{"pageNumber":"169","pageRowStart":"4200","pageSize":"25","recordCount":10462,"records":[{"id":70069106,"text":"70069106 - 2013 - Seasonal flux and assemblage composition of planktic foraminifers from a sediment-trap study in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2014-01-14T11:14:08","indexId":"70069106","displayToPublicDate":"2013-01-16T10:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal flux and assemblage composition of planktic foraminifers from a sediment-trap study in the northern Gulf of Mexico","docAbstract":"Sediment-trap samples from the northern Gulf of Mexico reveal that Globorotalia truncatulinoides, Neogloboquadrina dutertrei, Pulleniatina spp. (includes P. obliquiloculata and P. finalis), and the Globorotalia menardii group (includes Gt. menardii, Gt. tumida, and Gt. ungulata) generally occur in cold months. Globigerinoides ruber (white and pink varieties) and Globigennoides sacculifer occur throughout the year. The seasonal occurrence of individual taxa of planktic foraminifers in the Gulf of Mexico have important differences with the seasonal occurrence of the same taxa observed in a 6-year sediment-trap dataset from the western Sargasso Sea. Thus information on the ecologic preferences of individual taxa determined in one region cannot necessarily be applied directly to another area. In the northern Gulf of Mexico 90% of the total flux of Globorotalia truncatulinoides tests to sediments occurs in January and February. Mg/Ca and d<sup>18</sup>Ο measurements indicate that nonencrusted forms of Gt. truncatulinoides calcify in the upper-surface-mixed zone. Thus, analyses of nonencrusted Gt. truncatulinoides in sediments of the northern Gulf of Mexico have potential for monitoring past conditions in the winter-surface-mixed layer. The relatively low overall abundance of Globigerinoides ruber (white) in sediment-trap samples is anomalous because Gs. ruber (white) is one of the most abundant foraminifers in>150 µm census data from northern Gulf of Mexico Holocene sediment core samples. Globigerinoides ruber (pink) is a relatively persistent and common component of the sediment-trap samples. Thus Gs. ruber (pink) has potential as a proxy for mean annual sea-surface temperature in the Gulf of Mexico","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-002.1","usgsCitation":"Poore, R.Z., Spear, J.W., and Tedesco, K.A., 2013, Seasonal flux and assemblage composition of planktic foraminifers from a sediment-trap study in the northern Gulf of Mexico: Journal of Coastal Research, no. Special Issue 63, p. 6-19, https://doi.org/10.2112/SI63-002.1.","startPage":"6","endPage":"19","ipdsId":"IP-033544","costCenters":[],"links":[{"id":280984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280983,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-002.1"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.40 ], [ -81.04,30.40 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","issue":"Special Issue 63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd71ade4b0b29085107d50","contributors":{"authors":[{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":488209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Jessica W. jspear@usgs.gov","contributorId":3619,"corporation":false,"usgs":true,"family":"Spear","given":"Jessica","email":"jspear@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":488210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tedesco, Kathy A.","contributorId":92626,"corporation":false,"usgs":true,"family":"Tedesco","given":"Kathy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70072593,"text":"70072593 - 2013 - Ammocoetes of Pacific lamprey are not susceptible to common fish rhabdoviruses of the U.S. Pacific Northwest","interactions":[],"lastModifiedDate":"2014-01-15T12:57:25","indexId":"70072593","displayToPublicDate":"2013-01-15T12:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Ammocoetes of Pacific lamprey are not susceptible to common fish rhabdoviruses of the U.S. Pacific Northwest","docAbstract":"Pacific Lampreys Entosphenus tridentatus have experienced severe population declines in recent years and efforts to develop captive rearing programs are under consideration. However, there is limited knowledge of their life history, ecology, and potential to harbor or transmit pathogens that may cause infectious disease. As a measure of the possible risks associated with introducing wild lampreys into existing fish culture facilities, larval lampreys (ammocoetes) were tested for susceptibility to infection and mortality caused by experimental exposures to the fish rhabdovirus pathogens: infectious hematopoietic necrosis virus (IHNV) and viral haemorrhagic septicaemia virus (VHSV). Two IHNV isolates, representing the U and M genogroups, and one VHSV isolate from the IVa genotype were each delivered to groups of ammocoetes by immersion at moderate and high viral doses, and by intraperitoneal injection. Ammocoetes were then held in triplicate tanks with no substrate or sediment. During 41 d of observation postchallenge there was low or no mortality in all groups, and no virus was detected in the small number of fish that died. Ammocoetes sampled for incidence of infection at 6 and 12 d after immersion challenges also had no detectable virus, and no virus was detected in surviving fish from any group. A small number of ammocoetes sampled 6 d after the injection challenge had detectable virus, but at levels below the original quantity of virus injected. Overall there was no evidence of infection, replication, or persistence of any of the viruses in any of the treatment groups. Our results suggest that Pacific Lampreys are highly unlikely to serve as hosts that maintain or transmit these viruses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Aquatic Animal Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/08997659.2013.839967","usgsCitation":"Kurath, G., Jolley, C.J., Thompson, T.M., Thompson, D., Whitesel, A., Gutenberger, S., and Winton, J.R., 2013, Ammocoetes of Pacific lamprey are not susceptible to common fish rhabdoviruses of the U.S. Pacific Northwest: Journal of Aquatic Animal Health, v. 25, no. 4, p. 274-280, https://doi.org/10.1080/08997659.2013.839967.","productDescription":"7 p.","startPage":"274","endPage":"280","ipdsId":"IP-046021","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":281098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281093,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/08997659.2013.839967"},{"id":281094,"type":{"id":15,"text":"Index Page"},"url":"https://www.tandfonline.com/doi/full/10.1080/08997659.2013.839967"}],"volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-12-09","publicationStatus":"PW","scienceBaseUri":"53cd4c4be4b0b290850f0e22","contributors":{"authors":[{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":488511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jolley, C J.","contributorId":93818,"corporation":false,"usgs":true,"family":"Jolley","given":"C","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Tarin M. tmthompson@usgs.gov","contributorId":4341,"corporation":false,"usgs":true,"family":"Thompson","given":"Tarin","email":"tmthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":488512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, D.","contributorId":33678,"corporation":false,"usgs":true,"family":"Thompson","given":"D.","affiliations":[],"preferred":false,"id":488513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitesel, A.T.","contributorId":63718,"corporation":false,"usgs":true,"family":"Whitesel","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":488515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gutenberger, S.","contributorId":60125,"corporation":false,"usgs":true,"family":"Gutenberger","given":"S.","affiliations":[],"preferred":false,"id":488514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":488510,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70072108,"text":"70072108 - 2013 - A framework for quantitative assessment of impacts related to energy and mineral resource development","interactions":[],"lastModifiedDate":"2018-10-11T16:41:52","indexId":"70072108","displayToPublicDate":"2013-01-15T12:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"A framework for quantitative assessment of impacts related to energy and mineral resource development","docAbstract":"Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and piñon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. The framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9208-6","usgsCitation":"Haines, S.S., Diffendorfer, J., Balistrieri, L.S., Berger, B.R., Cook, T.A., Gautier, D.L., Gallegos, T.J., Gerritsen, M., Graffy, E., Hawkins, S., Johnson, K., Macknick, J., McMahon, P., Modde, T., Pierce, B., Schuenemeyer, J.H., Semmens, D., Simon, B., Taylor, J., and Walton-Day, K., 2013, A framework for quantitative assessment of impacts related to energy and mineral resource development: Natural Resources Research, v. 23, no. 1, p. 3-17, https://doi.org/10.1007/s11053-013-9208-6.","productDescription":"15 p.","startPage":"3","endPage":"17","numberOfPages":"15","ipdsId":"IP-044330","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-013-9208-6","text":"Publisher Index Page"},{"id":281091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9208-6"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"53cd49d6e4b0b290850ef690","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":488482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James","contributorId":35610,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","affiliations":[],"preferred":false,"id":488490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":488484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":488481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerritsen, Margot","contributorId":94213,"corporation":false,"usgs":true,"family":"Gerritsen","given":"Margot","email":"","affiliations":[],"preferred":false,"id":488499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graffy, Elisabeth","contributorId":12777,"corporation":false,"usgs":true,"family":"Graffy","given":"Elisabeth","affiliations":[],"preferred":false,"id":488487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hawkins, Sarah 0000-0002-1878-9121","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":33217,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","affiliations":[],"preferred":false,"id":488489,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Kathleen","contributorId":59346,"corporation":false,"usgs":true,"family":"Johnson","given":"Kathleen","affiliations":[],"preferred":false,"id":488496,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Macknick, Jordan","contributorId":45623,"corporation":false,"usgs":true,"family":"Macknick","given":"Jordan","email":"","affiliations":[],"preferred":false,"id":488492,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McMahon, Peter","contributorId":80181,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","affiliations":[],"preferred":false,"id":488498,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Modde, Tim","contributorId":48091,"corporation":false,"usgs":true,"family":"Modde","given":"Tim","email":"","affiliations":[],"preferred":false,"id":488493,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pierce, Brenda","contributorId":29940,"corporation":false,"usgs":true,"family":"Pierce","given":"Brenda","affiliations":[],"preferred":false,"id":488488,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schuenemeyer, John H.","contributorId":54227,"corporation":false,"usgs":true,"family":"Schuenemeyer","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":488495,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":488497,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Simon, Benjamin","contributorId":9174,"corporation":false,"usgs":true,"family":"Simon","given":"Benjamin","affiliations":[],"preferred":false,"id":488486,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Taylor, Jason","contributorId":40120,"corporation":false,"usgs":true,"family":"Taylor","given":"Jason","affiliations":[],"preferred":false,"id":488491,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":488480,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70042279,"text":"70042279 - 2013 - The conservation status of the world’s reptiles","interactions":[],"lastModifiedDate":"2013-01-10T16:24:08","indexId":"70042279","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The conservation status of the world’s reptiles","docAbstract":"Effective and targeted conservation action requires detailed information about species, their distribution, systematics and ecology as well as the distribution of threat processes which affect them. Knowledge of reptilian diversity remains surprisingly disparate, and innovative means of gaining rapid insight into the status of reptiles are needed in order to highlight urgent conservation cases and inform environmental policy with appropriate biodiversity information in a timely manner. We present the first ever global analysis of extinction risk in reptiles, based on a random representative sample of 1500 species (16% of all currently known species). To our knowledge, our results provide the first analysis of the global conservation status and distribution patterns of reptiles and the threats affecting them, highlighting conservation priorities and knowledge gaps which need to be addressed urgently to ensure the continued survival of the world’s reptiles. Nearly one in five reptilian species are threatened with extinction, with another one in five species classed as Data Deficient. The proportion of threatened reptile species is highest in freshwater environments, tropical regions and on oceanic islands, while data deficiency was highest in tropical areas, such as Central Africa and Southeast Asia, and among fossorial reptiles. Our results emphasise the need for research attention to be focussed on tropical areas which are experiencing the most dramatic rates of habitat loss, on fossorial reptiles for which there is a chronic lack of data, and on certain taxa such as snakes for which extinction risk may currently be underestimated due to lack of population information. Conservation actions specifically need to mitigate the effects of human-induced habitat loss and harvesting, which are the predominant threats to reptiles.