":"Association of American Geographers","publisherLocation":"Washington, D.C.","usgsCitation":"Assal, T., and Sibold, J., 2013, Modeling mountain pine beetle disturbance in Glacier National Park using multiple lines of evidence, Association of American Geographers Annual Meeting, Chicago, IL, 2013-04-13T00:00:00.","costCenters":[],"links":[{"id":290971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f314e4b0bc0bec0a0779","contributors":{"authors":[{"text":"Assal, Timothy","contributorId":87864,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","affiliations":[],"preferred":false,"id":496140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sibold, Jason","contributorId":10724,"corporation":false,"usgs":false,"family":"Sibold","given":"Jason","affiliations":[],"preferred":false,"id":496139,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045394,"text":"70045394 - 2013 - Distribution of Pacific lamprey <i>Entosphenus tridentatus</i> in watersheds of Puget Sound Based on smolt monitoring data","interactions":[],"lastModifiedDate":"2016-05-04T15:46:28","indexId":"70045394","displayToPublicDate":"2013-04-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of Pacific lamprey <i>Entosphenus tridentatus</i> in watersheds of Puget Sound Based on smolt monitoring data","docAbstract":"<p>Lamprey populations are in decline worldwide and the status of Pacific lamprey (<i>Entosphenus tridentatus</i>) is a topic of current interest. They and other lamprey species cycle nutrients and serve as prey in riverine ecosystems. To determine the current distribution of Pacific lamprey in major watersheds flowing into Puget Sound, Washington, we sampled lamprey captured during salmonid smolt monitoring that occurred from late winter to mid-summer. We found Pacific lamprey in 12 of 18 watersheds and they were most common in southern Puget Sound watersheds and in watersheds draining western Puget Sound (Hood Canal). Two additional species, western brook lamprey (<i>Lampetra richardsoni</i>) and river lamprey (<i>L. ayresii</i>) were more common in eastern Puget Sound watersheds. Few Pacific lamprey macrophthalmia were found, suggesting that the majority of juveniles migrated seaward during other time periods. In addition, &ldquo;dwarf&rdquo; adult Pacific lamprey (&lt; 300 mm) were observed in several watersheds and may represent an alternate life history for some Puget Sound populations. Based on genetic data, the use of visual techniques to identify lamprey ammocoetes as <i>Entosphenus</i> or <i>Lampetra</i> was successful for 97% (34 of 35) of the samples we evaluated.</p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.087.0202","usgsCitation":"Hayes, M.C., Hays, R., Rubin, S.P., Chase, D., Hallock, M., Cook-Tabor, C., Luzier, C.W., and Moser, M., 2013, Distribution of Pacific lamprey <i>Entosphenus tridentatus</i> in watersheds of Puget Sound Based on smolt monitoring data: Northwest Science, v. 87, no. 2, p. 95-105, https://doi.org/10.3955/046.087.0202.","productDescription":"11 p.","startPage":"95","endPage":"105","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040130","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7513,47.7495 ], [ -122.7513,48.2117 ], [ -122.3315,48.2117 ], [ -122.3315,47.7495 ], [ -122.7513,47.7495 ] ] ] } } ] }","volume":"87","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5580e4b0b290850f6571","contributors":{"authors":[{"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":477343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hays, Richard","contributorId":59320,"corporation":false,"usgs":true,"family":"Hays","given":"Richard","email":"","affiliations":[],"preferred":false,"id":477349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, Stephen P. 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":38037,"corporation":false,"usgs":true,"family":"Rubin","given":"Stephen","email":"","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":477347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chase, Dorothy M.","contributorId":59319,"corporation":false,"usgs":true,"family":"Chase","given":"Dorothy M.","affiliations":[],"preferred":false,"id":477348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hallock, Molly","contributorId":24251,"corporation":false,"usgs":true,"family":"Hallock","given":"Molly","email":"","affiliations":[],"preferred":false,"id":477344,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook-Tabor, Carrie","contributorId":31649,"corporation":false,"usgs":true,"family":"Cook-Tabor","given":"Carrie","affiliations":[],"preferred":false,"id":477345,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luzier, Christina W.","contributorId":37616,"corporation":false,"usgs":true,"family":"Luzier","given":"Christina","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":477346,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moser, Mary