The Antillean manatee (Trichechus manatus manatus), a subspecies of the West Indian manatee, is listed as endangered by the US Department of Interior. In accordance with its listing, the U.S. Fish and Wildlife Service’s Caribbean Field Office (USFWS) is mandated to create one or more Manatee Protection Areas (MPAs) for Puerto Rico. Designation of these areas must comply with the legal definition of an MPA’s purpose: to prevent or reduce take of manatees (CFR 50: 44 FR 60964, Oct. 22, 1979). To meet this goal, we pursued two objectives: 1) identify areas which include the specific ecological attributes necessary to support manatee populations, and 2) identify areas where take can be reduced through approved MPA regulatory frameworks. We achieved these objectives through literature review, expert elicitation, and geospatial modeling. This report delivers to USFWS a set of nine potential MPA regions. These regions represent the spatial realization of experts’ hypotheses regarding manatee requirements and threats, and the potential to implement MPA strategies (e.g. watercraft access, speed regulations, signage and boater education). The nine regions are compared based on a number of factors, including their potential to reduce take, quality of the habitat encompassed, and total area. These maps and statistics serve as suitable starting points to select one or more MPA sites, but we recommend that the mapped attributes and threats (i.e., boating activity) of MPAs be ground-truthed to visually confirm the local presence of resources, threats, and manatees before any area is selected. Once established, the effectiveness of MPAs can be monitored and updated through processes of adaptive monitoring and management. Aerial surveys, radio tracking studies, and public surveys are all valuable tools to assess the success of an MPA. Establishing MPAs is a management action that, integrated within the species Recovery Plan, should enhance the conservation of manatees.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/CSS.101.2013","usgsCitation":"Drew, C.A., Alexander-Vaughn, L.B., and Collazo, J., 2012, Science summary in support of Manatee Protection Area (MPA) design in Puerto Rico: Cooperator Science Series FWS/CSS-101-2012, ii, 63 p., https://doi.org/10.3996/CSS.101.2013.","productDescription":"ii, 63 p.","numberOfPages":"68","ipdsId":"IP-043436","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488740,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://digitalmedia.fws.gov/cdm/ref/collection/document/id/1907","text":"External Repository"},{"id":350599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac9e4b06e28e9c9a923","contributors":{"authors":[{"text":"Drew, C. Ashton","contributorId":140953,"corporation":false,"usgs":false,"family":"Drew","given":"C.","email":"","middleInitial":"Ashton","affiliations":[],"preferred":false,"id":725796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander-Vaughn, Louise B.","contributorId":199257,"corporation":false,"usgs":false,"family":"Alexander-Vaughn","given":"Louise","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":713800,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038147,"text":"70038147 - 2012 - Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA","interactions":[],"lastModifiedDate":"2017-04-06T14:27:51","indexId":"70038147","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA","docAbstract":"With an ever expanding population, potential climate variability and an increasing demand for agriculture-based alternative fuels, accurate agricultural land-cover classification for specific crops and their spatial distributions are becoming critical to researchers, policymakers, land managers and farmers. It is important to ensure the sustainability of these and other land uses and to quantify the net impacts that certain management practices have on the environment. Although other quality crop classification products are often available, temporal and spatial coverage gaps can create complications for certain regional or time-specific applications. Our goal was to develop a model capable of classifying major crops in the Greater Platte River Basin (GPRB) for the post-2000 era to supplement existing crop classification products. This study identifies annual spatial distributions and area totals of corn, soybeans, wheat and other crops across the GPRB from 2000 to 2009. We developed a regression tree classification model based on 2.5 million training data points derived from the National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) in relation to a variety of other relevant input environmental variables. The primary input variables included the weekly 250 m US Geological Survey Earth Observing System Moderate Resolution Imaging Spectroradiometer normalized differential vegetation index, average long-term growing season temperature, average long-term growing season precipitation and yearly start of growing season. An overall model accuracy rating of 78% was achieved for a test sample of roughly 215 000 independent points that were withheld from model training. Ten 250 m resolution annual crop classification maps were produced and evaluated for the GPRB region, one for each year from 2000 to 2009. In addition to the model accuracy assessment, our validation focused on spatial distribution and county-level crop area totals in comparison with the NASS CDL and county statistics from the US Department of Agriculture (USDA) Census of Agriculture. The results showed that our model produced crop classification maps that closely resembled the spatial distribution trends observed in the NASS CDL and exhibited a close linear agreement with county-by-county crop area totals from USDA census data (R 2 = 0.90).
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/01431161.2012.680617","usgsCitation":"Howard, D., Wylie, B.K., and Tieszen, L.L., 2012, Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA: International Journal of Remote Sensing, v. 33, no. 19, p. 6094-6108, https://doi.org/10.1080/01431161.2012.680617.","productDescription":"15 p.","startPage":"6094","endPage":"6108","ipdsId":"IP-034381","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","otherGeospatial":"Greater Platte River Basin","volume":"33","issue":"19","noUsgsAuthors":false,"publicationDate":"2012-04-19","publicationStatus":"PW","scienceBaseUri":"58808d55e4b01dfadfff1538","contributors":{"authors":[{"text":"Howard, Daniel M. 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":97795,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","affiliations":[],"preferred":false,"id":514113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":514111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":514112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032602,"text":"70032602 - 2012 - Hierarchy in factors affecting fish biodiversity in floodplain lakes of the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2020-11-30T18:35:45.60633","indexId":"70032602","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchy in factors affecting fish biodiversity in floodplain lakes of the Mississippi Alluvial Valley","docAbstract":"River-floodplain ecosystems offer some of the most diverse and dynamic environments in the world. Accordingly, floodplain habitats harbor diverse fish assemblages. Fish biodiversity in floodplain lakes may be influenced by multiple variables operating on disparate scales, and these variables may exhibit a hierarchical organization depending on whether one variable governs another. In this study, we examined the interaction between primary variables descriptive of floodplain lake large-scale features, suites of secondary variables descriptive of water quality and primary productivity, and a set of tertiary variables descriptive of fish biodiversity across a range of floodplain lakes in the Mississippi Alluvial Valley of Mississippi and Arkansas (USA). Lakes varied considerably in their representation of primary, secondary, and tertiary variables. Multivariate direct gradient analyses indicated that lake maximum depth and the percentage of agricultural land surrounding a lake were the most important factors controlling variation in suites of secondary and tertiary variables, followed to a lesser extent by lake surface area. Fish biodiversity was generally greatest in large, deep lakes with lower proportions of watershed agricultural land. Our results may help foster a holistic approach to floodplain lake management and suggest the framework for a feedback model wherein primary variables can be manipulated for conservation and restoration purposes and secondary and tertiary variables can be used to monitor the success of such efforts.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-011-9923-y","issn":"03781909","usgsCitation":"Dembkowski, D., and Miranda, L., 2012, Hierarchy in factors affecting fish biodiversity in floodplain lakes of the Mississippi Alluvial Valley: Environmental Biology of Fishes, v. 93, no. 3, p. 357-368, https://doi.org/10.1007/s10641-011-9923-y.","productDescription":"12 p.","startPage":"357","endPage":"368","costCenters":[],"links":[{"id":241656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213978,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-011-9923-y"}],"country":"United States","state":"Arkansas, Mississippi","otherGeospatial":"Lower Mississippi Alluvial Valley region of Mississippi and Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.285400390625,\n 32.690243035492266\n ],\n [\n -90.845947265625,\n 32.759562025650126\n ],\n [\n -90.7855224609375,\n 33.902336404480685\n ],\n [\n -90.2801513671875,\n 34.67839374011646\n ],\n [\n -89.84069824218749,\n 35.44724605551148\n ],\n [\n -90.5877685546875,\n 35.51881428123057\n ],\n [\n -91.3568115234375,\n 33.911454454267606\n ],\n [\n -91.285400390625,\n 32.690243035492266\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-09-09","publicationStatus":"PW","scienceBaseUri":"505a30a7e4b0c8380cd5d822","contributors":{"authors":[{"text":"Dembkowski, D.J.","contributorId":31995,"corporation":false,"usgs":true,"family":"Dembkowski","given":"D.J.","affiliations":[],"preferred":false,"id":437014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, L.E.","contributorId":58406,"corporation":false,"usgs":true,"family":"Miranda","given":"L.E.","affiliations":[],"preferred":false,"id":437015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032386,"text":"70032386 - 2012 - Application of a weighted-averaging method for determining paleosalinity: a tool for restoration of south Florida's estuaries","interactions":[],"lastModifiedDate":"2013-04-08T22:28:07","indexId":"70032386","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Application of a weighted-averaging method for determining paleosalinity: a tool for restoration of south Florida's estuaries","docAbstract":"A molluscan analogue dataset is presented in conjunction with a weighted-averaging technique as a tool for estimating past salinity patterns in south Florida’s estuaries and developing targets for restoration based on these reconstructions. The method, here referred to as cumulative weighted percent (CWP), was tested using modern surficial samples collected in Florida Bay from sites located near fixed water monitoring stations that record salinity. The results were calibrated using species weighting factors derived from examining species occurrence patterns. A comparison of the resulting calibrated species-weighted CWP (SW-CWP) to the observed salinity at the water monitoring stations averaged over a 3-year time period indicates, on average, the SW-CWP comes within less than two salinity units of estimating the observed salinity. The SW-CWP reconstructions were conducted on a core from near the mouth of Taylor Slough to illustrate the application of the method.