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2012.07.015","usgsCitation":"Böhm, M., Reynolds, R.P., and and others, 2013, The conservation status of the world’s reptiles: Biological Conservation, v. 157, p. 372-385, https://doi.org/10.1016/j.biocon.2012.07.015.","productDescription":"14 p.","startPage":"372","endPage":"385","ipdsId":"IP-041185","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473976,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.biocon.2012.07.015","text":"External Repository"},{"id":265534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265533,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2012.07.015"}],"volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7786e4b0b2908510b97e","contributors":{"authors":[{"text":"Böhm, Monika","contributorId":11095,"corporation":false,"usgs":true,"family":"Böhm","given":"Monika","affiliations":[],"preferred":false,"id":471177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Robert P. rpreynolds@usgs.gov","contributorId":3561,"corporation":false,"usgs":true,"family":"Reynolds","given":"Robert","email":"rpreynolds@usgs.gov","middleInitial":"P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":471175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"and others","contributorId":127886,"corporation":true,"usgs":false,"organization":"and others","id":535398,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70126204,"text":"70126204 - 2013 - Methylmercury is the predominant form of mercury in bird eggs: a synthesis","interactions":[],"lastModifiedDate":"2017-07-19T15:48:25","indexId":"70126204","displayToPublicDate":"2013-01-01T18:05:24","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury is the predominant form of mercury in bird eggs: a synthesis","docAbstract":"Bird eggs are commonly used in mercury monitoring programs to assess methylmercury contamination and toxicity to birds. However, only 6% of >200 studies investigating mercury in bird eggs have actually measured methylmercury concentrations in eggs. Instead, studies typically measure total mercury in eggs (both organic and inorganic forms of mercury), with the explicit assumption that total mercury concentrations in eggs are a reliable proxy for methylmercury concentrations in eggs. This assumption is rarely tested, but has important implications for assessing risk of mercury to birds. We conducted a detailed assessment of this assumption by (1) collecting original data to examine the relationship between total and methylmercury in eggs of two species, and (2) reviewing the published literature on mercury concentrations in bird eggs to examine whether the percentage of total mercury in the methylmercury form differed among species. Within American avocets (<i>Recurvirostra americana</i>) and Forster’s terns (<i>Sterna forsteri</i>), methylmercury concentrations were highly correlated (R<sup>2</sup> = 0.99) with total mercury concentrations in individual eggs (range: 0.03–7.33 μg/g fww), and the regression slope (log scale) was not different from one (m = 0.992). The mean percentage of total mercury in the methylmercury form in eggs was 97% for American avocets (n = 30 eggs), 96% for Forster’s terns (n = 30 eggs), and 96% among all 22 species of birds (n = 30 estimates of species means). The percentage of total mercury in the methylmercury form ranged from 63% to 116% among individual eggs and 82% to 111% among species means, but this variation was not related to total mercury concentrations in eggs, foraging guild, nor to a species life history strategy as characterized along the precocial to altricial spectrum. Our results support the use of total mercury concentrations to estimate methylmercury concentrations in bird eggs.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es304385y","usgsCitation":"Ackerman, J., Herzog, M., and Schwarzbach, S.E., 2013, Methylmercury is the predominant form of mercury in bird eggs: a synthesis: Environmental Science & Technology, v. 47, no. 4, p. 2052-2060, https://doi.org/10.1021/es304385y.","productDescription":"9 p.","startPage":"2052","endPage":"2060","numberOfPages":"9","ipdsId":"IP-043304","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es304385y"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"541d459fe4b0f68901ec30ca","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501919,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70123837,"text":"70123837 - 2013 - Are captive tortoises a reservoir for conservation? An assessment of genealogical affiliation of captive <i>Gopherus agassizii</i> to local, wild populations","interactions":[],"lastModifiedDate":"2014-09-09T14:26:40","indexId":"70123837","displayToPublicDate":"2013-01-01T14:24:28","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Are captive tortoises a reservoir for conservation? An assessment of genealogical affiliation of captive <i>Gopherus agassizii</i> to local, wild populations","docAbstract":"The conservation of tortoises poses a unique situation because several threatened species are commonly kept as pets within their native ranges. Thus, there is potential for captive populations to be a reservoir for repatriation efforts. We assess the utility of captive populations of the threatened Agassiz’s desert tortoise (<i>Gopherus agassizii</i>) for recovery efforts based on genetic affinity to local areas. We collected samples from 130 captive desert tortoises from three desert communities: two in California (Ridgecrest and Joshua Tree) and the Desert Tortoise Conservation Center (Las Vegas) in Nevada. We tested all samples for 25 short tandem repeats and sequenced 1,109 bp of the mitochondrial genome. We compared captive genotypes to a database of 1,258 Gopherus samples, including 657 wild caught <i>G. agassizii</i> spanning the full range of the species. We conducted population assignment tests to determine the genetic origins of the captive individuals. For our total sample set, only 44 % of captive individuals were assigned to local populations based on genetic units derived from the reference database. One individual from Joshua Tree, California, was identified as being a Morafka’s desert tortoise, <i>G. morafkai</i>, a cryptic species which is not native to the Mojave Desert. Our data suggest that captive desert tortoises kept within the native range of <i>G. agassizii</i> cannot be presumed to have a genealogical affiliation to wild tortoises in their geographic proximity. Precautions should be taken before considering the release of captive tortoises into the wild as a management tool for recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10592-013-0458-y","usgsCitation":"Berry, K.H., and Edwards, T., 2013, Are captive tortoises a reservoir for conservation? An assessment of genealogical affiliation of captive <i>Gopherus agassizii</i> to local, wild populations: Conservation Genetics, v. 14, no. 3, p. 649-659, https://doi.org/10.1007/s10592-013-0458-y.","productDescription":"11 p.","startPage":"649","endPage":"659","numberOfPages":"11","ipdsId":"IP-041651","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293541,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-013-0458-y"}],"volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-12","publicationStatus":"PW","scienceBaseUri":"54101444e4b07ab1cd980860","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Taylor","contributorId":62337,"corporation":false,"usgs":true,"family":"Edwards","given":"Taylor","affiliations":[],"preferred":false,"id":500370,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046972,"text":"70046972 - 2013 - Riparian litter inputs to streams in the central Oregon Coast Range","interactions":[],"lastModifiedDate":"2013-07-15T14:29:09","indexId":"70046972","displayToPublicDate":"2013-01-01T14:18:51","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3582,"text":"The Society for Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Riparian litter inputs to streams in the central Oregon Coast Range","docAbstract":"Riparian-zone vegetation can influence terrestrial and aquatic food webs through variation in the amount, timing, and nutritional content of leaf and other litter inputs. We investigated how riparian-forest community composition, understory density, and lateral slope shaped vertical and lateral litter inputs to 16 streams in the Oregon Coast Range. Riparian forests dominated by deciduous red alder delivered greater annual vertical litter inputs to streams (504 g m<sup>−2</sup> y<sup>−1</sup>) than did riparian forests dominated by coniferous Douglas-fir (394 g m<sup>−2</sup> y<sup>−1</sup>). Deciduous forests also contributed greater lateral litter inputs per meter of stream bank on one side (109 g m<sup>−1</sup> y<sup>−1</sup>) than did coniferous forests (63 g m<sup>−1</sup> y<sup>−1</sup>). Total litter inputs from deciduous forests exceeded those from coniferous forests most strongly in November, coincident with an autumn peak in litter inputs. Lateral litter inputs contributed most to total inputs during winter in both forest types. Annual lateral litter movement increased with slope at deciduous sites, but only in spring/summer months at coniferous sites. Neither experimental removal of understory vegetation nor installation of mesh fences to block downslope litter movement affected lateral litter inputs to streams, suggesting that ground litter moves <5 m downslope annually. N concentrations of several litter fractions were higher at deciduous sites and, when combined with greater litter amounts, yielded twice as much total litter N flux to streams in deciduous than coniferous sites. The presence of red alder in riparian forests along many small streams of the deeply incised and highly dendritic basins of the Oregon Coast Range enhances total fluxes and seasonality of litter delivery to both terrestrial and aquatic food webs in this region and complements the shade and large woody debris provided by large coniferous trees.