L.","contributorId":83412,"corporation":false,"usgs":true,"family":"Moser","given":"Mary L.","affiliations":[],"preferred":false,"id":477350,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70155850,"text":"70155850 - 2013 - Transport of nitrate in the Mississippi river in July-August 1999","interactions":[],"lastModifiedDate":"2022-11-15T16:26:10.683103","indexId":"70155850","displayToPublicDate":"2013-04-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":791,"text":"Annals of Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Transport of nitrate in the Mississippi river in July-August 1999","docAbstract":"<p><span>Lagrangian sampling was conducted on the Mississippi River in late July through early August 1999 to test the hypothesis that nitrate (NO</span><sub>3</sub><sup>-</sup><span>) is transported conservatively in the Mississippi River. Three different approaches were pursued to test the hypothesis: (1) a mass balance for NO</span><sub>3</sub><sup>-</sup><span>&nbsp;was evaluated for evidence of net gains and losses, (2) stable isotopes of NO</span><sub>3</sub><sup>-</sup><span>&nbsp;were measured (δ</span><sup>15</sup><span>N and δ</span><sup>18</sup><span>O) to determine if fractionation occurred, and (3) the concentrations of dissolved gases (N</span><sub>2</sub><span>O, N</span><sub>2</sub><span>&nbsp;and Ar) in river water were measured and compared to theoretical equilibrium concentrations. Integrated water samples and flow measurements were obtained at 10 sites on the Mississippi River and 7 sites near the mouths of major tributaries from northern Iowa to southern Louisiana, a distance of about 2,250 river kilometers. Mass balance calculations indicate that more than 80 percent of the NO</span><sub>3</sub><sup>-</sup><span>&nbsp;mass discharged from the Mississippi River (1,930 metric tons/day) during the study period originated in the first 500 river kilometers of the study reach. The mass balance calculations also indicate that NO</span><sub>3</sub><sup>-</sup><span>&nbsp;was not lost from the water column upstream of Vicksburg, MS, but that there might have been some loss of NO</span><sub>3</sub><sup>-</sup><span>&nbsp;in the lower 700 kilometers of the study reach. The stable isotope ratios of N and O (δ</span><sup>15</sup><span>N and δ</span><sup>18</sup><span>O) of NO</span><sub>3</sub><sup>-</sup><span>&nbsp;were consistent with mixing and transport in the absence of fractionating gains or losses. The concentrations of nitrogen (N</span><sub>2</sub><span>) and argon (Ar) dissolved in river water decreased in the downstream direction, approximately in equilibrium with air at increasing temperatures, giving no evidence of gains or losses of N</span><sub>2</sub><span>&nbsp;by nitrogen fixation or denitrification. Nitrous oxide (N</span><sub>2</sub><span>O) concentrations in the Mississippi River were approximately 26 to 200 percent of air saturation, indicating relatively low net production by combination of nitrification and denitrification. Results from this study indicate that most (&gt;90%) of the NO</span><sub>3</sub><sup>-</sup><span>&nbsp;that entered the Mississippi River during July-August 1999 was transported to the Gulf of Mexico.</span></p>","language":"English","publisher":"Annals of Environmental Science","usgsCitation":"Coupe, R.H., Goolsby, D.A., Battaglin, W.A., Bohlke, J.K., McMahon, P.B., and Kendall, C., 2013, Transport of nitrate in the Mississippi river in July-August 1999: Annals of Environmental Science, v. 7, p. 31-46.","productDescription":"16 p.","startPage":"31","endPage":"46","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010231","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":306874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306873,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/2047/d20003062","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.74107915560967,\n              41.94696125124591\n            ],\n            [\n              -90.7247111159534,\n              41.94782148065562\n            ],\n            [\n              -92.21696687481273,\n              39.898696263591006\n            ],\n            [\n              -90.62290688578673,\n              38.18884247832648\n            ],\n            [\n              -89.55848774360221,\n              36.75978734815499\n            ],\n            [\n              -91.35296698175478,\n              33.76126564353096\n            ],\n            [\n              -91.39188011203447,\n              32.40871313340536\n            ],\n            [\n              -92.00579094724804,\n              30.85436612286776\n            ],\n            [\n              -89.04835434968044,\n              28.623578464133914\n            ],\n            [\n              -88.77080814875106,\n              29.387440439736736\n            ],\n            [\n              -90.78196226746519,\n              