{"pageNumber":"1327","pageRowStart":"33150","pageSize":"25","recordCount":165355,"records":[{"id":70111897,"text":"70111897 - 2014 - Arthropod community structure on bark of koa (Acacia koa) and ʻōhiʻā (Metrosideros polymorpha) at Hakalau Forest National Wildlife Refuge, Hawaiʻi Island, Hawaiʻi","interactions":[],"lastModifiedDate":"2014-07-02T09:08:38","indexId":"70111897","displayToPublicDate":"2014-05-01T08:59:07","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TR HCSU-050","title":"Arthropod community structure on bark of koa (Acacia koa) and ʻōhiʻā (Metrosideros polymorpha) at Hakalau Forest National Wildlife Refuge, Hawaiʻi Island, Hawaiʻi","docAbstract":"

The arthropod community associated with tree bark contains a wide variety of taxa but is poorly described, particularly in Hawaiʽi. Our overall goals were to evaluate the abundance of arthropods available to foraging birds and how variation in bark substrates may contribute to arthropod distributions in native forests. Our study aimed to identify this fauna on the dominant canopy-forming trees koa (Acacia koa) and ʽōhiʽa (Metrosideros polymorpha) within wet montane forest at Hakalau Forest National Wildlife Refuge, Hawaiʽi Island. At two sites roughly similar in elevation and habitat structure, we deployed three trap types designed to intercept arthropods moving along bark within tree canopies: a bole trap based on a pre-existing design and two traps specially designed for this study. Bole traps were placed on koa and ʽōhiʽa while branch traps were established on large and small branches of ʽōhiʽa. In total, 15 arthropod orders were identified, with Collembola most abundant (number/trap-day) generally followed by Isopoda and Araneae. Differences in abundance were found in some instances, but overall, few differences were detected between tree species or sites. Relative abundances of arthropod groups were also generally similar between trees and sites and among different parts of ʽōhiʽa. These results indicate that bark-dwelling arthropod communities are similar on koa and ʽōhiʽa, and birds should not develop strong preferences for gleaning arthropods from the bark of either species of tree based on prey availability.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Hawai�i Cooperative Studies Unit Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University of Hawaii","publisherLocation":"Hilo, HI","usgsCitation":"Peck, R.W., Banko, P.C., and Stelmach, M., 2014, Arthropod community structure on bark of koa (Acacia koa) and ʻōhiʻā (Metrosideros polymorpha) at Hakalau Forest National Wildlife Refuge, Hawaiʻi Island, Hawaiʻi, ii, 19 p.","productDescription":"ii, 19 p.","numberOfPages":"23","ipdsId":"IP-056744","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":289360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288190,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hakalau Forest National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.0967537803,19.6970893197 ], [ -155.0967537803,19.6997872803 ], [ -155.0940558197,19.6997872803 ], [ -155.0940558197,19.6970893197 ], [ -155.0967537803,19.6970893197 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0a0e4b0388651d91635","contributors":{"authors":[{"text":"Peck, Robert W.","contributorId":45629,"corporation":false,"usgs":true,"family":"Peck","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":494500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelmach, Matt","contributorId":62931,"corporation":false,"usgs":true,"family":"Stelmach","given":"Matt","email":"","affiliations":[],"preferred":false,"id":494501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70099287,"text":"sir20105090Q - 2014 - Platinum-group elements in southern Africa: mineral inventory and an assessment of undiscovered mineral resources","interactions":[{"subject":{"id":70099287,"text":"sir20105090Q - 2014 - Platinum-group elements in southern Africa: mineral inventory and an assessment of undiscovered mineral resources","indexId":"sir20105090Q","publicationYear":"2014","noYear":false,"chapter":"Q","title":"Platinum-group elements in southern Africa: mineral inventory and an assessment of undiscovered mineral resources"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2022-12-09T20:58:55.027405","indexId":"sir20105090Q","displayToPublicDate":"2014-05-01T08:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"Q","title":"Platinum-group elements in southern Africa: mineral inventory and an assessment of undiscovered mineral resources","docAbstract":"

The platinum-group elements, platinum, palladium, rhodium, ruthenium, iridium, and osmium, possess unique physical and chemical characteristics that make them indispensable to modern technology and industry. However, mineral deposits that are the main sources of these elements occur only in three countries in the world, raising concerns about potential disruption in mineral supply. Using information in the public domain, mineral resource and reserve information has been compiled for mafic and ultramafic rocks in South Africa and Zimbabwe that host most of the world’s platinum-group element resources.