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Society for Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioOne","doi":"10.1899/12-074.1","usgsCitation":"Hart, S.K., Hibbs, D.E., and Perakis, S., 2013, Riparian litter inputs to streams in the central Oregon Coast Range: The Society for Freshwater Science, v. 32, no. 1, p. 343-358, https://doi.org/10.1899/12-074.1.","productDescription":"16 p.","startPage":"343","endPage":"358","ipdsId":"IP-041512","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274862,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.1899/12-074.1"},{"id":274995,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/12-074.1"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.6129,41.9918 ], [ -124.6129,46.292 ], [ -116.4633,46.292 ], [ -116.4633,41.9918 ], [ -124.6129,41.9918 ] ] ] } } ] }","volume":"32","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519efe4b069f8d27ccb33","contributors":{"authors":[{"text":"Hart, Stephanie K.","contributorId":58170,"corporation":false,"usgs":true,"family":"Hart","given":"Stephanie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":480747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hibbs, David E.","contributorId":76587,"corporation":false,"usgs":true,"family":"Hibbs","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":480748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":16797,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven S.","affiliations":[],"preferred":false,"id":480746,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048682,"text":"70048682 - 2013 - Pheromonal bile acid 3-ketopetromyzonol sulfate primes the neuroendocrine system in sea lamprey","interactions":[],"lastModifiedDate":"2013-10-29T14:12:27","indexId":"70048682","displayToPublicDate":"2013-01-01T14:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":957,"text":"BMC Neuroscience","active":true,"publicationSubtype":{"id":10}},"title":"Pheromonal bile acid 3-ketopetromyzonol sulfate primes the neuroendocrine system in sea lamprey","docAbstract":"Background\nVertebrate pheromones are known to prime the endocrine system, especially the hypothalamic-pituitary-gonadal (HPG) axis. However, no known pheromone molecule has been shown to modulate directly the synthesis or release of gonadotropin releasing hormone (GnRH), the main regulator of the HPG axis. We selected sea lamprey (Petromyzon marinus) as a model system to determine whether a single pheromone component alters the output of GnRH.\n\nSea lamprey male sex pheromones contain a main component, 7α, 12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3 keto-petromyzonol sulfate or 3kPZS), which has been shown to modulate behaviors of mature females. Through a series of experiments, we tested the hypothesis that 3kPZS modulates both synthesis and release of GnRH, and subsequently, HPG output in immature sea lamprey.\n\nResults\nThe results showed that natural male pheromone mixtures induced differential steroid responses but facilitated sexual maturation in both sexes of immature animals (χ2 = 5.042, dF = 1, p < 0.05). Exposure to 3kPZS increased plasma 15α-hydroxyprogesterone (15α-P) concentrations (one-way ANOVA, p < 0.05) and brain gene expressions (genes examined: three lamprey (l) GnRH-I transcripts, lGnRH-III, Jun and Jun N-terminal kinase (JNK); one-way ANOVA, p < 0.05), but did not alter the number of GnRH neurons in the hypothalamus in immature animals. In addition, 3kPZS treatments increased lGnRH peptide concentrations in the forebrain and modulated their levels in plasma. Overall, 3kPZS modulation of HPG axis is more pronounced in immature males than in females.\n\nConclusions\nWe conclude that a single male pheromone component primes the HPG axis in immature sea lamprey in a sexually dimorphic manner.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BMC Neuroscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioMed Central","doi":"10.1186/1471-2202-14-11","usgsCitation":"Yu-Wen Chung-Davidson, Wang, H., Siefkes, M.J., Bryan, M.B., Wu, H., Johnson, N.S., and Li, W., 2013, Pheromonal bile acid 3-ketopetromyzonol sulfate primes the neuroendocrine system in sea lamprey: BMC Neuroscience, v. 14, no. 11, 13 p., https://doi.org/10.1186/1471-2202-14-11.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-043338","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1471-2202-14-11","text":"Publisher Index Page"},{"id":278555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278553,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1471-2202-14-11"}],"volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-01-20","publicationStatus":"PW","scienceBaseUri":"5270d908e4b0f7a10664fbda","contributors":{"authors":[{"text":"Yu-Wen Chung-Davidson","contributorId":128182,"corporation":true,"usgs":false,"organization":"Yu-Wen Chung-Davidson","id":535594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Huiyong","contributorId":79007,"corporation":false,"usgs":true,"family":"Wang","given":"Huiyong","affiliations":[],"preferred":false,"id":485418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryan, Mara B.","contributorId":19863,"corporation":false,"usgs":true,"family":"Bryan","given":"Mara","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Hong","contributorId":21443,"corporation":false,"usgs":true,"family":"Wu","given":"Hong","affiliations":[],"preferred":false,"id":485415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485413,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":485417,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70111240,"text":"70111240 - 2013 - Of travertine and time: otolith chemistry and microstructure detect provenance and demography of endangered humpback chub in Grand Canyon, USA","interactions":[],"lastModifiedDate":"2014-06-03T13:55:04","indexId":"70111240","displayToPublicDate":"2013-01-01T13:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Of travertine and time: otolith chemistry and microstructure detect provenance and demography of endangered humpback chub in Grand Canyon, USA","docAbstract":"We developed a geochemical atlas of the Colorado River in Grand Canyon and in its tributary, the Little Colorado River, and used it to identify provenance and habitat use by Federally Endangered humpback chub, Gila cypha.  Carbon stable isotope ratios (δ<sup>13</sup>C) discriminate best between the two rivers, but fine scale analysis in otoliths requires rare, expensive instrumentation. We therefore correlated other tracers (SrSr, Ba, and Se in ratio to Ca) to δ<sup>13</sup>C that are easier to quantify in otoliths with other microchemical techniques. Although the Little Colorado River’s water chemistry varies with major storm events, at base flow or near base flow (conditions occurring 84% of the time in our study) its chemistry differs sufficiently from the mainstem to discriminate one from the other. Additionally, when fish egress from the natal Little Colorado River to the mainstem, they encounter cold water which causes the otolith daily growth increments to decrease in size markedly. Combining otolith growth increment analysis and microchemistry permitted estimation of size and age at first egress; size at first birthday was also estimated. Emigrants < 1 year old averaged 51.2 ± 4.4 (SE) days and 35.5 ± 3.6 mm at egress; older fish that had recruited to the population averaged 100 ± 7.8 days old and 51.0 ± 2.2 mm at egress, suggesting that larger, older emigrants recruit better. Back-calculated size at age 1 was unimodal and large (78.2 ± 3.3 mm) in Little Colorado caught fish but was bimodally distributed in Colorado mainstem caught fish (49.9 ± 3.6 and 79 ± 4.9 mm) suggesting that humpback chub can also rear in the mainstem. The study demonstrates the coupled usage of the two rivers by this fish and highlights the need to consider both rivers when making management decisions for humpback chub recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0084235","usgsCitation":"Limburg, K.E., Hayden, T.A., Pine, W., Yard, M., Kozdon, R., and Valley, J.W., 2013, Of travertine and time: otolith chemistry and microstructure detect provenance and demography of endangered humpback chub in Grand Canyon, USA: PLoS ONE, v. 8, no. 12, 18 p., https://doi.org/10.1371/journal.pone.0084235.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-046330","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084235","text":"Publisher Index Page"},{"id":288033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288032,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084235"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon;Colorado River;Little Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.833333,36.1 ], [ -111.833333,36.2 ], [ -111.7,36.2 ], [ -111.7,36.1 ], [ -111.833333,36.1 ] ] ] } } ] }","volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"538eee94e4b0d497d4968517","contributors":{"authors":[{"text":"Limburg, Karin E.","contributorId":16325,"corporation":false,"usgs":true,"family":"Limburg","given":"Karin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":494306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayden, Todd A. 0000-0002-0451-0425 thayden@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":5987,"corporation":false,"usgs":true,"family":"Hayden","given":"Todd","email":"thayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pine, William E. III","contributorId":56759,"corporation":false,"usgs":true,"family":"Pine","given":"William E.","suffix":"III","affiliations":[],"preferred":false,"id":494308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":494304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kozdon, Reinhard","contributorId":14740,"corporation":false,"usgs":true,"family":"Kozdon","given":"Reinhard","affiliations":[],"preferred":false,"id":494305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valley, John W.","contributorId":52895,"corporation":false,"usgs":false,"family":"Valley","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":494307,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70099268,"text":"70099268 - 2013 - Modeling trends from North American Breeding Bird Survey data: a spatially explicit approach","interactions":[],"lastModifiedDate":"2014-03-24T13:49:18","indexId":"70099268","displayToPublicDate":"2013-01-01T13:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling trends from North American Breeding Bird Survey data: a spatially explicit approach","docAbstract":"Population trends, defined as interval-specific proportional changes in population size, are often used to help identify species of conservation interest. Efficient modeling of such trends depends on the consideration of the correlation of population changes with key spatial and environmental covariates. This can provide insights into causal mechanisms and allow spatially explicit summaries at scales that are of interest to management agencies. We expand the hierarchical modeling framework used in the North American Breeding Bird Survey (BBS) by developing a spatially explicit model of temporal trend using a conditional autoregressive (CAR) model. By adopting a formal spatial model for abundance, we produce spatially explicit abundance and trend estimates. Analyses based on large-scale geographic strata such as Bird Conservation Regions (BCR) can suffer from basic imbalances in spatial sampling. Our approach addresses this issue by providing an explicit weighting based on the fundamental sample allocation unit of the BBS. We applied the spatial model to three species from the BBS. Species have been chosen based upon their well-known population change patterns, which allows us to evaluate the quality of our model and the biological meaning of our estimates. We also compare our results with the ones obtained for BCRs using a nonspatial hierarchical model (Sauer and Link 2011). Globally, estimates for mean trends are consistent between the two approaches but spatial estimates provide much more precise trend estimates in regions on the edges of species ranges that were poorly estimated in non-spatial analyses. Incorporating a spatial component in the analysis not only allows us to obtain relevant and biologically meaningful estimates for population trends, but also enables us to provide a flexible framework in order to obtain trend estimates for any area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0081867","usgsCitation":"Bled, F., Sauer, J., Pardieck, K.L., Doherty, P., and Royle, J.A., 2013, Modeling trends from North American Breeding Bird Survey data: a spatially explicit approach: PLoS ONE, v. 8, no. 12, 14 p., https://doi.org/10.1371/journal.pone.0081867.","productDescription":"14 p.","ipdsId":"IP-052066","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473991,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0081867","text":"Publisher Index Page"},{"id":284404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284402,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0081867"},{"id":284403,"type":{"id":15,"text":"Index Page"},"url":"https://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0081867;jsessionid=FCB75EDDD2621890E310AC85F997B517"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-13","publicationStatus":"PW","scienceBaseUri":"535594b6e4b0120853e8c08b","contributors":{"authors":[{"text":"Bled, Florent","contributorId":93613,"corporation":false,"usgs":true,"family":"Bled","given":"Florent","affiliations":[],"preferred":false,"id":491909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":491905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Paul","contributorId":64155,"corporation":false,"usgs":true,"family":"Doherty","given":"Paul","affiliations":[],"preferred":false,"id":491908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andy","contributorId":55741,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"","middleInitial":"Andy","affiliations":[],"preferred":false,"id":491907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043518,"text":"70043518 - 2013 - The stability of sulfate and hydrated sulfate minerals near ambient conditions and their significance in environmental and planetary sciences","interactions":[],"lastModifiedDate":"2021-03-25T18:43:31.359052","indexId":"70043518","displayToPublicDate":"2013-01-01T13:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2184,"text":"Journal of Asian Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The stability of sulfate and hydrated sulfate minerals near ambient conditions and their significance in environmental and planetary sciences","docAbstract":"Sulfate and hydrated sulfate minerals are abundant and ubiquitous on the surface of the Earth and also on other planets and their satellites. The humidity-buffer technique has been applied to study the stability of some of these minerals at 0.1 MPa in terms of temperature-relative humidity space on the basis of hydration-dehydration reversal experiments. Updated phase relations in the binary system MgSO<sub>4</sub>-H<sub>2</sub>O are presented, as an example, to show how reliable thermodynamic data for these minerals could be obtained based on these experimental results and thermodynamic principles. This approach has been applied to sulfate and hydrated sulfate minerals of other metals, including Fe (both ferrous and ferric), Zn, Ni, Co, Cd, and Cu.