31.21911889670217\n            ],\n            [\n              -90.15117747861228,\n              33.59436165469742\n            ],\n            [\n              -88.49486393764408,\n              36.833375630685424\n            ],\n            [\n              -89.58934752888702,\n              38.61451749276728\n            ],\n            [\n              -90.49047617261863,\n              40.23407516171034\n            ],\n            [\n              -89.74167750349469,\n              41.9024859627813\n            ],\n            [\n              -89.74107915560967,\n              41.94696125124591\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45736e4b0518e35469506","contributors":{"authors":[{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goolsby, Donald A.","contributorId":46083,"corporation":false,"usgs":true,"family":"Goolsby","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":857041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":566601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":566599,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045392,"text":"70045392 - 2013 - Immunological and reproductive health assessment in herring gulls and black-crowned night herons in the Hudson–Raritan Estuary","interactions":[],"lastModifiedDate":"2016-12-02T14:25:29","indexId":"70045392","displayToPublicDate":"2013-04-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Immunological and reproductive health assessment in herring gulls and black-crowned night herons in the Hudson–Raritan Estuary","docAbstract":"<p><span>Previous studies have shown inexplicable declines in breeding waterbirds within western New York/New Jersey Harbor between 1996 and 2002 and elevated polychlorinated dibenzo-</span><i>p</i><span>-dioxins and polychlorinated biphenyls (PCBs) in double-crested cormorant (</span><i>Phalacrocorax auritus</i><span>) eggs. The present study assessed associations between immune function, prefledgling survival, and selected organochlorine compounds and metals in herring gulls (</span><i>Larus argentatus</i><span>) and black-crowned night herons (</span><i>Nycticorax nycticorax</i><span>) in lower New York Harbor during 2003. In pipping gull embryos, lymphoid cells were counted in the thymus and bursa of Fabricius (sites of T and B lymphocyte maturation, respectively). The phytohemagglutinin (PHA) skin response assessed T cell function in gull and heron chicks. Lymphocyte proliferation was measured in vitro in adult and prefledgling gulls. Reference data came from the Great Lakes and Bay of Fundy. Survival of prefledgling gulls was poor, with only 0.68 and 0.5 chicks per nest surviving to three and four weeks after hatch, respectively. Developing lymphoid cells were reduced 51% in the thymus and 42% in the bursa of gull embryos from New York Harbor. In vitro lymphocyte assays demonstrated reduced spontaneous proliferation, reduced T cell mitogen-induced proliferation, and increased B cell mitogen-induced proliferation in gull chicks from New York Harbor. The PHA skin response was suppressed 70 to 80% in gull and heron chicks. Strong negative correlations (</span><i>r</i><span> = –0.95 to –0.98) between the PHA response and dioxins and PCBs in gull livers was strong evidence suggesting that these chemicals contribute significantly to immunosuppression in New York Harbor waterbirds.</span></p>","publisher":"SETAC","publisherLocation":"Brussels, Belgium","doi":"10.1002/etc.2089","usgsCitation":"Grasman, K.A., Echols, K.R., May, T.M., Peterman, P.H., Gale, R.W., and Orazio, C.E., 2013, Immunological and reproductive health assessment in herring gulls and black-crowned night herons in the Hudson–Raritan Estuary: Environmental Toxicology and Chemistry, v. 32, no. 3, p. 548-561, https://doi.org/10.1002/etc.2089.","productDescription":"14 p.","startPage":"548","endPage":"561","ipdsId":"IP-019715","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2089","text":"Publisher Index Page"},{"id":270875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5598,38.9286 ], [ -75.5598,42.1524 ], [ -71.7711,42.1524 ], [ -71.7711,38.9286 ], [ -75.5598,38.9286 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-12-04","publicationStatus":"PW","scienceBaseUri":"53cd6208e4b0b290850fde8f","contributors":{"authors":[{"text":"Grasman, Keith A.","contributorId":18660,"corporation":false,"usgs":true,"family":"Grasman","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":477338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas M. tmay@usgs.gov","contributorId":75050,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":477342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterman, Paul H. ppeterman@usgs.gov","contributorId":2872,"corporation":false,"usgs":true,"family":"Peterman","given":"Paul","email":"ppeterman@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":477340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gale, Robert