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-011-9441-3","issn":"15592723","usgsCitation":"Wingard, G., and Hudley, J., 2012, Application of a weighted-averaging method for determining paleosalinity: a tool for restoration of south Florida's estuaries: Estuaries and Coasts, v. 35, no. 1, p. 262-280, https://doi.org/10.1007/s12237-011-9441-3.","productDescription":"19 p.","startPage":"262","endPage":"280","costCenters":[{"id":563,"text":"South Florida Information Access","active":false,"usgs":true}],"links":[{"id":213780,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-011-9441-3"},{"id":241438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.0,31.0 ], [ -80.0,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5059ec8be4b0c8380cd49325","contributors":{"authors":[{"text":"Wingard, G.L.","contributorId":79981,"corporation":false,"usgs":true,"family":"Wingard","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":435911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudley, J.W.","contributorId":18872,"corporation":false,"usgs":true,"family":"Hudley","given":"J.W.","affiliations":[],"preferred":false,"id":435910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032601,"text":"70032601 - 2012 - Monitoring biodegradation of ethene and bioremediation of chlorinated ethenes at a contaminated site using compound-specific isotope analysis (CSIA)","interactions":[],"lastModifiedDate":"2013-06-04T14:55:06","indexId":"70032601","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Monitoring biodegradation of ethene and bioremediation of chlorinated ethenes at a contaminated site using compound-specific isotope analysis (CSIA)","docAbstract":"Chlorinated ethenes are commonly found in contaminated groundwater. Remediation strategies focus on transformation processes that will ultimately lead to nontoxic products. A major concern with these strategies is the possibility of incomplete dechlorination and accumulation of toxic daughter products (cis-1,2-dichloroethene (cDCE), vinyl chloride (VC)). Ethene mass balance can be used as a direct indicator to assess the effectiveness of dechlorination. However, the microbial processes that affect ethene are not well characterized and poor mass balance may reflect biotransformation of ethene rather than incomplete dechlorination. Microbial degradation of ethene is commonly observed in aerobic systems but fewer cases have been reported in anaerobic systems. Limited information is available on the isotope enrichment factors associated with these processes. Using compound-specific isotope analysis (CSIA) we determined the enrichment factors associated with microbial degradation of ethene in anaerobic microcosms (ε = −6.7‰ ± 0.4‰, and −4.0‰ ± 0.8‰) from cultures collected from the Twin Lakes wetland area at the Savannah River site in Georgia (United States), and in aerobic microcosms (ε = −3.0‰ ± 0.3‰) from Mycobacterium sp. strain JS60. Under anaerobic and aerobic conditions, CSIA can be used to determine whether biotransformation of ethene is occurring in addition to biodegradation of the chlorinated ethenes. Using δ13C values determined for ethene and for chlorinated ethenes at a contaminated field site undergoing bioremediation, this study demonstrates how CSIA of ethene can be used to reduce uncertainty and risk at a site by distinguishing between actual mass balance deficits during reductive dechlorination and apparent lack of mass balance that is related to biotransformation of ethene.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/es202792x","issn":"0013936X","usgsCitation":"Mundle, S., Johnson, T., Lacrampe-Couloume, G., Perez-De-Mora, A., Duhamel, M., Edwards, E., McMaster, M., Cox, E., Revesz, K., and Lollar, B.S., 2012, Monitoring biodegradation of ethene and bioremediation of chlorinated ethenes at a contaminated site using compound-specific isotope analysis (CSIA): Environmental Science & Technology, v. 46, no. 3, p. 1731-1738, https://doi.org/10.1021/es202792x.","productDescription":"8 p.","startPage":"1731","endPage":"1738","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":213977,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es202792x"},{"id":241655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-01-19","publicationStatus":"PW","scienceBaseUri":"505a5d90e4b0c8380cd70462","contributors":{"authors":[{"text":"Mundle, S.O.C.","contributorId":107112,"corporation":false,"usgs":true,"family":"Mundle","given":"S.O.C.","email":"","affiliations":[],"preferred":false,"id":437013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, T.","contributorId":45392,"corporation":false,"usgs":true,"family":"Johnson","given":"T.","email":"","affiliations":[],"preferred":false,"id":437006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacrampe-Couloume, G.","contributorId":29228,"corporation":false,"usgs":true,"family":"Lacrampe-Couloume","given":"G.","email":"","affiliations":[],"preferred":false,"id":437005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez-De-Mora, A.","contributorId":46780,"corporation":false,"usgs":true,"family":"Perez-De-Mora","given":"A.","email":"","affiliations":[],"preferred":false,"id":437008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duhamel, M.","contributorId":17434,"corporation":false,"usgs":true,"family":"Duhamel","given":"M.","email":"","affiliations":[],"preferred":false,"id":437004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, E.A.","contributorId":93713,"corporation":false,"usgs":true,"family":"Edwards","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":437010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McMaster, M.L.","contributorId":45912,"corporation":false,"usgs":true,"family":"McMaster","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":437007,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cox, E.","contributorId":77883,"corporation":false,"usgs":true,"family":"Cox","given":"E.","email":"","affiliations":[],"preferred":false,"id":437009,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Revesz, K.","contributorId":95202,"corporation":false,"usgs":true,"family":"Revesz","given":"K.","affiliations":[],"preferred":false,"id":437011,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lollar, B. Sherwood","contributorId":106719,"corporation":false,"usgs":true,"family":"Lollar","given":"B.","email":"","middleInitial":"Sherwood","affiliations":[],"preferred":false,"id":437012,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70032504,"text":"70032504 - 2012 - A preliminary assessment of the spatial sources of contemporary suspended sediment in the Ohio River basin, United States, using water quality data from the NASQAN programme in a source tracing procedure","interactions":[],"lastModifiedDate":"2020-11-30T22:59:35.127641","indexId":"70032504","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A preliminary assessment of the spatial sources of contemporary suspended sediment in the Ohio River basin, United States, using water quality data from the NASQAN programme in a source tracing procedure","docAbstract":"Reliable information on catchment scale suspended sediment sources is required to inform the design of management strategies for helping abate the numerous environmental issues associated with enhanced sediment mobilization and off‐site loadings. Since sediment fingerprinting techniques avoid many of the logistical constraints associated with using more traditional indirect measurement methods at catchment scale, such approaches have been increasingly reported in the international literature and typically use data sets collected specifically for sediment source apportionment purposes. There remains scope for investigating the potential for using geochemical data sets assembled by routine monitoring programmes to fingerprint sediment provenance. In the United States, routine water quality samples are collected as part of the US Geological Survey's revised National Stream Quality Accounting Network programme. Accordingly, the geochemistry data generated from these samples over a 10‐year period (1996–2006) were used as the basis for a fingerprinting exercise to assess the key tributary sub‐catchment spatial sources of contemporary suspended sediment transported by the Ohio River. Uncertainty associated with the spatial source estimates was quantified using a Monte Carlo approach in conjunction with mass balance modelling. Relative frequency weighted means were used as an alternative way of summarizing the spatial source contributions, thereby avoiding the need to use confidence limits. The results should be interpreted in the context of the routine, but infrequent nature, of the suspended sediment samples used to assemble geochemistry as a basis for the sourcing exercise. Nonetheless, the study demonstrates how routine monitoring samples can be used to provide some preliminary information on sediment provenance in large drainage basins.