\n\nMetal-sulfate salts play important roles in the cycling of metals and sulfate in terrestrial systems, and the number of phases extends well beyond the simple sulfate salts that have thus far been investigated experimentally. The oxidation of sulfide minerals, particularly pyrite, is a common process that initiates the formation of efflorescent metal-sulfate minerals. Also, the overall abundance of iron-bearing sulfate salts in nature reflects the fact that the weathering of pyrite or pyrrhotite is the ultimate source for many of these phases. Many aspects of their environmental significance are reviewed, particularly in acute effects to aquatic ecosystems related to the dissolution of sulfate salts during rain storms or snow-melt events.\n\nHydrous Mg, Ca, and Fe sulfates were identified on Mars, with wide distribution and very large quantities at many locations, on the basis of spectroscopic observations from orbital remote sensing and surface explorations by rovers. However, many of these findings do not reveal the detailed information on the degree of hydration that is essential for rigorous interpretation of the hydrologic history of Mars. Laboratory experiments on stability fields, reactions pathways, and reaction rates of hydrous sulfates likely to be found on Mars enhance our understanding of the degrees of hydration of various sulfates that should currently exist on Mars at various seasons and locations and during various atmospheric pressure and obliquity periods. Two sets of systematic experiments were described; one on hydrous Mg sulfates and the other on hydrous Fe<sup>3+</sup> sulfates. Also, their implications to Mars sulfates mineralogy were discussed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jseaes.2012.11.027","usgsCitation":"Chou, I., Seal, R., and Wang, A., 2013, The stability of sulfate and hydrated sulfate minerals near ambient conditions and their significance in environmental and planetary sciences: Journal of Asian Earth Sciences, v. 62, p. 734-758, https://doi.org/10.1016/j.jseaes.2012.11.027.","productDescription":"25 p.","startPage":"734","endPage":"758","numberOfPages":"25","ipdsId":"IP-035597","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":275633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa31e8e4b076c3a8d8268f","contributors":{"authors":[{"text":"Chou, I-Ming 0000-0001-5233-6479 imchou@usgs.gov","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":882,"corporation":false,"usgs":true,"family":"Chou","given":"I-Ming","email":"imchou@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":473758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":473757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Alian","contributorId":97616,"corporation":false,"usgs":true,"family":"Wang","given":"Alian","email":"","affiliations":[],"preferred":false,"id":473759,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125388,"text":"70125388 - 2013 - Mapping behavioral landscapes for animal movement: a finite mixture modeling approach","interactions":[],"lastModifiedDate":"2014-09-18T13:30:41","indexId":"70125388","displayToPublicDate":"2013-01-01T13:29:47","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Mapping behavioral landscapes for animal movement: a finite mixture modeling approach","docAbstract":"Because of its role in many ecological processes, movement of animals in response to landscape features is an important subject in ecology and conservation biology. In this paper, we develop models of animal movement in relation to objects or fields in a landscape. We take a finite mixture modeling approach in which the component densities are conceptually related to different choices for movement in response to a landscape feature, and the mixing proportions are related to the probability of selecting each response as a function of one or more covariates. We combine particle swarm optimization and an Expectation-Maximization (EM) algorithm to obtain maximum likelihood estimates of the model parameters. We use this approach to analyze data for movement of three bobcats in relation to urban areas in southern California, USA. A behavioral interpretation of the models revealed similarities and differences in bobcat movement response to urbanization. All three bobcats avoided urbanization by moving either parallel to urban boundaries or toward less urban areas as the proportion of urban land cover in the surrounding area increased. However, one bobcat, a male with a dispersal-like large-scale movement pattern, avoided urbanization at lower densities and responded strictly by moving parallel to the urban edge. The other two bobcats, which were both residents and occupied similar geographic areas, avoided urban areas using a combination of movements parallel to the urban edge and movement toward areas of less urbanization. However, the resident female appeared to exhibit greater repulsion at lower levels of urbanization than the resident male, consistent with empirical observations of bobcats in southern California. Using the parameterized finite mixture models, we mapped behavioral states to geographic space, creating a representation of a behavioral landscape. This approach can provide guidance for conservation planning based on analysis of animal movement data using statistical models, thereby linking connectivity evaluations to empirical data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/12-0687.1","usgsCitation":"Tracey, J.A., Zhu, J., Boydston, E.E., Lyren, L.M., Fisher, R.N., and Crooks, K.R., 2013, Mapping behavioral landscapes for animal movement: a finite mixture modeling approach: Ecological Applications, v. 23, no. 3, p. 654-669, https://doi.org/10.1890/12-0687.1.","productDescription":"16 p.","startPage":"654","endPage":"669","numberOfPages":"16","ipdsId":"IP-041722","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-0687.1","text":"Publisher Index Page"},{"id":294174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293974,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0687.1"}],"volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf43de4b0e96537ddf76f","contributors":{"authors":[{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":501362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":501361,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70123872,"text":"70123872 - 2013 - Science-based management of public lands in southern Nevada","interactions":[],"lastModifiedDate":"2022-12-30T14:38:34.611898","indexId":"70123872","displayToPublicDate":"2013-01-01T13:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-303","chapter":"11","title":"Science-based management of public lands in southern Nevada","docAbstract":"<p>Landmark legislation provides guiding principles for land management planning in southern Nevada and the rest of the United States. Such legislation includes, but is not limited to, the Forest Service Organic Administration Act of 1897 (16 U.S>C. 473-478, 479-482 and 551), National Park Service Organic Act of 1916 (U.S.C. Title 16, Secs. 1-4). Wilderness Act 1964 (P.L.88-577), National Environmental Policy Act of 1969 (P.L. 91-190), Endangered Species Act of 1973 (P.L. 91-205), National Forest Management Act of of 1976 (P.L. 94-588), and Federal Land Policy and Management Act of 1976 (P.L. 94-579). The acts establishing congressionally designated areas within southern Nevada, such as Lake Mead National Recreation Area, Spring Mountains National Restoration Area, and Desert National Wildlife Refuge, also contain guidelines for the management of these lands. These documents variously require preservation of natural and cultural resource and wilderness character, protection of species, and prevention of undesirable environmental effects from land management actions. These requirements must be met while allowing for multiple \"uses\" of certain public lands (e.g. recreation, ranching, resources extraction, renewable energy development, etc.) to the degree that they do no threaten preservation, protection, and prevention goals,. many considerations some into play in the development and implementation for land management plans and actions. The planning process requires a balancing act that sometimes pit one need or priority against another. When priorities can trump other needs can prioritized and receive disproportionate consideration. Overall, the management of public lands is a very complicated and sometime contentious process.</p>\n<br>\n<p>Science provides an objective way to help weigh quantifiable information and draw conclusions about the effects of past and potential future land management policies, decisions, and actions. When effectively integrated into adaptive management, science-based information can reduce uncertainties, increase knowledge, and improve decision making. However, the specific science information needed for effective management is often lacking or difficult to access or interpret. Science is typically reported in scientific journals as discrete units describing individual studies with other scientists as the primary audience. Translations of these studies an synthesis or multiple studies into formats that can be readily used in land management planning efforts are often lacking. Identifying and articulating the highest priority science and research needs is one of the primary purposes of the Southern Nevada Agency Partnership (SNAP; http://www.SNAP.gov) Science and Research Team (chapter 1; Turner and others 2009). The SNAP Science and Research Strategy (Strategy) calls for a synthesis report to be written every 5 years summarizing the state of knowledge, information gaps and management implications of scientific information as it relates to the SNAP Strategy goals (Turner and others 2009). This General Technical Report serves as the first SNAP Science and Research Synthesis Report (Synthesis Report) commissioned by the Science and Research Team. The Synthesis Report is mostly based on information form the peer-reviewed scientific literature, and is itself peer reviewed and constitutes a new contribution to the scientific literature. This final chapter addresses Sub-goal 2.3, which is to manage current and future authorized southern Nevada land uses in a manner that balances public need and ecosystem sustainability, and Sub-goal 2.5, which is to promote an effective conservation education and interpretation program to improve the quality of resources and enhance public use and enjoyment of southern Nevada public lands. It summarizes information form the previous chapters on what scientific information is known currently and what remains largely unknown, and it discusses how science can be used to make future management decisions that balances public needs and ecosystem sustainability.