W. 0000-0002-8533-141X rgale@usgs.gov","orcid":"https://orcid.org/0000-0002-8533-141X","contributorId":2808,"corporation":false,"usgs":true,"family":"Gale","given":"Robert","email":"rgale@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":477339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orazio, Carl E. 0000-0002-2532-9668 corazio@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-9668","contributorId":1366,"corporation":false,"usgs":true,"family":"Orazio","given":"Carl","email":"corazio@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":477337,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156584,"text":"70156584 - 2013 - Delineation of fractures, foliation, and groundwater-flow zones of the bedrock at the Harlem River Tunnel in northern New York County, New York","interactions":[],"lastModifiedDate":"2022-11-08T19:21:19.951485","indexId":"70156584","displayToPublicDate":"2013-04-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Delineation of fractures, foliation, and groundwater-flow zones of the bedrock at the Harlem River Tunnel in northern New York County, New York","docAbstract":"<p><span>Advanced borehole-geophysical methods were used to investigate the hydrogeology of the crystalline bedrock in 36 boreholes on the northernmost part of New York County, New York, for the construction of a utilities tunnel beneath the Harlem River. The borehole-logging techniques were used to delineate bedrock fractures, foliation, and groundwater-flow zones in test boreholes at the site. Fracture indexes of the deep boreholes ranged from 0.65 to 0.76 per foot. Most of the fracture populations had either northwest to southwest or east to southeast dip azimuths with moderate dip angles. The mean foliation dip azimuth ranged from 100º to 124º southeast with dip angles of 52º to 60º. Groundwater appears to flow through an interconnected network of fractures that are affected by tidal variations from the nearby Harlem River and tunnel construction dewatering operations. The transmissivities of the 3 boreholes tested (USGS-1, USGS-3, and USGS-4), calculated from specific capacity data, were 2, 48, and 30 feet squared per day (ft<sup>2</sup>/d), respectively. The highest transmissivities were observed in wells north and west of the secant ring. Three borehole-radar velocity tomograms were collected. In the USGS-1 and USGS-4 velocity tomogram there are two areas of low radar velocity. The first is at the top of the tomogram and runs from 105 ft below land surface (BLS) at USGS-4 and extends to 125 ft BLS at USGS-1, the second area is centered at a depth of 150 ft BLS at USGS-1 and 135 to 150 ft BLS at USGS-4. Field measurements of specific conductance of 14 boreholes under ambient conditions at the site indicate an increase in conductivity toward the southwest part of the site (nearest the Harlem River). Specific conductance ranged from 107 microsiemens per centimeter (μS/cm) (borehole 63C) to 11,000 μS/cm (borehole 79B). The secant boreholes had the highest specific conductance.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"20th Conference on the geology of Long Island and metropolitan New York","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"20th Conference on the Geology of Long Island and Metropolitan New York","conferenceDate":"April 13, 2013","conferenceLocation":"Stony Brook, New York, United States","language":"English","usgsCitation":"Stumm, F., Chu, A., Joesten, P.K., Noll, M.L., and Como, M.D., 2013, Delineation of fractures, foliation, and groundwater-flow zones of the bedrock at the Harlem River Tunnel in northern New York County, New York, <i>in</i> 20th Conference on the geology of Long Island and metropolitan New York, Stony Brook, New York, United States, April 13, 2013, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science 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fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":474,"text":"New York Water Science 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,{"id":70045384,"text":"ofr20131083 - 2013 - Louisiana Barrier Island Comprehensive Monitoring (BICM) Program Summary Report: Data and Analyses 2006 through 2010","interactions":[],"lastModifiedDate":"2023-04-05T13:18:14.881422","indexId":"ofr20131083","displayToPublicDate":"2013-04-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1083","title":"Louisiana Barrier Island Comprehensive Monitoring (BICM) Program Summary Report: Data and Analyses 2006 through 2010","docAbstract":"The Barrier Island Comprehensive Monitoring (BICM) program was implemented under the Louisiana Coastal Area Science and Technology (LCA S&T) office as a component of the System Wide Assessment and Monitoring (SWAMP) program. The BICM project was developed by the State of Louisiana (Coastal Protection Restoration Authority [CPRA], formerly Department