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8128","issn":"08856087","usgsCitation":"Zhang, Y., Collins, A., and Horowitz, A.J., 2012, A preliminary assessment of the spatial sources of contemporary suspended sediment in the Ohio River basin, United States, using water quality data from the NASQAN programme in a source tracing procedure: Hydrological Processes, v. 26, no. 3, p. 326-334, https://doi.org/10.1002/hyp.8128.","productDescription":"9 p.","startPage":"326","endPage":"334","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":241756,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214068,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8128"}],"country":"United States","state":"Tennessee, Ohio, West Virginia, Pennsylvania, Indiana, Kentucky","otherGeospatial":"Ohio River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5390625,\n 41.705728515237524\n ],\n [\n -87.978515625,\n 37.71859032558816\n ],\n [\n -90,\n 35.460669951495305\n ],\n [\n -84.19921875,\n 35.24561909420681\n ],\n [\n -81.73828125,\n 37.996162679728116\n ],\n [\n -80.15625,\n 40.17887331434696\n ],\n [\n -80.068359375,\n 41.77131167976407\n ],\n [\n -84.19921875,\n 41.96765920367816\n ],\n [\n -87.5390625,\n 41.705728515237524\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-19","publicationStatus":"PW","scienceBaseUri":"5059e4f1e4b0c8380cd46a2e","contributors":{"authors":[{"text":"Zhang, Y.-S.","contributorId":94057,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.-S.","email":"","affiliations":[],"preferred":false,"id":436516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, A.L.","contributorId":67741,"corporation":false,"usgs":true,"family":"Collins","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":436515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horowitz, Arthur J. 0000-0002-3296-730X horowitz@usgs.gov","orcid":"https://orcid.org/0000-0002-3296-730X","contributorId":1400,"corporation":false,"usgs":true,"family":"Horowitz","given":"Arthur","email":"horowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436517,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032402,"text":"70032402 - 2012 - Spatial interpolation schemes of daily precipitation for hydrologic modeling","interactions":[],"lastModifiedDate":"2020-12-01T22:44:17.77653","indexId":"70032402","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3478,"text":"Stochastic Environmental Research and Risk Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Spatial interpolation schemes of daily precipitation for hydrologic modeling","docAbstract":"Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the authors propose a two-step regression technique for effective daily precipitation estimation. In this simple two-step estimation process, precipitation occurrence is first generated via a logistic regression model before estimate the amount of precipitation separately on wet days. This process generated the precipitation occurrence, amount, and spatial correlation effectively. A distributed hydrologic model (PRMS) was used for the impact analysis in daily time step simulation. Multiple simulations suggested noticeable differences between the input alternatives generated by three different interpolation schemes. Differences are shown in overall simulation error against the observations, degree of explained variability, and seasonal volumes. Simulated streamflows also showed different characteristics in mean, maximum, minimum, and peak flows. Given the same parameter optimization technique, LWP input showed least streamflow error in Alapaha basin and CMLR input showed least error (still very close to LWP) in Animas basin. All of the two-step interpolation inputs resulted in lower streamflow error compared to the directly interpolated inputs.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00477-011-0509-1","issn":"14363240","usgsCitation":"Hwang, Y., Clark, M., Rajagopalan, B., and Leavesley, G.H., 2012, Spatial interpolation schemes of daily precipitation for hydrologic modeling: Stochastic Environmental Research and Risk Assessment, v. 26, no. 2, p. 295-320, https://doi.org/10.1007/s00477-011-0509-1.","productDescription":"26 p.","startPage":"295","endPage":"320","costCenters":[],"links":[{"id":214027,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00477-011-0509-1"},{"id":241714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Georgia","otherGeospatial":"Durango, Statenville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.0010986328125,\n 37.118716304960124\n ],\n [\n -107.78961181640625,\n 37.118716304960124\n ],\n [\n -107.78961181640625,\n 37.32102825630305\n ],\n [\n -108.0010986328125,\n 37.32102825630305\n ],\n [\n -108.0010986328125,\n 37.118716304960124\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.078369140625,\n 30.637912028341123\n ],\n [\n -82.85888671875,\n 30.637912028341123\n ],\n [\n -82.85888671875,\n 32.519026027827515\n ],\n [\n -84.078369140625,\n 32.519026027827515\n ],\n [\n -84.078369140625,\n 30.637912028341123\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-07-06","publicationStatus":"PW","scienceBaseUri":"505b9483e4b08c986b31ab31","contributors":{"authors":[{"text":"Hwang, Y.","contributorId":62034,"corporation":false,"usgs":true,"family":"Hwang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":435983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, M.R.","contributorId":88135,"corporation":false,"usgs":true,"family":"Clark","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":435985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rajagopalan, B.","contributorId":86947,"corporation":false,"usgs":true,"family":"Rajagopalan","given":"B.","email":"","affiliations":[],"preferred":false,"id":435984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leavesley, George H. george@usgs.gov","contributorId":1202,"corporation":false,"usgs":true,"family":"Leavesley","given":"George","email":"george@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":435986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032510,"text":"70032510 - 2012 - Three-dimensional sensitivity distribution and sample volume of low-induction-number electromagnetic-induction instruments","interactions":[],"lastModifiedDate":"2020-11-30T22:51:50.162574","indexId":"70032510","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional sensitivity distribution and sample volume of low-induction-number electromagnetic-induction instruments","docAbstract":"There is an ongoing effort to improve the understanding of the correlation of soil properties with apparent soil electrical conductivity as measured by low‐induction‐number electromagnetic‐induction (LIN FEM) instruments. At a minimum, the dimensions of LIN FEM instruments' sample volume, the spatial distribution of sensitivity within that volume, and implications for surveying and analyses must be clearly defined and discussed. Therefore, a series of numerical simulations was done in which a conductive perturbation was moved systematically through homogeneous soil to elucidate the three‐dimensional sample volume of LIN FEM instruments. For a small perturbation with electrical conductivity similar to that of the soil, instrument response is a measure of local sensitivity (LS). Our results indicate that LS depends strongly on the orientation of the instrument's transmitter and receiver coils and includes regions of both positive and negative LS. Integration of the absolute value of LS from highest to lowest was used to contour cumulative sensitivity (CS). The 90% CS contour was used to define the sample volume. For both horizontal and vertical coplanar coil orientations, the longest dimension of the sample volume was at the surface along the main instrument axis with a length of about four times the intercoil spacing (s) with maximum thicknesses of about 1 and 0.3 s, respectively. The imaged distribution of spatial sensitivity within the sample volume is highly complex and should be considered in conjunction with the expected scale of heterogeneity before the use and interpretation of LIN FEM for mapping and profiling.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2011.0003","issn":"03615995","usgsCitation":"Callegary, J.B., Ferre, T., and Groom, R., 2012, Three-dimensional sensitivity distribution and sample volume of low-induction-number electromagnetic-induction instruments: Soil Science Society of America Journal, v. 76, no. 1, p. 85-91, https://doi.org/10.2136/sssaj2011.0003.","productDescription":"7 p.","startPage":"85","endPage":"91","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":241312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213663,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2011.0003"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb346e4b08c986b325cae","contributors":{"authors":[{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, T.P.A.","contributorId":196167,"corporation":false,"usgs":false,"family":"Ferre","given":"T.P.A.","email":"","affiliations":[],"preferred":false,"id":436541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, R.W.","contributorId":59634,"corporation":false,"usgs":true,"family":"Groom","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":436542,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032538,"text":"70032538 - 2012 - Species traits and environmental conditions govern the relationship between biodiversity effects across trophic levels","interactions":[],"lastModifiedDate":"2020-11-30T22:06:47.321118","indexId":"70032538","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Species traits and environmental conditions govern the relationship between biodiversity effects across trophic levels","docAbstract":"Changing environments can have divergent effects on biodiversity–ecosystem function relationships at alternating trophic levels. Freshwater mussels fertilize stream foodwebs through nutrient excretion, and mussel species-specific excretion rates depend on environmental conditions. We asked how differences in mussel diversity in varying environments influence the dynamics between primary producers and consumers. We conducted field experiments manipulating mussel richness under summer (low flow, high temperature) and fall (moderate flow and temperature) conditions, measured nutrient limitation, algal biomass and grazing chironomid abundance, and analyzed the data with non-transgressive overyielding and tripartite biodiversity partitioning analyses. Algal biomass and chironomid abundance were best explained by trait-independent complementarity among mussel species, but the relationship between biodiversity effects across trophic levels (algae and grazers) depended on seasonal differences in mussel species’ trait expression (nutrient excretion and activity level). Both species identity and overall diversity effects were related to the magnitude of nutrient limitation. Our results demonstrate that biodiversity of a resource-provisioning (nutrients and habitat) group of species influences foodweb dynamics and that understanding species traits and environmental context are important for interpreting biodiversity experiments.