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Southern Nevada Agency Partnership science and research synthesis: Science to support land management in southern Nevada (General Technical Report RMRS-GTR-303)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Brooks, M.L., and Chambers, J., 2013, Science-based management of public lands in southern Nevada: General Technical Report RMRS-GTR-303, 7 p.","productDescription":"7 p.","startPage":"201","endPage":"207","numberOfPages":"7","ipdsId":"IP-042744","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":411219,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/research/treesearch/44309","linkFileType":{"id":5,"text":"html"}},{"id":294541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.62994356826636,\n              35.02392827573823\n            ],\n            [\n              -114.71108092890972,\n              36.05434128183754\n            ],\n            [\n              -114.1610398819929,\n              35.96903144947467\n            ],\n            [\n              -113.99956682074821,\n              39.38359318014548\n            ],\n            [\n              -120.06431672841825,\n              39.64524306073176\n            ],\n            [\n              -120.09127846963423,\n              38.90168971729281\n            ],\n            [\n              -114.62994356826636,\n              35.02392827573823\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ecde4b0e641df8a714f","contributors":{"authors":[{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":500440,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047347,"text":"70047347 - 2013 - Wind erosion from a sagebrush steppe burned by wildfire: measurements of PM<sub>10</sub> and total horizontal sediment flux","interactions":[],"lastModifiedDate":"2013-08-02T10:23:14","indexId":"70047347","displayToPublicDate":"2013-01-01T13:16:00","publicationYear":"2013","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":"Wind erosion from a sagebrush steppe burned by wildfire: measurements of PM<sub>10</sub> and total horizontal sediment flux","docAbstract":"Wind erosion and aeolian transport processes are under studied compared to rainfall-induced erosion\nand sediment transport on burned landscapes. Post-fire wind erosion studies have predominantly\nfocused on near-surface sediment transport and associated impacts such as on-site soil loss and site fertility. Downwind impacts, including air quality degradation and deposition of dust or contaminants, are also likely post-fire effects; however, quantitative field measurements of post-fire dust emissions are needed for assessment of these downwind risks. A wind erosion monitoring system was installed immediately following a desert sagebrush and grass wildfire in southeastern Idaho, USA to measure wind erosion from the burned landscape. This paper presents measurements of horizontal sediment flux and PM<sub>10</sub> vertical flux from the burned area. We determined threshold wind speeds and corresponding threshold friction velocities to be 6.0 and 20 m s<sup>-1</sup>, respectively, for the 4 months immediately following the fire\nand 10 and 0.55 m s<sup>-1</sup> for the following spring months. Several major wind erosion events were measured in the months following the July 2010 Jefferson Fire. The largest wind erosion event occurred in early September 2010 and produced 1495 kg m<sup>-1</sup> of horizontal sediment transport within the first 2 m\nabove the soil surface, had a maximum PM<sub>10</sub> vertical flux of 100 mg m<sup>-2</sup> s<sup>-1</sup>, and generated a large dust plume that was visible in satellite imagery. The peak PM<sub>10</sub> concentration measured on-site at a height of 2 m in the downwind portion of the burned area was 690 mg m<sup>-3</sup>. Our results indicate that wildfire can convert a relatively stable landscape into one that is a major dust source.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aeolian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2012.10.003","usgsCitation":"Wagenbrenner, N.S., Germino, M., Lamb, B.K., Robichaud, P., and Foltz, R.B., 2013, Wind erosion from a sagebrush steppe burned by wildfire: measurements of PM<sub>10</sub> and total horizontal sediment flux: Aeolian Research, v. 10, p. 25-36, https://doi.org/10.1016/j.aeolia.2012.10.003.","productDescription":"12 p.","startPage":"25","endPage":"36","numberOfPages":"12","ipdsId":"IP-041371","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":275751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275750,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aeolia.2012.10.003"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.602151,43.414487 ], [ -112.602151,43.656388 ], [ -112.071571,43.656388 ], [ -112.071571,43.414487 ], [ -112.602151,43.414487 ] ] ] } } ] }","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fb7555e4b04b00e3d7856f","contributors":{"authors":[{"text":"Wagenbrenner, Natalie S.","contributorId":70685,"corporation":false,"usgs":true,"family":"Wagenbrenner","given":"Natalie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":481775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamb, Brian K.","contributorId":30539,"corporation":false,"usgs":true,"family":"Lamb","given":"Brian","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":481773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robichaud, Peter R.","contributorId":102782,"corporation":false,"usgs":true,"family":"Robichaud","given":"Peter R.","affiliations":[],"preferred":false,"id":481777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foltz, Randy B.","contributorId":35636,"corporation":false,"usgs":true,"family":"Foltz","given":"Randy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":481774,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046447,"text":"70046447 - 2013 - Geologic model for the assessment of undiscovered hydrocarbons in Lower to Upper Cretaceous carbonate rocks of the Fredericksburg and Washita groups, U.S. Gulf Coast Region","interactions":[],"lastModifiedDate":"2021-03-31T17:03:24.05217","indexId":"70046447","displayToPublicDate":"2013-01-01T13:01:05","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geologic model for the assessment of undiscovered hydrocarbons in Lower to Upper Cretaceous carbonate rocks of the Fredericksburg and Washita groups, U.S. Gulf Coast Region","docAbstract":"<p>As part of the assessment of undiscovered oil and gas resources in Jurassic and Cretaceous strata of the U.S. Gulf Coast in 2010, the U.S. Geological Survey assessed carbonate rocks of the Fredericksburg and Washita groups and their equivalent units underlying onshore lands and State waters. One conventional assessment unit extending from south Texas to the Florida panhandle was defined: the Fredericksburg-Buda Carbonate Platform-Reef Gas and Oil assessment unit. Assessed strata range in age from Early Cretaceous Albian to Late Cretaceous Cenomanian. The assessment was based on a geologic model that incorporated the Upper Jurassic–Cretaceous–Tertiary Composite Total Petroleum System of the Gulf of Mexico Basin. The following factors were evaluated to define the assessment unit and estimate undiscovered oil and gas resources: potential source rocks, hydrocarbon migration, reservoir porosity and permeability, traps and seals, structural features, depositional framework, and potential for water washing of hydrocarbons near outcrop areas. Analysis of the production history of discovered reservoirs and well data within the assessment unit was also essential for estimating the numbers and sizes of undiscovered oil and gas reservoirs within the assessment unit. The downdip boundary of the assessment unit was drawn as an arbitrary line 10 miles downdip of the Lower Cretaceous shelf margin, to include potential reef-talus reservoirs, a facies described in the geologic model developed for the assessment. Updip boundaries of the assessment unit were drawn based on the updip extent of assessment unit carbonate reservoir rocks, basin margin fault zones, and (or) the presence of producing wells within the assessed interval. Using the U.S. Geological Survey methodology, mean undiscovered resources of 40 million barrels of oil, 622 billion cubic feet of gas, and 14 million barrels of natural gas liquids were estimated for the assessment unit.</p>","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Swanson, S.M., Enomoto, C.B., Dennen, K., Valentine, B.J., and Lohr, C., 2013, Geologic model for the assessment of undiscovered hydrocarbons in Lower to Upper Cretaceous carbonate rocks of the Fredericksburg and Washita groups, U.S. Gulf Coast Region: Gulf Coast Association of Geological Societies Transactions, v. 63, p. 423-437.","productDescription":"15 p.","startPage":"423","endPage":"437","numberOfPages":"15","ipdsId":"IP-045922","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":384781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384780,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/063/063001/423_gcags630423.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"U.S. Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.9638671875,\n              25.46311452925943\n            ],\n            [\n              -81.54052734375,\n              25.46311452925943\n            ],\n            [\n              -81.54052734375,\n              36.914764288955936\n            ],\n            [\n              -102.9638671875,\n              36.914764288955936\n            ],\n            [\n              -102.9638671875,\n              25.46311452925943\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dennen, Kristin O.","contributorId":209828,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin O.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":813276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813277,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148695,"text":"70148695 - 2013 - Combining glyphosate with burning or mowing improves control of Yellow Bluestem (<i>Bothriochloa ischaemum</i>)","interactions":[],"lastModifiedDate":"2015-07-13T12:01:28","indexId":"70148695","displayToPublicDate":"2013-01-01T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Combining glyphosate with burning or mowing improves control of Yellow Bluestem (<i>Bothriochloa ischaemum</i>)","docAbstract":"<p>The invasive yellow bluestem (<i>Bothriochloa ischaemum</i> [L.] Keng) threatens native biodiversity, and its control is of interest to land managers involved in restoration of invaded grasslands. We used single, double, and triple applications of glyphosate (2.125 kg ai.ha<sup>-1</sup>.application<sup>-1</sup>) over the course of one growing season in combinations at different timings (early, middle, late season) with and without a mechanical treatment of mowing or burning to determine the most effective control method. One year after treatment, burning and mowing prior to a mid-season single or double early, middle, and/or late season herbicide application resulted in a similar level of control of yellow bluestem relative to a triple herbicide application, all of which had greater control relative to herbicide treatment alone. Reproductive tiller density and visual obstruction increased 2 yr after treatment with two herbicide treatments applied either early and middle season or early and late season, but it was prevented with burning and mowing prior to herbicide application. With the exception of three herbicide applications, combining burning or mowing with herbicide applications provided more effective control of yellow bluestem than any individual herbicide applications. Burning or mowing likely improves glyphosate effectiveness by altering the invasive grass structure so that plants are clear of standing dead and have shorter, active regrowth to enhance herbicide effectiveness. During restoration projects requiring control of invasive yellow bluestem, an effective management option is a combination of mechanical and chemical control.