of Natural Resources [DNR]) to complement other Louisiana coastal monitoring programs such as the Coastwide Reference Monitoring System-Wetlands (CRMS-Wetlands) and was a collaborative research effort by CPRA, University of New Orleans (UNO), and the U.S. Geological Survey (USGS). The goal of the BICM program was to provide long-term data on the barrier islands of Louisiana that could be used to plan, design, evaluate, and maintain current and future barrier-island restoration projects. The BICM program used both historical and newly acquired (2006 to 2010) data to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. BICM datasets included aerial still and video photography (multiple time series) for shoreline positions, habitat mapping, and land loss; light detection and ranging (lidar) surveys for topographic elevations; single-beam and swath bathymetry; and sediment grab samples. Products produced using BICM data and analyses included (but were not limited to) storm-impact assessments, rate of shoreline and bathymetric change, shoreline-erosion and accretion maps, high-resolution elevation maps, coastal-shoreline and barrier-island habitat-classification maps, and coastal surficial-sediment characterization maps. Discussions in this report summarize the extensive data-collection efforts and present brief interpretive analyses for four coastal Louisiana geographic regions. In addition, several coastal-wide and topical themes were selected that integrate the data and analyses within a broader coastal context: (1) barrier-shoreline evolution driven by rapid relative sea-level rise (RSLR), (2) hurricane impacts to the Chandeleur Islands and likelihood of island recovery, (3) impact of tropical storms on barrier shorelines, (4) Barataria Bay tidal-inlet management, and (5) habitat changes related to RSLR. The final theme addresses potential future goals of the BICM program, including rotational annual to semi-decadal monitoring, proposed new-data collection, how to incorporate technological advances with previous data-collection and monitoring protocols, and standardizing methods and quality-control assessments for continued coastal monitoring and restoration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131083","usgsCitation":"Kindinger, J.L., Buster, N.A., Flocks, J.G., Bernier, J., and Kulp, M., 2013, Louisiana Barrier Island Comprehensive Monitoring (BICM) Program Summary Report: Data and Analyses 2006 through 2010: U.S. Geological Survey Open-File Report 2013-1083, xii, 86 p., https://doi.org/10.3133/ofr20131083.","productDescription":"xii, 86 p.","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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,{"id":70045385,"text":"ofr20111127 - 2013 - Construction of a 3-arcsecond digital elevation model for the Gulf of Maine","interactions":[],"lastModifiedDate":"2022-11-22T14:13:35.002513","indexId":"ofr20111127","displayToPublicDate":"2013-04-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1127","title":"Construction of a 3-arcsecond digital elevation model for the Gulf of Maine","docAbstract":"A system-wide description of the seafloor topography is a basic requirement for most coastal oceanographic studies. The necessary detail of the topography obviously varies with application, but for many uses, a nominal resolution of roughly 100 m is sufficient. Creating a digital bathymetric grid with this level of resolution can be a complex procedure due to a multiplicity of data sources, data coverages, datums and interpolation procedures. This report documents the procedures used to construct a 3-arcsecond (approximately 90-meter grid cell size) digital elevation model for the Gulf of Maine (71°30' to 63° W, 39°30' to 46° N). We obtained elevation and bathymetric data from a variety of American and Canadian sources, converted all data to the North American Datum of 1983 for horizontal coordinates and the North American Vertical Datum of 1988 for vertical coordinates, used a combination of automatic and manual techniques for quality control, and interpolated gaps using a surface-fitting routine.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111127","usgsCitation":"Twomey, E.R., and Signell, R.P., 2013, Construction of a 3-arcsecond digital elevation model for the Gulf of Maine: U.S. Geological Survey Open-File Report 2011-1127, HTML Document, https://doi.org/10.3133/ofr20111127.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":270856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20111127.bmp"},{"id":270854,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1127/","linkFileType":{"id":5,"text":"html"}},{"id":270855,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1127/titlepage.