","language":"English","publisher":"Springer- Verlag","doi":"10.1007/s00442-011-2110-1","issn":"00298549","usgsCitation":"Spooner, D., Vaughn, C., and Galbraith, H., 2012, Species traits and environmental conditions govern the relationship between biodiversity effects across trophic levels: Oecologia, v. 168, no. 2, p. 533-548, https://doi.org/10.1007/s00442-011-2110-1.","productDescription":"16 p.","startPage":"533","endPage":"548","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":241724,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214037,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-011-2110-1"}],"volume":"168","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"505b9514e4b08c986b31ad22","contributors":{"authors":[{"text":"Spooner, D.E.","contributorId":26528,"corporation":false,"usgs":true,"family":"Spooner","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":436711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughn, C.C.","contributorId":40027,"corporation":false,"usgs":true,"family":"Vaughn","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":436712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galbraith, H.S. 0000-0003-3704-3517","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":94509,"corporation":false,"usgs":true,"family":"Galbraith","given":"H.S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":436713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032534,"text":"70032534 - 2012 - Target loads of atmospheric sulfur and nitrogen deposition for protection of acid sensitive aquatic resources in the Adirondack Mountains, New York","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032534","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Target loads of atmospheric sulfur and nitrogen deposition for protection of acid sensitive aquatic resources in the Adirondack Mountains, New York","docAbstract":"The dynamic watershed acid-base chemistry model of acidification of groundwater in catchments (MAGIC) was used to calculate target loads (TLs) of atmospheric sulfur and nitrogen deposition expected to be protective of aquatic health in lakes in the Adirondack ecoregion of New York. The TLs were calculated for two future dates (2050 and 2100) and three levels of protection against lake acidification (acid neutralizing capacity (ANC) of 0, 20, and 50 eq L -1). Regional sulfur and nitrogen deposition estimates were combined with TLs to calculate exceedances. Target load results, and associated exceedances, were extrapolated to the regional population of Adirondack lakes. About 30% of Adirondack lakes had simulated TL of sulfur deposition less than 50 meq m -2 yr to protect lake ANC to 50 eq L -1. About 600 Adirondack lakes receive ambient sulfur deposition that is above this TL, in some cases by more than a factor of 2. Some critical criteria threshold values were simulated to be unobtainable in some lakes even if sulfur deposition was to be decreased to zero and held at zero until the specified endpoint year. We also summarize important lessons for the use of target loads in the management of acid-impacted aquatic ecosystems, such as those in North America, Europe, and Asia. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011WR011171","issn":"00431397","usgsCitation":"Sullivan, T., Cosby, B., Driscoll, C.T., McDonnell, T., Herlihy, A., and Burns, D.A., 2012, Target loads of atmospheric sulfur and nitrogen deposition for protection of acid sensitive aquatic resources in the Adirondack Mountains, New York: Water Resources Research, v. 48, no. 1, https://doi.org/10.1029/2011WR011171.","costCenters":[],"links":[{"id":474639,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011171","text":"Publisher Index Page"},{"id":213974,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011171"},{"id":241652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-31","publicationStatus":"PW","scienceBaseUri":"505ba3e2e4b08c986b31ff63","contributors":{"authors":[{"text":"Sullivan, T.J.","contributorId":83734,"corporation":false,"usgs":true,"family":"Sullivan","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":436675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosby, B.J.","contributorId":96455,"corporation":false,"usgs":true,"family":"Cosby","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":436676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":436673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, T.C.","contributorId":82139,"corporation":false,"usgs":true,"family":"McDonnell","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":436674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herlihy, A.T.","contributorId":31168,"corporation":false,"usgs":true,"family":"Herlihy","given":"A.T.","affiliations":[],"preferred":false,"id":436672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":29450,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436671,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032516,"text":"70032516 - 2012 - SYBR green-based real-time reverse transcription-PCR for typing and subtyping of all hemagglutinin and neuraminidase genes of avian influenza viruses and comparison to standard serological subtyping tests","interactions":[],"lastModifiedDate":"2020-11-30T22:44:17.172165","indexId":"70032516","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"SYBR green-based real-time reverse transcription-PCR for typing and subtyping of all hemagglutinin and neuraminidase genes of avian influenza viruses and comparison to standard serological subtyping tests","docAbstract":"Continuing outbreaks of H5N1 highly pathogenic (HP) avian influenza virus (AIV) infections of wild birds and poultry worldwide emphasize the need for global surveillance of wild birds. To support the future surveillance activities, we developed a SYBR green-based, real-time reverse transcriptase PCR (rRT-PCR) for detecting nucleoprotein (NP) genes and subtyping 16 hemagglutinin (HA) and 9 neuraminidase (NA) genes simultaneously. Primers were improved by focusing on Eurasian or North American lineage genes; the number of mixed-base positions per primer was set to five or fewer, and the concentration of each primer set was optimized empirically. Also, 30 cycles of amplification of 1:10 dilutions of cDNAs from cultured viruses effectively reduced minor cross- or nonspecific reactions. Under these conditions, 346 HA and 345 NA genes of 349 AIVs were detected, with average sensitivities of NP, HA, and NA genes of 101.5, 102.3, and 103.1 50% egg infective doses, respectively. Utility of rRT-PCR for subtyping AIVs was compared with that of current standard serological tests by using 104 recent migratory duck virus isolates. As a result, all HA genes and 99% of the NA genes were genetically subtyped, while only 45% of HA genes and 74% of NA genes were serologically subtyped. Additionally, direct subtyping of AIVs in fecal samples was possible by 40 cycles of amplification: approximately 70% of HA and NA genes of NP gene-positive samples were successfully subtyped. This validation study indicates that rRT-PCR with optimized primers and reaction conditions is a powerful tool for subtyping varied AIVs in clinical and cultured samples.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JCM.01195-11","issn":"00951137","usgsCitation":"Tsukamoto, K., Javier, P., Shishido, M., Noguchi, D., Pearce, J.M., Kang, H., Jeong, O., Lee, Y., Nakanishi, K., and Ashizawa, T., 2012, SYBR green-based real-time reverse transcription-PCR for typing and subtyping of all hemagglutinin and neuraminidase genes of avian influenza viruses and comparison to standard serological subtyping tests: Journal of Clinical Microbiology, v. 50, no. 1, p. 37-45, https://doi.org/10.1128/JCM.01195-11.","productDescription":"9 p.","startPage":"37","endPage":"45","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":474652,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jcm.01195-11","text":"Publisher Index Page"},{"id":241412,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213755,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/JCM.01195-11"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aafb1e4b0c8380cd87725","contributors":{"authors":[{"text":"Tsukamoto, K.","contributorId":67303,"corporation":false,"usgs":true,"family":"Tsukamoto","given":"K.","email":"","affiliations":[],"preferred":false,"id":436582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Javier, P.C.","contributorId":78947,"corporation":false,"usgs":true,"family":"Javier","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":436584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shishido, M.","contributorId":90547,"corporation":false,"usgs":true,"family":"Shishido","given":"M.","email":"","affiliations":[],"preferred":false,"id":436585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noguchi, D.","contributorId":12701,"corporation":false,"usgs":true,"family":"Noguchi","given":"D.","email":"","affiliations":[],"preferred":false,"id":436578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":436580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kang, H.-M.","contributorId":31586,"corporation":false,"usgs":true,"family":"Kang","given":"H.-M.","email":"","affiliations":[],"preferred":false,"id":436581,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jeong, O.M.","contributorId":74209,"corporation":false,"usgs":true,"family":"Jeong","given":"O.M.","email":"","affiliations":[],"preferred":false,"id":436583,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Y.-J.","contributorId":13793,"corporation":false,"usgs":true,"family":"Lee","given":"Y.-J.","affiliations":[],"preferred":false,"id":436579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nakanishi, K.","contributorId":95697,"corporation":false,"usgs":true,"family":"Nakanishi","given":"K.","email":"","affiliations":[],"preferred":false,"id":436586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ashizawa, T.","contributorId":101889,"corporation":false,"usgs":true,"family":"Ashizawa","given":"T.","email":"","affiliations":[],"preferred":false,"id":436587,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70032600,"text":"70032600 - 2012 - Tidally driven export of dissolved organic carbon, total mercury, and methylmercury from a mangrove-dominated estuary","interactions":[],"lastModifiedDate":"2020-11-30T18:56:13.033445","indexId":"70032600","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Tidally driven export of dissolved organic carbon, total mercury, and methylmercury from a mangrove-dominated estuary","docAbstract":"The flux of dissolved organic carbon (DOC) from mangrove swamps accounts for 10% of the global terrestrial flux of DOC to coastal oceans. Recent findings of high concentrations of mercury (Hg) and methylmercury (MeHg) in mangroves, in conjunction with the common co-occurrence of DOC and Hg species, have raised concerns that mercury fluxes may also be large. We used a novel approach to estimate export of DOC, Hg, and MeHg to coastal waters from a mangrove-dominated estuary in Everglades National Park (Florida, USA). Using in situ measurements of fluorescent dissolved organic matter as a proxy for DOC, filtered total Hg, and filtered MeHg, we estimated the DOC yield to be 180 (±12.6) g C m–2 yr–1, which is in the range of previously reported values. Although Hg and MeHg yields from tidal mangrove swamps have not been previously measured, our estimated yields of Hg species (28 ± 4.5 μg total Hg m–2 yr–1 and 3.1 ± 0.4 μg methyl Hg m–2 yr–1) were five times greater than is typically reported for terrestrial wetlands. These results indicate that in addition to the well documented contributions of DOC, tidally driven export from mangroves represents a significant potential source of Hg and MeHg to nearby coastal waters.