</p>","language":"English","publisher":"Society for Range Management","publisherLocation":"Lakewood, CO","doi":"10.2111/REM-D-11-00198.1","collaboration":"Oklahoma Department of Wildlife Conservation and Oklahoma State University; National Research Initiative of the USDA Cooperative State Research, Education and Extension Service","usgsCitation":"Robertson, S., Hickman, K.R., Harmoney, K.R., and Leslie, D.M., 2013, Combining glyphosate with burning or mowing improves control of Yellow Bluestem (<i>Bothriochloa ischaemum</i>): Rangeland Ecology and Management, v. 66, no. 3, p. 376-381, https://doi.org/10.2111/REM-D-11-00198.1.","productDescription":"6 p.","startPage":"376","endPage":"381","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017179","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473996,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/642723","text":"External Repository"},{"id":305686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a4e133e4b0183d66e45382","contributors":{"authors":[{"text":"Robertson, S.","contributorId":34484,"corporation":false,"usgs":true,"family":"Robertson","given":"S.","email":"","affiliations":[],"preferred":false,"id":564721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickman, Karen R.","contributorId":25461,"corporation":false,"usgs":true,"family":"Hickman","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmoney, Keith R.","contributorId":145590,"corporation":false,"usgs":false,"family":"Harmoney","given":"Keith","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leslie, David M. Jr. 0000-0002-3884-1484 cleslie@usgs.gov","orcid":"https://orcid.org/0000-0002-3884-1484","contributorId":2483,"corporation":false,"usgs":true,"family":"Leslie","given":"David","suffix":"Jr.","email":"cleslie@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":549062,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148666,"text":"70148666 - 2013 - Assessing effects of stocked trout on nongame fish assemblages in southern Appalachian Mountain streams","interactions":[],"lastModifiedDate":"2015-06-19T09:44:50","indexId":"70148666","displayToPublicDate":"2013-01-01T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Assessing effects of stocked trout on nongame fish assemblages in southern Appalachian Mountain streams","docAbstract":"<p>Fisheries managers are faced with the challenge of balancing the management of recreational fisheries with that of conserving native species and preserving ecological integrity. The negative effects that nonnative trout species exert on native trout are well documented and include alteration of competitive interactions, habitat use, and production. However, the effects that nonnative trout may exert on nongame fish assemblages are poorly understood. Our objectives were to quantify the effects of trout stocking on native nongame fish assemblages intensively on one newly stocked river, the North Toe River, North Carolina, and extensively on other southern Appalachian Mountain streams that are annually stocked with trout. In the intensive study, we adopted a before-after, control-impact (BACI) experimental design to detect short-term effects on the nongame fish assemblage and found no significant differences in fish density, species richness, species diversity, or fish microhabitat use associated with trout stocking. We observed differences in fish microhabitat use between years, however, which suggests there is a response to environmental changes, such as the flow regime, which influence available habitat. In the extensive study, we sampled paired stocked and unstocked stream reaches to detect long-term effects from trout stocking; however, we detected no differences in nongame fish density, species richness, species diversity, or population size structure between paired sites. Our results revealed high inherent system variation caused by natural and anthropogenic factors that appear to overwhelm any acute or chronic effect of stocked trout. Furthermore, hatchery-reared trout may be poor competitors in a natural setting and exert a minimal or undetectable impact on native fish assemblages in these streams. These findings provide quantitative results necessary to assist agencies in strategic planning and decision making associated with trout fisheries, stream management, and conservation of native fishes.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2013.815662","collaboration":"NCWRC; North Carolina State University; U.S. Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Weaver, D., and Kwak, T.J., 2013, Assessing effects of stocked trout on nongame fish assemblages in southern Appalachian Mountain streams: Transactions of the American Fisheries Society, v. 142, no. 6, p. 1495-1507, https://doi.org/10.1080/00028487.2013.815662.","productDescription":"13 p.","startPage":"1495","endPage":"1507","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042221","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-20","publicationStatus":"PW","scienceBaseUri":"55853d30e4b023124e8f5aed","contributors":{"authors":[{"text":"Weaver, D.","contributorId":71750,"corporation":false,"usgs":true,"family":"Weaver","given":"D.","affiliations":[],"preferred":false,"id":548975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548967,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70112474,"text":"70112474 - 2013 - Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration","interactions":[],"lastModifiedDate":"2014-07-28T08:47:26","indexId":"70112474","displayToPublicDate":"2013-01-01T10:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration","docAbstract":"Potential evapotranspiration (PET) and reference evapotranspiration (RET) data are usually critical components of hydrologic analysis. Many different equations are available to estimate PET and RET. Most of these equations, such as the Priestley-Taylor and Penman- Monteith methods, rely on detailed meteorological data collected at ground-based weather stations. Few weather stations collect enough data to estimate PET or RET using one of the more complex evapotranspiration equations. Currently, satellite data integrated with ground meteorological data are used with one of these evapotranspiration equations to accurately estimate PET and RET. However, earlier than the last few decades, historical reconstructions of PET and RET needed for many hydrologic analyses are limited by the paucity of satellite data and of some types of ground data. Air temperature stands out as the most generally available meteorological ground data type over the last century. Temperature-based approaches used with readily available historical temperature data offer the potential for long period-of-record PET and RET historical reconstructions. A challenge is the inconsistency between the more accurate, but more data intensive, methods appropriate for more recent periods and the less accurate, but less data intensive, methods appropriate to the more distant past. In this study, multiple methods are harmonized in a seamless reconstruction of historical PET and RET by quantifying and eliminating the biases of the simple Hargreaves-Samani method relative to the more complex and accurate Priestley-Taylor and Penman-Monteith methods. This harmonization process is used to generate long-term, internally consistent, spatiotemporal databases of PET and RET.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"New York, NY","doi":"10.1061/(ASCE)HE.1943-5584.0000935","usgsCitation":"Belaineh, G., Sumner, D., Carter, E., and Clapp, D., 2013, Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration: Journal of Hydrologic Engineering, v. 19, no. 8, 8 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0000935.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-039256","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":288621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288619,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000935"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.0,27.0 ], [ -84.0,31.0 ], [ -80.0,31.0 ], [ -80.0,27.0 ], [ -84.0,27.0 ] ] ] } } ] }","volume":"19","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7736e4b0abf75cf2c0a7","contributors":{"authors":[{"text":"Belaineh, Getachew","contributorId":37262,"corporation":false,"usgs":true,"family":"Belaineh","given":"Getachew","email":"","affiliations":[],"preferred":false,"id":494756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sumner, David","contributorId":63731,"corporation":false,"usgs":true,"family":"Sumner","given":"David","affiliations":[],"preferred":false,"id":494758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Edward","contributorId":49714,"corporation":false,"usgs":true,"family":"Carter","given":"Edward","email":"","affiliations":[],"preferred":false,"id":494757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clapp, David","contributorId":10338,"corporation":false,"usgs":true,"family":"Clapp","given":"David","email":"","affiliations":[],"preferred":false,"id":494755,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039019,"text":"70039019 - 2013 - Using habitat suitability models to target invasive plant species surveys","interactions":[],"lastModifiedDate":"2014-01-15T10:37:19","indexId":"70039019","displayToPublicDate":"2013-01-01T10:30:01","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Using habitat suitability models to target invasive plant species surveys","docAbstract":"Managers need new tools for detecting the movement and spread of nonnative, invasive species. Habitat suitability models are a popular tool for mapping the potential distribution of current invaders, but the ability of these models to prioritize monitoring efforts has not been tested in the field. We tested the utility of an iterative sampling design (i.e., models based on field observations used to guide subsequent field data collection to improve the model), hypothesizing that model performance would increase when new data were gathered from targeted sampling using criteria based on the initial model results. We also tested the ability of habitat suitability models to predict the spread of invasive species, hypothesizing that models would accurately predict occurrences in the field, and that the use of targeted sampling would detect more species with less sampling effort than a nontargeted approach. We tested these hypotheses on two species at the state scale (<i>Centaurea stoebe</i> and <i>Pastinaca sativa</i>) in Wisconsin (USA), and one genus at the regional scale (<i>Tamarix</i>) in the western United States. These initial data were merged with environmental data at 30-m<sup>2</sup> resolution for Wisconsin and 1-km<sup>2</sup> resolution for the western United States to produce our first iteration models. We stratified these initial models to target field sampling and compared our models and success at detecting our species of interest to other surveys being conducted during the same field season (i.e., nontargeted sampling). Although more data did not always improve our models based on correct classification rate (CCR), sensitivity, specificity, kappa, or area under the curve (AUC), our models generated from targeted sampling data always performed better than models generated from nontargeted data. For Wisconsin species, the model described actual locations in the field fairly well (kappa = 0.51, 0.19, P < 0.01), and targeted sampling did detect more species than nontargeted sampling with less sampling effort (χ<sup>2</sup>) = 47.42, P < 0.01). From these findings, we conclude that habitat suitability models can be highly useful tools for guiding invasive species monitoring, and we support the use of an iterative sampling design for guiding such efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/12-0465.1","usgsCitation":"Crall, A.W., Jarnevich, C.S., Panke, B., Young, N., Renz, M., and Morisette, J., 2013, Using habitat suitability models to target invasive plant species surveys: Ecological Applications, v. 23, no. 1, p. 60-72, https://doi.org/10.1890/12-0465.1.","productDescription":"13 p.","startPage":"60","endPage":"72","numberOfPages":"13","ipdsId":"IP-039050","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":281074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0465.1"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.88,25.85 ], [ -124.88,49.04 ], [ -86.76,49.04 ], [ -86.76,25.85 ], [ -124.88,25.85 ] ] ] } } ] }","volume":"23","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7acae4b0b2908510db58","contributors":{"authors":[{"text":"Crall, Alycia W.","contributorId":60123,"corporation":false,"usgs":true,"family":"Crall","given":"Alycia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":465451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":465448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panke, Brendon","contributorId":22244,"corporation":false,"usgs":true,"family":"Panke","given":"Brendon","email":"","affiliations":[],"preferred":false,"id":465449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Nick","contributorId":28489,"corporation":false,"usgs":true,"family":"Young","given":"Nick","email":"","affiliations":[],"preferred":false,"id":465450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renz, Mark","contributorId":89440,"corporation":false,"usgs":true,"family":"Renz","given":"Mark","affiliations":[],"preferred":false,"id":465452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morisette, Jeffrey","contributorId":100739,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","affiliations":[],"preferred":false,"id":465453,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70121488,"text":"70121488 - 2013 - Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","interactions":[],"lastModifiedDate":"2014-08-22T10:22:26","indexId":"70121488","displayToPublicDate":"2013-01-01T10:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","docAbstract":"<p>Coastal Louisiana wetlands contain about 37% of the estuarine herbaceous marshes in the conterminous United States. The long-term stability of coastal wetlands is often a function of a wetland's ability to maintain elevation equilibrium with mean sea level through processes such as primary production and sediment accretion. However, Louisiana has sustained more coastal wetland loss than all other states in the continental United States combined due to a combination of natural and anthropogenic factors, including sea-level rise. This study investigates the potential impact of current and accelerating sea-level rise rates on key coastal wetland habitats in southeastern Louisiana using the Sea Level Affecting Marshes Model (SLAMM). Model calibration was conducted using a 1956–2007 observation period and hindcasting results predicted 35% versus observed 39% total marsh loss. Multiple sea-level-rise scenarios were then simulated for the period of 2007–2100. Results indicate a range of potential wetland losses by 2100, from an additional 2,188.97 km<sup>2</sup> (218,897 ha, 9% of the 2007 wetland area) under the lowest sea-level-rise scenario (0.34 m), to a potential loss of 5,875.27 km<sup>2</sup> (587,527 ha, 24% of the 2007 wetland area) in the highest sea-level-rise scenario (1.9 m). Model results suggest that one area of particular concern is the potential vulnerability of the region's baldcypress-water tupelo (<i>Taxodium distichum-Nyssa aquatica</i>) swamp habitat, much of which is projected to become permanently flooded (affecting regeneration) under all modeled scenarios for sea-level rise. These findings will aid in the development of ecosystem management plans that support the processes and conditions that result in sustainable coastal ecosystems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-0017.1","usgsCitation":"Glick, P., Clough, J., Polaczyk, A., Couvillion, B.R., and Nunley, B., 2013, Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana: Journal of Coastal Research, p. 211-233, https://doi.org/10.2112/SI63-0017.1.","productDescription":"23 p.","startPage":"211","endPage":"233","numberOfPages":"23","ipdsId":"IP-035358","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292843,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-0017.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0768,28.9254 ], [ -92.0768,30.4599 ], [ -88.8162,30.4599 ], [ -88.8162,28.9254 ], [ -92.0768,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8597ee4b03f038c5c189c","contributors":{"authors":[{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":499120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clough, Jonathan","contributorId":86488,"corporation":false,"usgs":true,"family":"Clough","given":"Jonathan","affiliations":[],"preferred":false,"id":499122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polaczyk, Amy","contributorId":51214,"corporation":false,"usgs":true,"family":"Polaczyk","given":"Amy","email":"","affiliations":[],"preferred":false,"id":499121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nunley, Brad","contributorId":96197,"corporation":false,"usgs":true,"family":"Nunley","given":"Brad","email":"","affiliations":[],"preferred":false,"id":499123,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70139358,"text":"70139358 - 2013 - Confronting dynamics and uncertainty in optimal decision making for conservation","interactions":[],"lastModifiedDate":"2015-01-27T09:17:30","indexId":"70139358","displayToPublicDate":"2013-01-01T10:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Confronting dynamics and uncertainty in optimal decision making for conservation","docAbstract":"<p>The effectiveness of conservation efforts ultimately depends on the recognition that decision making, and the systems that it is designed to affect, are inherently dynamic and characterized by multiple sources of uncertainty. To cope with these challenges, conservation planners are increasingly turning to the tools of decision analysis, especially dynamic optimization methods. Here we provide a general framework for optimal, dynamic conservation and then explore its capacity for coping with various sources and degrees of uncertainty. In broadest terms, the dynamic optimization problem in conservation is choosing among a set of decision options at periodic intervals so as to maximize some conservation objective over the planning horizon. Planners must account for immediate objective returns, as well as the effect of current decisions on future resource conditions and, thus, on future decisions. Undermining the effectiveness of such a planning process are uncertainties concerning extant resource conditions (partial observability), the immediate consequences of decision choices (partial controllability), the outcomes of uncontrolled, environmental drivers (environmental variation), and the processes structuring resource dynamics (structural uncertainty). Where outcomes from these sources of uncertainty can be described in terms of probability distributions, a focus on maximizing the expected objective return, while taking state-specific actions, is an effective mechanism for coping with uncertainty. When such probability distributions are unavailable or deemed unreliable, a focus on maximizing robustness is likely to be the preferred approach. Here the idea is to choose an action (or state-dependent policy) that achieves at least some minimum level of performance regardless of the (uncertain) outcomes. We provide some examples of how the dynamic optimization problem can be framed for problems involving management of habitat for an imperiled species, conservation of a critically endangered population through captive breeding, control of invasive species, construction of biodiversity reserves, design of landscapes to increase habitat connectivity, and resource exploitation. Although these decision making problems and their solutions present significant challenges, we suggest that a systematic and effective approach to dynamic decision making in conservation need not be an onerous undertaking. The requirements are shared with any systematic approach to decision making--a careful consideration of values, actions, and outcomes.</p>","language":"English","publisher":"Institute of Physics","publisherLocation":"Bristol, UK","doi":"10.1088/1748-9326/8/2/025004","usgsCitation":"Williams, B.K., and Johnson, F.A., 2013, Confronting dynamics and uncertainty in optimal decision making for conservation: Environmental Research Letters, v. 8, no. 2, p. 1-16, https://doi.org/10.1088/1748-9326/8/2/025004.","productDescription":"16 p.","startPage":"1","endPage":"16","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051506","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474008,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/2/025004","text":"Publisher Index Page"},{"id":297567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297566,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iopscience.iop.org/1748-9326/8/2/025004"}],"volume":"8","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"54dd2b68e4b08de9379b336a","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":539333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539323,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125273,"text":"70125273 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","interactions":[],"lastModifiedDate":"2014-09-25T09:56:39","indexId":"70125273","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NRR--2013/665.22","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","docAbstract":"<p>Climate is a master controller of the structure, composition, and function of biotic communities, \naffecting them both directly, through physiological effects, and indirectly, by mediating biotic \ninteractions and by influencing disturbance regimes. Sequoia and Kings Canyon National Park’s \n(SEKI’s) dramatic elevational changes in biotic communities -- from warm mediterranean to \ncold alpine -- are but one manifestation of climate’s overarching importance in shaping SEKI’s \nlandscape. </p>\n<br>\n<p>Yet humans are now altering the global climate, with measurable effects on ecosystems (IPCC \n2007). Over the last few decades across the western United States, human-induced climatic \nchanges have likely contributed to observed declines in fraction of precipitation falling as snow \nand snowpack water content (Mote et al. 2005, Knowles et al. 2006), advance in spring \nsnowmelt (Stewart et al. 2005, Barnett et al. 2008), and consequent increase in area burned in \nwildfires (Westerling et al. 2006). In the Sierra Nevada, warming temperatures have likely \ncontributed to observed glacial recession (Basagic 2008), uphill migration of small mammals \n(Moritz et al. 2008), and increasing tree mortality rates (van Mantgem and Stephenson 2007, van \nMantgem et al. 2009). More substantial changes can be expected for the future (e.g., IPCC \n2007).</p>\n<br>\n<p>Given the central importance of climate and climatic changes, we sought to describe long-term \ntrends in temperature and precipitation at SEKI. Time and budget constraints limited us to \nanalyses of mean annual temperature and mean annual precipitation, using readily-available data. \nIf funds become available in the future, further analyses will be needed to analyze trends by \nseason, trends in daily minimum and maximum temperatures, and so on.</p>\n<br>\n<p>We chose to analyze data from individual weather stations rather than use interpolated climatic \ndata from sources such as PRISM (http://www.prism.oregonstate.edu/). In topographically \ncomplex mountainous regions with few weather stations, like SEKI, the addition or subtraction \nof even a single weather station through time has the potential to significantly bias trends in \ninterpolated data. In particular, this analysis was motivated by our questioning of some PRISM \nresults presented in Appendix 1 (Landscape Context) that compared temperature averages \nbetween two 30-year periods of the 20th Century. Figures 6 and 11 of Appendix 1 indicate that \nrecent (1971-2000) temperatures in northern Kings Canyon National Park averaged some 2° C \ncooler than those of 1911-1940. This would represent a truly profound and persistent cooling, \nand seems to be at odds both with the glacial retreats observed in the area over the century \n(Basagic 2008), and with the reported PRISM warming of nearly 2° C just to the west of the \ncooling (see Figs. 6 and 11 in Appendix 1). We suspect that the extreme localized Kings Canyon \ncooling reported by PRISM is an artifact of sparsely-distributed weather stations in the region \nbeing added and discontinued over the span of the 20th Century. For example, data from the \nWestern Regional Climate Center (http://www.wrcc.dri.edu/coopmap/) suggest that for the \nperiod 1911 through 1924 PRISM must interpolate northern Kings Canyon temperatures based \non a few low-elevation stations -- separated by hundreds of kilometers -- in Nevada and \nCalifornia’s San Joaquin Valley. In contrast, by 1970 PRISM interpolations will be dominated \nby closer, higher-elevation stations (see this report). The single weather station closest to \nnorthern Kings Canyon that has a temperature record at least partly spanning Appendix 1’s two\n30-year time periods -- the Independence station, with a relatively continuous temperature record \nstarting in 1925 -- shows a modest warming, not a cooling, between 1925-1940 and 1971-2000, \nfurther casting doubt on the Kings Canyon cooling shown in Figs. 6 and 11 of Appendix 1. If \nfunds become available, it will be useful to more formally analyze potential PRISM biases in \nlong-term SEKI climatic trends. Until then, the analyses of individual weather station records \npresented here (effectively an analysis of source data that PRISM uses) are meant to provide a \nrobust summary of climatic changes in SEKI.