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maine","otherGeospatial":"Gulf Of Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.5,\n              46\n            ],\n            [\n              -71.5,\n              39.5\n            ],\n            [\n              -63,\n              39.5\n            ],\n            [\n              -63,\n              46\n            ],\n            [\n              -71.5,\n              46\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd52a0e4b0b290850f4a33","contributors":{"authors":[{"text":"Twomey, Erin R.","contributorId":44860,"corporation":false,"usgs":true,"family":"Twomey","given":"Erin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":477324,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045398,"text":"ds758 - 2013 - Digital database of the Holocene tephras of the Mono-Inyo Craters, California","interactions":[],"lastModifiedDate":"2013-04-12T21:41:14","indexId":"ds758","displayToPublicDate":"2013-04-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"758","title":"Digital database of the Holocene tephras of the Mono-Inyo Craters, California","docAbstract":"This digital product comprises a collection of age and isopach data for the Holocene tephras of the Mono-Inyo Craters, California. Data on the most recent eruptions from this volcanic chain are relatively comprehensive, getting less so the further back in time. For the most recent eruptions to about 1,500 years ago, tephra beds within separate eruptive sequences have been studied and isopached. Before this, from about 2,000 years ago to about 5,000 years ago, there are insufficient data for isopaching. However, one isolated tephra of about 9,000 years ago was studied and isopached in detail.\n\nRegarding ages, there are many tens of radiocarbon ages that have been obtained on the Holocene Mono-Inyo volcanic products. The vast majority of these radiocarbon dates are associated with tephras at locales that can be considered distal (basically where the primary tephra is less than several centimeters (cm) thick). These dates represent carbon that was sequestered perhaps within several hundred years of the eruption but do not represent the ages of separate eruptive pulses. There are two reasons for this. In some cases, it is clear that the dated material is not associated with the eruption products. This is the case in some lake strata where carbon is either not physically close to a given tephra layer or where an age for a tephra layer was obtained by interpolation assuming a sedimentation rate. In other cases, it is not clear that a given tephra layer represents a primary tephra; in such cases the layer could instead be redeposited. At most distal localities (beyond about 5 kilometers (km) from the chain), there was no record made of whether tephra was primary or redeposited, and at these distances where tephra is thin, it is generally redeposited during later events such as fires or thunderstorms. These age data are not appropriate for use in dating the eruptive history of the volcanic chain, and are therefore not included in the present contribution.\n\nThe carbon age data in the present contribution were obtained by careful consideration of the material being collected. In the best instances, carbon was collected from new growth on plants that were probably killed by an eruption event through burning and burial. Slightly poorer data were collected from burned and buried forest duff that is renewed frequently. Finally, some dates for older Holocene tephra layers at Black Lake, Nevada, downwind of the Mono-Inyo Craters, appear to allow correlation of the layers to proximal occurrences. In cases where these poorer data were collected but yielded ages statistically indistinguishable from better data, the poorer data were included in the analysis. In the most difficult cases, usually the furthest back in time, poorer data that were nevertheless statistically indistinguishable were weighted together to generate the age estimate.\n\nThere are some known Holocene eruptions from the Mono-Inyo Craters that are not included in this tabulation, as so far a tephra has not been associated with the eruptions. A good example of this is the Java blocks. The Java block eruption, from a vent underlying the northwestern corner of Negit Island in Mono Lake, expelled numerous blocks that were rafted within the lake and that are mostly deposited on the southwestern and northern lakeshore. No tephra that can be correlated to this deposit has been found, and therefore the eruption is not included in this tabulation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds758","usgsCitation":"Bursik, M., and Sieh, K., 2013, Digital database of the Holocene tephras of the Mono-Inyo Craters, California: U.S. Geological Survey Data Series 758, iv, 6 p.; Data Table; All Data, https://doi.org/10.3133/ds758.","productDescription":"iv, 6 p.; Data Table; All