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es2029137","issn":"0013936X","usgsCitation":"Bergamaschi, B.A., Krabbenhoft, D., Aiken, G., Patino, E., Rumbold, D., and Orem, W.H., 2012, Tidally driven export of dissolved organic carbon, total mercury, and methylmercury from a mangrove-dominated estuary: Environmental Science & Technology, v. 46, no. 3, p. 1371-1378, https://doi.org/10.1021/es2029137.","productDescription":"8 p.","startPage":"1371","endPage":"1378","ipdsId":"IP-031885","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474680,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es2029137","text":"Publisher Index Page"},{"id":241626,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213949,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es2029137"}],"country":"United States","state":"Florida","otherGeospatial":"Gunboat Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.5625,\n 24.9113494218506\n ],\n [\n -80.4473876953125,\n 24.9113494218506\n ],\n [\n -80.4473876953125,\n 26.00248714194576\n ],\n [\n -81.5625,\n 26.00248714194576\n ],\n [\n -81.5625,\n 24.9113494218506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-01-19","publicationStatus":"PW","scienceBaseUri":"505bb381e4b08c986b325e1c","chorus":{"doi":"10.1021/es2029137","url":"http://dx.doi.org/10.1021/es2029137","publisher":"American Chemical Society (ACS)","authors":"Bergamaschi Brian A., Krabbenhoft David P., Aiken George R., Patino Eduardo, Rumbold Darren G., Orem William H.","journalName":"Environmental Science & Technology","publicationDate":"2/7/2012","auditedOn":"3/4/2016","publiclyAccessibleDate":"1/19/2012"},"contributors":{"authors":[{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krabbenhoft, D. P. 0000-0003-1964-5020","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":90765,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"D. P.","affiliations":[],"preferred":false,"id":437002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George","contributorId":209603,"corporation":false,"usgs":true,"family":"Aiken","given":"George","affiliations":[],"preferred":true,"id":436998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Eduardo 0000-0003-1016-3658 epatino@usgs.gov","orcid":"https://orcid.org/0000-0003-1016-3658","contributorId":1743,"corporation":false,"usgs":true,"family":"Patino","given":"Eduardo","email":"epatino@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":437000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rumbold, D.G.","contributorId":76091,"corporation":false,"usgs":true,"family":"Rumbold","given":"D.G.","affiliations":[],"preferred":false,"id":437001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":437003,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032447,"text":"70032447 - 2012 - Post-fledging brood and care division in the roseate tern (Sterna dougallii)","interactions":[],"lastModifiedDate":"2020-12-02T12:52:02.157428","indexId":"70032447","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2271,"text":"Journal of Ethology","active":true,"publicationSubtype":{"id":10}},"title":"Post-fledging brood and care division in the roseate tern (Sterna dougallii)","docAbstract":"Extended post-fledging parental care is an important aspect of parental care in birds, although little studied due to logistic difficulties. Commonly, the brood is split physically (brood division) and/or preferential care is given to a subset of the brood by one parent or the other (care division). Among gulls and tern (Laridae), males and females generally share parental activities during the pre-fledging period, but the allocation of parental care after fledging is little documented. This study examined the behaviour of male and female roseate terns (Sterna dougallii) during the late chick-rearing and early post-fledging periods, and in particular the amount of feeds and the time spent in attendance given to individual chicks/fledglings. Pre-fledging parental care was biparental in all cases. Post-fledging parental care was dependent on the number of fledglings in the brood. Males and females continued biparental care in clutches with one surviving fledgling, while in two-fledgling clutches, males fed the A-fledgling while females fed the B-fledgling. Overall, there was no difference in attendance, only in feeds. This division of care may be influenced by the male only being certain of the paternity of the A-chick but not by chick sex.
","language":"English","publisher":"Springer","doi":"10.1007/s10164-011-0286-9","issn":"02890771","usgsCitation":"Watson, M., Spendelow, J., and Hatch, J., 2012, Post-fledging brood and care division in the roseate tern (Sterna dougallii): Journal of Ethology, v. 30, no. 1, p. 29-34, https://doi.org/10.1007/s10164-011-0286-9.","productDescription":"6 p.","startPage":"29","endPage":"34","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":241374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-12","publicationStatus":"PW","scienceBaseUri":"505a7e65e4b0c8380cd7a502","contributors":{"authors":[{"text":"Watson, M.J.","contributorId":87374,"corporation":false,"usgs":true,"family":"Watson","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":436231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spendelow, J. A. 0000-0001-8167-0898","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":72478,"corporation":false,"usgs":true,"family":"Spendelow","given":"J. A.","affiliations":[],"preferred":false,"id":436229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatch, J.J.","contributorId":76860,"corporation":false,"usgs":true,"family":"Hatch","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":436230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032449,"text":"70032449 - 2012 - Modeling aeolian transport in response to succession, disturbance and future climate: Dynamic long-term risk assessment for contaminant redistribution","interactions":[],"lastModifiedDate":"2018-01-23T08:50:23","indexId":"70032449","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling aeolian transport in response to succession, disturbance and future climate: Dynamic long-term risk assessment for contaminant redistribution","docAbstract":"Aeolian sediment transport is a fundamental process redistributing sediment, nutrients, and contaminants in dryland ecosystems. Over time frames of centuries or longer, horizontal sediment fluxes and associated rates of contaminant transport are likely to be influenced by succession, disturbances, and changes in climate, yet models of horizontal sediment transport that account for these fundamental factors are lacking, precluding in large part accurate assessment of human health risks associated with persistent soil-bound contaminants. We present a simple model based on empirical measurements of horizontal sediment transport (predominantly saltation) to predict potential contaminant transport rates for recently disturbed sites such as a landfill cover. Omnidirectional transport is estimated within vegetation that changes using a simple Markov model that simulates successional trajectory and considers three types of short-term disturbances (surface fire, crown fire, and drought-induced plant mortality) under current and projected climates. The model results highlight that movement of contaminated soil is sensitive to vegetation dynamics and increases substantially (e.g., > fivefold) when disturbance and/or future climate are considered. The time-dependent responses in horizontal sediment fluxes and associated contaminant fluxes were sensitive to variability in the timing of disturbance, with longer intervals between disturbance allowing woody plants to become dominant and crown fire and drought abruptly reducing woody plant cover. Our results, which have direct implications for contaminant transport and landfill management in the specific context of our assessment, also have general relevance because they highlight the need to more fully account for vegetation dynamics, disturbance, and changing climate in aeolian process studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2011.03.012","usgsCitation":"Breshears, D., Kirchner, T., Whicker, J., Field, J., and Allen, C.D., 2012, Modeling aeolian transport in response to succession, disturbance and future climate: Dynamic long-term risk assessment for contaminant redistribution: Aeolian Research, v. 3, no. 4, p. 445-457, https://doi.org/10.1016/j.aeolia.2011.03.012.","productDescription":"13 p.","startPage":"445","endPage":"457","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":241407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bd0e4b0c8380cd6f80c","contributors":{"authors":[{"text":"Breshears, D.D.","contributorId":17952,"corporation":false,"usgs":false,"family":"Breshears","given":"D.D.","email":"","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":436234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirchner, T.B.","contributorId":97330,"corporation":false,"usgs":true,"family":"Kirchner","given":"T.B.","email":"","affiliations":[],"preferred":false,"id":436238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whicker, J.J.","contributorId":35129,"corporation":false,"usgs":true,"family":"Whicker","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":436235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Field, J.P.","contributorId":46773,"corporation":false,"usgs":true,"family":"Field","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":436237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":436236,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032471,"text":"70032471 - 2012 - Analogues of doxanthrine reveal differences between the dopamine D1 receptor binding properties of chromanoisoquinolines and hexahydrobenzo[a]phenanthridines","interactions":[],"lastModifiedDate":"2020-12-01T17:46:12.579975","indexId":"70032471","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1592,"text":"European Journal of Medicinal Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Analogues of doxanthrine reveal differences between the dopamine D1 receptor binding properties of chromanoisoquinolines and hexahydrobenzo[a]phenanthridines","title":"Analogues of doxanthrine reveal differences between the dopamine D1 receptor binding properties of chromanoisoquinolines and hexahydrobenzo[a]phenanthridines","docAbstract":"Efforts to develop selective agonists for dopamine D1-like receptors led to the discovery of dihydrexidine and doxanthrine, two bioisosteric β-phenyldopamine-type full agonist ligands that display selectivity and potency at D1-like receptors. We report herein an improved methodology for the synthesis of substituted chromanoisoquinolines (doxanthrine derivatives) and the evaluation of several new compounds for their ability to bind to D1- and D2-like receptors. Identical pendant phenyl ring substitutions on the dihydrexidine and doxanthrine templates surprisingly led to different effects on D1-like receptor binding, suggesting important differences between the interactions of these ligands with the D1 receptor. We propose, based on the biological results and molecular modeling studies, that slight conformational differences between the tetralin and chroman-based compounds lead to a shift in the location of the pendant ring substituents within the receptor.