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Das, A., and Stephenson, N.L., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change: Natural Resource Report NPS/SEKI/NRR--2013/665.22, v, 28 p.","productDescription":"v, 28 p.","numberOfPages":"36","ipdsId":"IP-039290","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294466,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195963"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e99e4b0e641df8a6e1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128270,"text":"70128270 - 2013 - Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","interactions":[],"lastModifiedDate":"2014-10-07T08:59:46","indexId":"70128270","displayToPublicDate":"2013-01-01T08:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","docAbstract":"Organic contaminants and trace elements were measured in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization. Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, organochlorine pesticides, the pyrethroid insecticide bifenthrin, and several trace elements were significantly related to urbanization across study areas. Most contaminants (except bifenthrin, chromium, nickel) were significantly related to the total organic carbon (TOC) content of the sediments. Regression models explained 45–80 % of the variability in individual contaminant concentrations using degree of urbanization, sediment-TOC, and study-area indicator variables (which represent the combined influence of unknown factors, such as chemical use or release, that are not captured by available explanatory variables). The significance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sediment-TOC. Mean probable effect concentration quotients (PECQs) were significantly related to urbanization. Trace elements were the major contributors to mean PECQs at undeveloped sites, whereas organic contaminants, especially bifenthrin, were the major contributors at highly urban sites. Pyrethroids, where detected, accounted for the largest share of the mean PECQ. Part 2 of this series (Kemble et al. 2012) evaluates sediment toxicity to amphipods and midge in relation to sediment chemistry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00244-012-9813-0","usgsCitation":"Nowell, L.H., Moran, P.W., Gilliom, R.J., Calhoun, D.L., Ingersoll, C.G., Kemble, N.E., Kuivila, K., and Phillips, P., 2013, Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization: Archives of Environmental Contamination and Toxicology, v. 64, no. 1, p. 32-51, https://doi.org/10.1007/s00244-012-9813-0.","productDescription":"20 p.","startPage":"32","endPage":"51","numberOfPages":"20","ipdsId":"IP-018523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294959,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-012-9813-0"},{"id":294960,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00244-012-9813-0"}],"volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"543500a1e4b0a4f4b46a2380","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502786,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70138191,"text":"70138191 - 2013 - Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?","interactions":[],"lastModifiedDate":"2015-01-15T11:45:59","indexId":"70138191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?","docAbstract":"<p><span>In the United States, estimation of flood frequency quantiles at ungauged locations has been largely based on regional regression techniques that relate measurable catchment descriptors to flood quantiles. More recently, spatial interpolation techniques of point data have been shown to be effective for predicting streamflow statistics (i.e., flood flows and low-flow indices) in ungauged catchments. Literature reports successful applications of two techniques, canonical kriging, CK (or physiographical-space-based interpolation, PSBI), and topological kriging, TK (or top-kriging). CK performs the spatial interpolation of the streamflow statistic of interest in the two-dimensional space of catchment descriptors. TK predicts the streamflow statistic along river networks taking both the catchment area and nested nature of catchments into account. It is of interest to understand how these spatial interpolation methods compare with generalized least squares (GLS) regression, one of the most common approaches to estimate flood quantiles at ungauged locations. By means of a leave-one-out cross-validation procedure, the performance of CK and TK was compared to GLS regression equations developed for the prediction of 10, 50, 100 and 500 yr floods for 61 streamgauges in the southeast United States. TK substantially outperforms GLS and CK for the study area, particularly for large catchments. The performance of TK over GLS highlights an important distinction between the treatments of spatial correlation when using regression-based or spatial interpolation methods to estimate flood quantiles at ungauged locations. The analysis also shows that coupling TK with CK slightly improves the performance of TK; however, the improvement is marginal when compared to the improvement in performance over GLS.</span><span><br /></span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-17-1575-2013","usgsCitation":"Archfield, S.A., Pugliese, A., Castellarin, A., Skoien, J.O., and Kiang, J.E., 2013, Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?: Hydrology and Earth System Sciences, v. 17, p. 1575-1588, https://doi.org/10.5194/hess-17-1575-2013.","productDescription":"14 p.","startPage":"1575","endPage":"1588","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-041594","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":474174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-17-1575-2013","text":"Publisher Index Page"},{"id":297289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -171.73828125,\n              17.97873309555617\n            ],\n            [\n              -171.73828125,\n              71.35706654962706\n            ],\n            [\n              -66.26953125,\n              71.35706654962706\n            ],\n            [\n              -66.26953125,\n              17.97873309555617\n            ],\n            [\n              -171.73828125,\n              17.97873309555617\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-23","publicationStatus":"PW","scienceBaseUri":"54dd2c72e4b08de9379b3803","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":538597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pugliese, Alessio","contributorId":138746,"corporation":false,"usgs":false,"family":"Pugliese","given":"Alessio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":538598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellarin, Attilio","contributorId":138747,"corporation":false,"usgs":false,"family":"Castellarin","given":"Attilio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":538599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skoien, Jon O.","contributorId":138748,"corporation":false,"usgs":false,"family":"Skoien","given":"Jon","email":"","middleInitial":"O.","affiliations":[{"id":12517,"text":"Inst for Env & Sust, JRC, EC, Italy","active":true,"usgs":false}],"preferred":false,"id":538600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":538601,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70145819,"text":"70145819 - 2013 - Red-backed vole brain promotes highly efficient <i>in vitro</i> amplification of abnormal prion protein from macaque and human brains infected with variant Creutzfeldt-Jakob disease agent.","interactions":[],"lastModifiedDate":"2015-04-09T13:06:03","indexId":"70145819","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Red-backed vole brain promotes highly efficient <i>in vitro</i> amplification of abnormal prion protein from macaque and human brains infected with variant Creutzfeldt-Jakob disease agent.","docAbstract":"<p><span>Rapid antemortem tests to detect individuals with transmissible spongiform encephalopathies (TSE) would contribute to public health. We investigated a technique known as protein misfolding cyclic amplification (PMCA) to amplify abnormal prion protein (PrP</span><span>TSE</span><span>) from highly diluted variant Creutzfeldt-Jakob disease (vCJD)-infected human and macaque brain homogenates, seeking to improve the rapid detection of PrP</span><span>TSE</span><span>&nbsp;in tissues and blood. Macaque vCJD PrP</span><span>TSE</span><span>&nbsp;did not amplify using normal macaque brain homogenate as substrate (intraspecies PMCA). Next, we tested interspecies PMCA with normal brain homogenate of the southern red-backed vole (RBV), a close relative of the bank vole, seeded with macaque vCJD PrP</span><span>TSE</span><span>. The RBV has a natural polymorphism at residue 170 of the PrP-encoding gene (N/N, S/S, and S/N). We investigated the effect of this polymorphism on amplification of human and macaque vCJD PrP</span><span>TSE</span><span>. Meadow vole brain (170N/N PrP genotype) was also included in the panel of substrates tested. Both humans and macaques have the same 170S/S PrP genotype. Macaque PrP</span><span>TSE</span><span>&nbsp;was best amplified with RBV 170S/S brain, although 170N/N and 170S/N were also competent substrates, while meadow vole brain was a poor substrate. In contrast, human PrP</span><span>TSE</span><span>&nbsp;demonstrated a striking narrow selectivity for PMCA substrate and was successfully amplified only with RBV 170S/S brain. These observations suggest that macaque PrP</span><span>TSE</span><span>&nbsp;was more permissive than human PrP</span><span>TSE</span><span>&nbsp;in selecting the competent RBV substrate. RBV 170S/S brain was used to assess the sensitivity of PMCA with PrP</span><span>TSE</span><span>&nbsp;from brains of humans and macaques with vCJD. PrP</span><span>TSE</span><span>&nbsp;signals were reproducibly detected by Western blot in dilutions through 10</span><span>-12</span><span>&nbsp;of vCJD-infected 10% brain homogenates. This is the first report showing PrP</span><span>TSE</span><span>&nbsp;from vCJD-infected human and macaque brains efficiently amplified with RBV brain as the substrate. Based on our estimates, PMCA showed a sensitivity that might be sufficient to detect PrP</span><span>TSE</span><span>&nbsp;in vCJD-infected human and macaque blood.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0078710","usgsCitation":"Nemecek, J., Nag, N., Carlson, C.M., Schneider, J.R., Heisey, D.M., Johnson, C.J., Asher, D.M., and Gregori, L., 2013, Red-backed vole brain promotes highly efficient <i>in vitro</i> amplification of abnormal prion protein from macaque and human brains infected with variant Creutzfeldt-Jakob disease agent.: PLoS ONE, v. 8, no. 10, e78710: 11 p., https://doi.org/10.1371/journal.pone.0078710.","productDescription":"e78710: 11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045810","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0078710","text":"Publisher Index Page"},{"id":299542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-24","publicationStatus":"PW","scienceBaseUri":"5527a2b6e4b026915857c859","contributors":{"authors":[{"text":"Nemecek, Julie","contributorId":140142,"corporation":false,"usgs":false,"family":"Nemecek","given":"Julie","email":"","affiliations":[{"id":13395,"text":"Food and Drug Administration","active":true,"usgs":false}],"preferred":false,"id":544427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nag, Nabanita","contributorId":140143,"corporation":false,"usgs":false,"family":"Nag","given":"Nabanita","email":"","affiliations":[{"id":13395,"text":"Food and Drug Administration","active":true,"usgs":false}],"preferred":false,"id":544428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Christina M. 0000-0002-4950-8273 cmcarlson@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-8273","contributorId":5968,"corporation":false,"usgs":true,"family":"Carlson","given":"Christina","email":"cmcarlson@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, Jay R. jrschneider@usgs.gov","contributorId":5512,"corporation":false,"usgs":true,"family":"Schneider","given":"Jay","email":"jrschneider@usgs.gov","middleInitial":"R.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Christopher J. cjjohnson@usgs.gov","contributorId":3491,"corporation":false,"usgs":true,"family":"Johnson","given":"Christopher","email":"cjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Asher, David M.","contributorId":140145,"corporation":false,"usgs":false,"family":"Asher","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13395,"text":"Food and Drug Administration","active":true,"usgs":false}],"preferred":false,"id":544432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gregori, Luisa","contributorId":140146,"corporation":false,"usgs":false,"family":"Gregori","given":"Luisa","email":"","affiliations":[{"id":13395,"text":"Food and Drug Administration","active":true,"usgs":false}],"preferred":false,"id":544433,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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