Data","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":270871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds758.gif"},{"id":270867,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/758/"},{"id":270870,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/758/data/1_all_data.zip"},{"id":270868,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/758/ds758_text.pdf"},{"id":270869,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/758/data/monoinyodates.html"}],"country":"United States","state":"California","otherGeospatial":"Mono-inyo Craters","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.0,42.0 ], [ -114.0,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd54f9e4b0b290850f6109","contributors":{"authors":[{"text":"Bursik, Marcus","contributorId":36030,"corporation":false,"usgs":true,"family":"Bursik","given":"Marcus","affiliations":[],"preferred":false,"id":477360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sieh, Kerry","contributorId":103945,"corporation":false,"usgs":true,"family":"Sieh","given":"Kerry","affiliations":[],"preferred":false,"id":477361,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047219,"text":"70047219 - 2013 - Thermal sensitivity of immune function: evidence against a generalist-specialist trade-off among endothermic and ectothermic vertebrates","interactions":[],"lastModifiedDate":"2013-07-26T14:47:00","indexId":"70047219","displayToPublicDate":"2013-04-11T14:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Thermal sensitivity of immune function: evidence against a generalist-specialist trade-off among endothermic and ectothermic vertebrates","docAbstract":"Animal body temperature (Tbody) varies over daily and annual cycles, affecting multiple aspects of biological performance in both endothermic and ectothermic animals. Yet a comprehensive comparison of thermal performance among animals varying in Tbody (mean and variance) and heat production is lacking. Thus, we examined the thermal sensitivity of immune function (a crucial fitness determinant) in Vertebrata, a group encompassing species of varying thermal biology. Specifically, we investigated temperature-related variation in two innate immune performance metrics, hemagglutination and hemolysis, for 13 species across all seven major vertebrate clades.  Agglutination and lysis were temperature dependent and were more strongly related to the thermal biology of species (e.g., mean Tbody) than to the phylogenetic relatedness of species, although these relationships were complex and frequently surprising (e.g., heterotherms did not exhibit broader thermal performance curves than homeotherms). Agglutination and lysis performance were positively correlated within species, except in taxa that produce squalamine, a steroidal antibiotic that does not lyse red blood cells. Interestingly, we found the antithesis of a generalist-specialist trade-off: species with broader temperature ranges of immune performance also had higher peak performance levels. In sum, we have uncovered thermal sensitivity of immune performance in both endotherms and ectotherms, highlighting the role that temperature and life history play in immune function across Vertebrata.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Naturalists","doi":"10.1086/670191","usgsCitation":"Butler, M.W., Stahlschmidt, Z.R., Ardia, D.R., Davies, S., Davis, J., Guillette, L.J., Johnson, N., McCormick, S., McGraw, K.J., and DeNardo, D.F., 2013, Thermal sensitivity of immune function: evidence against a generalist-specialist trade-off among endothermic and ectothermic vertebrates: American Naturalist, v. 181, no. 6, p. 761-774, https://doi.org/10.1086/670191.","productDescription":"14 p.","startPage":"761","endPage":"774","numberOfPages":"14","ipdsId":"IP-040124","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":275469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275468,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/670191"}],"volume":"181","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f39a68e4b0a32220222fc1","contributors":{"authors":[{"text":"Butler, Michael W.","contributorId":47271,"corporation":false,"usgs":true,"family":"Butler","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stahlschmidt, Zachary R.","contributorId":78225,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Zachary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ardia, Daniel R.","contributorId":15915,"corporation":false,"usgs":true,"family":"Ardia","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davies, Scott","contributorId":101546,"corporation":false,"usgs":true,"family":"Davies","given":"Scott","email":"","affiliations":[],"preferred":false,"id":481443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Jon","contributorId":53273,"corporation":false,"usgs":true,"family":"Davis","given":"Jon","email":"","affiliations":[],"preferred":false,"id":481439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guillette, Louis J. 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