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejmech.2011.11.039","issn":"02235234","usgsCitation":"Cueva, J., Chemel, B.R., Juncosa, J., Lill, M., Watts, V., and Nichols, D., 2012, Analogues of doxanthrine reveal differences between the dopamine D1 receptor binding properties of chromanoisoquinolines and hexahydrobenzo[a]phenanthridines: European Journal of Medicinal Chemistry, v. 48, p. 97-107, https://doi.org/10.1016/j.ejmech.2011.11.039.","productDescription":"11 p.","startPage":"97","endPage":"107","costCenters":[],"links":[{"id":474649,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3264828","text":"External Repository"},{"id":241753,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214066,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ejmech.2011.11.039"}],"volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eacce4b0c8380cd48a6a","contributors":{"authors":[{"text":"Cueva, J.P.","contributorId":93781,"corporation":false,"usgs":true,"family":"Cueva","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":436359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chemel, Benjamin R.","contributorId":213894,"corporation":false,"usgs":false,"family":"Chemel","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":38924,"text":"Northern Rockies Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":436355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juncosa, J.I. Jr.","contributorId":89023,"corporation":false,"usgs":true,"family":"Juncosa","given":"J.I.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":436358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lill, M.A.","contributorId":84224,"corporation":false,"usgs":true,"family":"Lill","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":436357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watts, V.J.","contributorId":73473,"corporation":false,"usgs":true,"family":"Watts","given":"V.J.","email":"","affiliations":[],"preferred":false,"id":436356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichols, D.E.","contributorId":14268,"corporation":false,"usgs":true,"family":"Nichols","given":"D.E.","affiliations":[],"preferred":false,"id":436354,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168797,"text":"70168797 - 2012 - Olympic Fisher Reintroduction Project: Progress report 2008-2011","interactions":[],"lastModifiedDate":"2018-02-16T13:01:13","indexId":"70168797","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Olympic Fisher Reintroduction Project: Progress report 2008-2011","docAbstract":"This progress report summarizes the final year of activities of Phase I of the Olympic fisher restoration project. The intent of the Olympic fisher reintroduction project is to reestablish a self-sustaining population of fishers on the Olympic Peninsula. To achieve this goal, the Olympic fisher reintroduction project released 90 fishers within Olympic National Park from 2008 to 2010. The reintroduction of fishers to the Olympic Peninsula was designed as an adaptive management project, including the monitoring of released fishers as a means to (1) evaluate reintroduction success, (2) investigate key biological and ecological traits of fishers, and (3) inform future reintroduction, monitoring, and research efforts.\r\nThis report summarizes reintroduction activities and preliminary research and monitoring results completed through December 2011. The report is non-interpretational in nature. Although we report the status of movement, survival, and home range components of the research, we have not completed final analyses and interpretation of research results. Much of the data collected during the monitoring and research project will be analyzed and interpreted in the doctoral dissertation being developed by Jeff Lewis; the completion of this dissertation is anticipated prior to April 2013. We anticipate that this work, and analyses of other data collected during the project, will result in several peer-reviewed scientific publications in ecological and conservation journals, which collectively will comprise the final reporting of work summarized here. These publications will include papers addressing post-release movements, survival, resource selection, food habits, and age determination of fishers.","language":"English","publisher":"Washington Department of Fish and Wildlife ","usgsCitation":"Jeffrey C. Lewis, Happe, P.J., Jenkins, K.J., and Manson, D.J., 2012, Olympic Fisher Reintroduction Project: Progress report 2008-2011, 18 p. .","productDescription":"18 p. ","ipdsId":"IP-045399","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":336283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":318529,"type":{"id":15,"text":"Index Page"},"url":"https://wdfw.wa.gov/publications/01393/wdfw01393.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c5e4b01ccd54fddfe4","contributors":{"authors":[{"text":"Jeffrey C. Lewis","contributorId":167311,"corporation":false,"usgs":false,"family":"Jeffrey C. Lewis","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":621788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Happe, Patti J.","contributorId":167312,"corporation":false,"usgs":false,"family":"Happe","given":"Patti","email":"","middleInitial":"J.","affiliations":[{"id":12587,"text":"Olympic National Park, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":621789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":621787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manson, David J.","contributorId":149635,"corporation":false,"usgs":false,"family":"Manson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":621790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032707,"text":"70032707 - 2012 - Determination of sediment provenance by unmixing the mineralogy of source-area sediments: The \"SedUnMix\" program","interactions":[],"lastModifiedDate":"2020-11-23T19:47:59.186226","indexId":"70032707","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Determination of sediment provenance by unmixing the mineralogy of source-area sediments: The \"SedUnMix\" program","docAbstract":"Along the margins of areas such as Greenland and Baffin Bay, sediment composition reflects a complex mixture of sources associated with the transport of sediment in sea ice, icebergs, melt-water and turbidite plumes. Similar situations arise in many contexts associated with sediment transport and with the mixing of sediments from different source areas. The question is: can contributions from discrete sediment (bedrock) sources be distinguished in a mixed sediment by using mineralogy, and, if so, how accurately? To solve this problem, four end-member source sediments were mixed in various proportions to form eleven artificial mixtures. Two of the end-member sediments are felsic, and the other two have more mafic compositions. End member and mixed sediment mineralogies were measured for the < 2 mm sediment fractions by quantitative X-ray diffraction (qXRD). The proportions of source sediments in the mixtures then were calculated using an Excel macro program named SedUnMix, and the results were evaluated to determine the robustness of the algorithm. The program permits the unmixing of up to six end members, each of which can be represented by up to 5 alternative compositions, so as to better simulate variability within each source region. The results indicate that we can track the relative percentages of the four end members in the mixtures. We recommend, prior to applying the technique to down-core or to other provenance problems, that a suite of known, artificial mixtures of sediments from probable source areas be prepared, scanned, analyzed for quantitative mineralogy, and then analyzed by SedUnMix to check the sensitivity of the method for each specific unmixing problem.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.10.007","issn":"00253227","usgsCitation":"Andrews, J.T., and Eberl, D.D., 2012, Determination of sediment provenance by unmixing the mineralogy of source-area sediments: The \"SedUnMix\" program: Marine Geology, v. 291-294, p. 24-33, https://doi.org/10.1016/j.margeo.2011.10.007.","productDescription":"10 p.","startPage":"24","endPage":"33","costCenters":[],"links":[{"id":241768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214080,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2011.10.007"}],"country":"Canada, Greenland","otherGeospatial":"Baffin Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.1328125,\n 65.2198939361321\n ],\n [\n -47.8125,\n 65.2198939361321\n ],\n [\n -47.8125,\n 78.56048828398782\n ],\n [\n -86.1328125,\n 78.56048828398782\n ],\n [\n -86.1328125,\n 65.2198939361321\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"291-294","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ffc3e4b0c8380cd4f3a4","contributors":{"authors":[{"text":"Andrews, John T.","contributorId":79678,"corporation":false,"usgs":true,"family":"Andrews","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":437569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberl, D. D.","contributorId":66282,"corporation":false,"usgs":true,"family":"Eberl","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":437568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176224,"text":"70176224 - 2012 - Review and update of the applications of organic petrology: Part 2, geological and multidisciplinary applications","interactions":[],"lastModifiedDate":"2016-09-06T12:55:38","indexId":"70176224","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Review and update of the applications of organic petrology: Part 2, geological and multidisciplinary applications","docAbstract":"The present paper is focused on organic petrology applied to unconventional and multidisciplinary investigations and is the second part of a two part review that describes the geological applications and uses of this branch of earth sciences. Therefore, this paper reviews the use of organic petrology in investigations of: (i) ore genesis when organic matter occurs associated with mineralization; (ii) the behavior of organic matter in coal fires (self-heating and self-combustion); (iii) environmental and anthropogenic impacts associated with the management and industrial utilization of coal; (iv) archeology and the nature and geographical provenance of objects of organic nature such as jet, amber, other artifacts and coal from archeological sites; and (v) forensic science connected with criminal behavior or disasters. This second part of the review outlines the most recent research and applications of organic petrology in those fields.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2012.03.005","usgsCitation":"Suarez-Ruiz, I., Flores, D., Mendonça Filho, J., and Hackley, P.C., 2012, Review and update of the applications of organic petrology: Part 2, geological and multidisciplinary applications: International Journal of Coal Geology, v. 98, p. 73-94, https://doi.org/10.1016/j.coal.2012.03.005.","productDescription":"12 p.","startPage":"73","endPage":"94","ipdsId":"IP-033492","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cfe8bce4b04836416a0e11","contributors":{"authors":[{"text":"Suarez-Ruiz, Isabel","contributorId":75072,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"Isabel","affiliations":[],"preferred":false,"id":647903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flores, Deolinda","contributorId":31287,"corporation":false,"usgs":true,"family":"Flores","given":"Deolinda","email":"","affiliations":[],"preferred":false,"id":647902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendonça Filho, João Graciano","contributorId":102768,"corporation":false,"usgs":true,"family":"Mendonça Filho","given":"João Graciano","affiliations":[],"preferred":false,"id":647904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":648092,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193579,"text":"70193579 - 2012 - The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event","interactions":[],"lastModifiedDate":"2017-11-02T10:54:49","indexId":"70193579","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event","docAbstract":"Merapi volcano (Indonesia) is one of the most active and hazardous volcanoes in the world. It is known for frequent small to moderate eruptions, pyroclastic flows produced by lava dome collapse, and the large population settled on and around the flanks of the volcano that is at risk. Its usual behavior for the last decades abruptly changed in late October and early November 2010, when the volcano produced its largest and most explosive eruptions in more than a century, displacing at least a third of a million people, and claiming nearly 400 lives. Despite the challenges involved in forecasting this ‘hundred year eruption’, we show that the magnitude of precursory signals (seismicity, ground deformation, gas emissions) was proportional to the large size and intensity of the eruption. In addition and for the first time, near-real-time satellite radar imagery played an equal role with seismic, geodetic, and gas observations in monitoring eruptive activity during a major volcanic crisis. The Indonesian Center of Volcanology and Geological Hazard Mitigation (CVGHM) issued timely forecasts of the magnitude of the eruption phases, saving 10,000–20,000 lives. In addition to reporting on aspects of the crisis management, we report the first synthesis of scientific observations of the eruption. Our monitoring and petrologic data show that the 2010 eruption was fed by rapid ascent of magma from depths ranging from 5 to 30 km. Magma reached the surface with variable gas content resulting in alternating explosive and rapid effusive eruptions, and released a total of ~ 0.44 Tg of SO2. The eruptive behavior seems also related to the seismicity along a tectonic fault more than 40 km from the volcano, highlighting both the complex stress pattern of the Merapi region of Java and the role of magmatic pressurization in activating regional faults. We suggest a dynamic triggering of the main explosions on 3 and 4 November by the passing seismic waves generated by regional earthquakes on these days.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.06.018","usgsCitation":", S., Jousset, P., Pallister, J.S., Boichu, M., Buongiorno, M.F., Budisantoso, A., Costa, F., Andreastuti, S., Prata, F., Schneider, D.J., Clarisse, L., Humaida, H., Sumarti, S., Bignami, C., Griswold, J.P., Carn, S.A., Oppenheimer, C., and Lavigne, F., 2012, The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event: Journal of Volcanology and Geothermal Research, v. 241-242, p. 121-135, https://doi.org/10.1016/j.jvolgeores.2012.06.018.","productDescription":"15 p.","startPage":"121","endPage":"135","ipdsId":"IP-037583","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488719,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_246296","text":"External Repository"},{"id":348072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Merapi volcano","volume":"241-242","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eb1e4b0531197b28026","contributors":{"authors":[{"text":" Surono","contributorId":149582,"corporation":false,"usgs":false,"given":"Surono","email":"","affiliations":[],"preferred":false,"id":719436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jousset, Philippe","contributorId":194796,"corporation":false,"usgs":false,"family":"Jousset","given":"Philippe","email":"","affiliations":[],"preferred":false,"id":719437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boichu, Marie","contributorId":199559,"corporation":false,"usgs":false,"family":"Boichu","given":"Marie","email":"","affiliations":[],"preferred":false,"id":719439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buongiorno, M. Fabrizia","contributorId":102698,"corporation":false,"usgs":true,"family":"Buongiorno","given":"M.","email":"","middleInitial":"Fabrizia","affiliations":[],"preferred":false,"id":719440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budisantoso, Agus","contributorId":199556,"corporation":false,"usgs":false,"family":"Budisantoso","given":"Agus","email":"","affiliations":[],"preferred":false,"id":719441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":719442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andreastuti, Supriyati","contributorId":82087,"corporation":false,"usgs":true,"family":"Andreastuti","given":"Supriyati","email":"","affiliations":[],"preferred":false,"id":719443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prata, Fred","contributorId":148068,"corporation":false,"usgs":false,"family":"Prata","given":"Fred","email":"","affiliations":[{"id":16991,"text":"Norwegian Institute for Air Research","active":true,"usgs":false}],"preferred":false,"id":719444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":719445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clarisse, Lieven","contributorId":199561,"corporation":false,"usgs":false,"family":"Clarisse","given":"Lieven","email":"","affiliations":[],"preferred":false,"id":719446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Humaida, Hanik","contributorId":199562,"corporation":false,"usgs":false,"family":"Humaida","given":"Hanik","email":"","affiliations":[],"preferred":false,"id":719447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sumarti, Sri","contributorId":149584,"corporation":false,"usgs":false,"family":"Sumarti","given":"Sri","email":"","affiliations":[],"preferred":false,"id":719448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bignami, Christian","contributorId":199563,"corporation":false,"usgs":false,"family":"Bignami","given":"Christian","email":"","affiliations":[],"preferred":false,"id":719449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Griswold, Julia P. griswold@usgs.gov","contributorId":4148,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":719450,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carn, Simon A.","contributorId":28092,"corporation":false,"usgs":true,"family":"Carn","given":"Simon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719451,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Oppenheimer, Clive","contributorId":174445,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Clive","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":719452,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lavigne, Franck","contributorId":66030,"corporation":false,"usgs":true,"family":"Lavigne","given":"Franck","email":"","affiliations":[],"preferred":false,"id":719453,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70032406,"text":"70032406 - 2012 - Functional ecology of saltglands in shorebirds: Flexible responses to variable environmental conditions","interactions":[],"lastModifiedDate":"2020-12-02T12:55:45.584228","indexId":"70032406","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Functional ecology of saltglands in shorebirds: Flexible responses to variable environmental conditions","docAbstract":"1. Birds of marine environments have specialized glands to excrete salt, the saltglands. Located on the skull between the eyes, the size of these organs is expected to reflect their demand, which will vary with water turnover rates as a function of environmental (heat load, salinity of prey and drinking water) and organismal (energy demand, physiological state) factors. On the basis of inter- and intraspecific comparisons of saltgland mass (msg) in 29 species of shorebird (suborder Charadrii) from saline, fresh and mixed water habitats, we assessed the relative roles of organism and environment in determining measured msg species.
2. The allometric exponent, scaling dry msg to shorebird total body mass (mb), was significantly higher for coastal marine species (0Æ88, N = 19) than for nonmarine species (0Æ43, N = 14). Within the marine species, those ingesting bivalves intact had significantly higher msg than species eating soft-bodied invertebrates, indicating that seawater contained within the shells added to the salt load.
3. In red knots (Calidris canutus), dry msg varied with monthly averaged ambient temperature in a U-shaped way, with the lowest mass at 12Æ5 C. This probably reflects increased energy demand for thermoregulation at low temperatures and elevated respiratory water loss at high temperatures. In fuelling bar-tailed godwits (Limosa lapponica), dry msg was positively correlated with intestine mass, an indicator of relative food intake rates. These findings suggest once more that saltgland masses vary within species (and presumably individuals) in relation to salt load, that is a function of energy turnover (thermoregulation and fuelling) and evaporative water needs.
4. Our results support the notion that msg is strongly influenced by habitat salinity, and also by factors influencing salt load and demand for osmotically free water including ambient temperature, prey type and energy intake rates. Saltglands are evidently highly flexible organs. The small size of saltglands when demands are low suggests that any time costs of adjustment are lower than the costs of maintaining a larger size in this small but essential piece of metabolic machinery.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2435.2011.01929.x","issn":"02698463","usgsCitation":"Gutierrez, J., Dietz, M., Masero, J., Gill, R., Dekinga, A., Battley, P.F., Sanchez-Guzman, J.M., and Piersma, T., 2012, Functional ecology of saltglands in shorebirds: Flexible responses to variable environmental conditions: Functional Ecology, v. 26, no. 1, p. 236-244, https://doi.org/10.1111/j.1365-2435.2011.01929.x.","productDescription":"9 p.","startPage":"236","endPage":"244","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":474685,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2435.2011.01929.x","text":"Publisher Index Page"},{"id":241784,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-11-11","publicationStatus":"PW","scienceBaseUri":"505a1411e4b0c8380cd548bb","contributors":{"authors":[{"text":"Gutierrez, J.S.","contributorId":97334,"corporation":false,"usgs":true,"family":"Gutierrez","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":436008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietz, M.W.","contributorId":62842,"corporation":false,"usgs":true,"family":"Dietz","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":436006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masero, J.A.","contributorId":23773,"corporation":false,"usgs":true,"family":"Masero","given":"J.A.","affiliations":[],"preferred":false,"id":436001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":436005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dekinga, Anne","contributorId":52000,"corporation":false,"usgs":true,"family":"Dekinga","given":"Anne","affiliations":[],"preferred":false,"id":436004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Battley, Phil F.","contributorId":27272,"corporation":false,"usgs":false,"family":"Battley","given":"Phil","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":436002,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanchez-Guzman, J. M.","contributorId":65677,"corporation":false,"usgs":true,"family":"Sanchez-Guzman","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":436007,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":436003,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70032269,"text":"70032269 - 2012 - Gene transcription in sea otters (Enhydra lutris); development of a diagnostic tool for sea otter and ecosystem health","interactions":[],"lastModifiedDate":"2017-11-17T16:43:53","indexId":"70032269","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Gene transcription in sea otters (Enhydra lutris); development of a diagnostic tool for sea otter and ecosystem health","title":"Gene transcription in sea otters (Enhydra lutris); development of a diagnostic tool for sea otter and ecosystem health","docAbstract":"Gene transcription analysis for diagnosing or monitoring wildlife health requires the ability to distinguish pathophysiological change from natural variation. Herein, we describe methodology for the development of quantitative real-time polymerase chain reaction (qPCR) assays to measure differential transcript levels of multiple immune function genes in the sea otter (Enhydra lutris); sea otter-specific qPCR primer sequences for the genes of interest are defined. We establish a ‘reference’ range of transcripts for each gene in a group of clinically healthy captive and free-ranging sea otters. The 10 genes of interest represent multiple physiological systems that play a role in immuno-modulation, inflammation, cell protection, tumour suppression, cellular stress response, xenobiotic metabolizing enzymes, antioxidant enzymes and cell–cell adhesion. The cycle threshold (CT) measures for most genes were normally distributed; the complement cytolysis inhibitor was the exception. The relative enumeration of multiple gene transcripts in simple peripheral blood samples expands the diagnostic capability currently available to assess the health of sea otters in situ and provides a better understanding of the state of their environment.","language":"English","publisher":"Blackwell Science","doi":"10.1111/j.1755-0998.2011.03060.x","issn":"1755098X","usgsCitation":"Bowen, L., Miles, A.K., Murray, M., Haulena, M., Tuttle, J., van Bonn, W., Adams, L., Bodkin, J.L., Ballachey, B.E., Estes, J.A., Tinker, M.T., Keister, R., and Stott, J.L., 2012, Gene transcription in sea otters (Enhydra lutris); development of a diagnostic tool for sea otter and ecosystem health: Molecular Ecology Resources, v. 12, no. 1, p. 67-74, https://doi.org/10.1111/j.1755-0998.2011.03060.x.","productDescription":"8 p.","startPage":"67","endPage":"74","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":242742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-17","publicationStatus":"PW","scienceBaseUri":"505a14fbe4b0c8380cd54c5e","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":435352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":435349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, Michael","contributorId":51561,"corporation":false,"usgs":true,"family":"Murray","given":"Michael","affiliations":[],"preferred":false,"id":435357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haulena, Martin","contributorId":35559,"corporation":false,"usgs":true,"family":"Haulena","given":"Martin","email":"","affiliations":[],"preferred":false,"id":435353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuttle, Judy","contributorId":45534,"corporation":false,"usgs":true,"family":"Tuttle","given":"Judy","email":"","affiliations":[],"preferred":false,"id":435355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Bonn, William","contributorId":100631,"corporation":false,"usgs":true,"family":"van Bonn","given":"William","email":"","affiliations":[],"preferred":false,"id":435361,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Lance","contributorId":49998,"corporation":false,"usgs":true,"family":"Adams","given":"Lance","email":"","affiliations":[],"preferred":false,"id":435356,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":435350,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":435354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Estes, James A. jim_estes@usgs.gov","contributorId":53325,"corporation":false,"usgs":true,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":435360,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":435351,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Keister, Robin","contributorId":52416,"corporation":false,"usgs":true,"family":"Keister","given":"Robin","affiliations":[],"preferred":false,"id":435358,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stott, Jeffrey L.","contributorId":82146,"corporation":false,"usgs":true,"family":"Stott","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":435359,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70032290,"text":"70032290 - 2012 - Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA","interactions":[],"lastModifiedDate":"2019-03-15T10:31:01","indexId":"70032290","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA","title":"Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA","docAbstract":"We have developed methods to determine the visible (VIS) to near-infrared (NIR) spectral properties of thalli and epiphytes of bloom-forming and green macrophyte Ulva curvata in back-barrier lagoons in Virginia, USA. A 2% increase in NIR thalli reflectance from winter to summer (ca. 9.5%) matched the drop in summer NIR transmittance (ca. 90%). In contrast, summer and winter VIS reflectance (reaching 6%) were nearly identical while winter transmittance (ca. 85%) was 10–20% higher. NIR absorption remained at 5% but VIS absorption increased by 10–20% from winter to summer. Replicate consistency substantiated the high transmittance difference indicating thallus composition changed from summer to winter. Epiphytes increased thallus reflectance (<ca. 4%) and decreased transmittance (<ca. 10%) and exhibited broadband VIS and NIR absorptions in summer and selective peaks in winter. A simulation coupling water extinction with thallus reflectance and transmittance found seven submerged thalli maximized the surface reflectance enhancement (ca. 2.5%).
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.543436","issn":"01431161","usgsCitation":"Ramsey, E., Rangoonwalaj, A., Thomsen, M., and Schwarzschild, A., 2012, Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA: International Journal of Remote Sensing, v. 33, no. 2, p. 586-603, https://doi.org/10.1080/01431161.2010.543436.","productDescription":"18 p.","startPage":"586","endPage":"603","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":242580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214828,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.543436"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-11-02","publicationStatus":"PW","scienceBaseUri":"505b953be4b08c986b31adfb","contributors":{"authors":[{"text":"Ramsey, E. 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":91310,"corporation":false,"usgs":true,"family":"Ramsey","given":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":435456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwalaj, A. 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":28817,"corporation":false,"usgs":true,"family":"Rangoonwalaj","given":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":435455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomsen, M.S.","contributorId":98962,"corporation":false,"usgs":true,"family":"Thomsen","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":435458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarzschild, A.","contributorId":96913,"corporation":false,"usgs":true,"family":"Schwarzschild","given":"A.","affiliations":[],"preferred":false,"id":435457,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}