\n

As of 2012, exploration and mining companies have delineated more than 20 billion metric tons of mineralized rock containing 42,000 metric tons of platinum, 29,000 metric tons of palladium, and 5,200 metric tons of rhodium, primarily in mafic and ultramafic intrusions of the Bushveld Complex and the Great Dyke, in southern Africa. Additional mineralized rock is likely to occur in extensions to the well-explored and characterized volumes of mineralized rock. Underexplored extensions of stratabound platinum-group element (PGE) deposits in the Bushveld Complex in South Africa may contain 65,000 metric tons of platinum, palladium, and rhodium to a depth of 3 km. Rocks enriched in PGE, which occur near the contact of the Bushveld Complex with older Transvaal Supergroup sedimentary rocks, may contain 1,100 metric tons of platinum and 1,370 metric tons of palladium (mean estimate to a depth of 1 km). A stratabound platinum-group element deposit in the Great Dyke in Zimbabwe may contain 6,900 metric tons of undiscovered platinum, palladium, and rhodium. By comparison, the global net demand for PGE in 2012 was approximately 460 metric tons. Since the 1920s, mining has recovered 7,200 and 107 metric tons of platinum-group elements from the Bushveld Complex and the Great Dyke, respectively.

\n

The large layered intrusions in southern Africa—the Bushveld Complex and the Great Dyke—are now and will continue to be a major source of the world’s supply of PGE. Mining will not deplete the identified mineral resources and reserves or potential undiscovered mineral resources for many decades; however, in the near-term, PGE supply could be affected by social, environmental, political, and economic factors.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090Q","usgsCitation":"Zientek, M.L., Causey, J.D., Parks, H.L., and Miller, R.J., 2014, Platinum-group elements in southern Africa: mineral inventory and an assessment of undiscovered mineral resources: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: xi, 126 p.; GIS Data; Appendix, https://doi.org/10.3133/sir20105090Q.","productDescription":"Report: xi, 126 p.; GIS Data; Appendix","numberOfPages":"142","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051972","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":286843,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090q.jpg"},{"id":286841,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/q/downloads/sir2010-5090Q_appendixC.zip","text":"Appendix C","linkFileType":{"id":6,"text":"zip"},"description":"Appendix C"},{"id":286840,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/q/downloads/sir2010-5090Q_GISdata.zip","text":"GIS Data","linkFileType":{"id":6,"text":"zip"},"description":"GIS Data"},{"id":286837,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/q/","linkFileType":{"id":5,"text":"html"}},{"id":286839,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/q/pdf/sir2010-5090Q.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Africa Lambert Conformal Conic Projection","country":"South Africa, Zimbabwe","otherGeospatial":"Southern Africa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[31.521,-29.25739],[31.32556,-29.40198],[30.90176,-29.90996],[30.62281,-30.42378],[30.05572,-31.14027],[28.92555,-32.17204],[28.21976,-32.77195],[27.46461,-33.22696],[26.41945,-33.61495],[25.90966,-33.66704],[25.78063,-33.94465],[25.17286,-33.79685],[24.67785,-33.98718],[23.59404,-33.79447],[22.98819,-33.91643],[22.57416,-33.86408],[21.5428,-34.25884],[20.68905,-34.41718],[20.07126,-34.79514],[19.61641,-34.81917],[19.19328,-34.4626],[18.85531,-34.44431],[18.42464,-33.99787],[18.37741,-34.13652],[18.2445,-33.86775],[18.25008,-33.28143],[17.92519,-32.61129],[18.24791,-32.42913],[18.22176,-31.66163],[17.56692,-30.72572],[17.06442,-29.87864],[17.06292,-29.87595],[16.34498,-28.57671],[16.82402,-28.08216],[17.21893,-28.35594],[17.3875,-28.78351],[17.83615,-28.85638],[18.4649,-29.04546],[19.00213,-28.97244],[19.89473,-28.4611],[19.89577,-24.76779],[20.16573,-24.91796],[20.75861,-25.86814],[20.66647,-26.47745],[20.88961,-26.82854],[21.6059,-26.72653],[22.10597,-26.28026],[22.57953,-25.97945],[22.82427,-25.50046],[23.3121,-25.26869],[23.73357,-25.39013],[24.21127,-25.67022],[25.02517,-25.71967],[25.66467,-25.48682],[25.76585,-25.17485],[25.94165,-24.69637],[26.48575,-24.61633],[26.78641,-24.24069],[27.11941,-23.57432],[28.01724,-22.82775],[29.43219,-22.09131],[28.79466,-21.63945],[28.02137,-21.48598],[27.72723,-20.8518],[27.72475,-20.49906],[27.2965,-20.39152],[26.16479,-19.29309],[25.85039,-18.71441],[25.64916,-18.53603],[25.26423,-17.73654],[26.38194,-17.84604],[26.70677,-17.96123],[27.04443,-17.93803],[27.59824,-17.29083],[28.46791,-16.4684],[28.82587,-16.38975],[28.94746,-16.04305],[29.51683,-15.64468],[30.27426,-15.50779],[30.33895,-15.88084],[31.17306,-15.86094],[31.6365,-16.07199],[31.85204,-16.31942],[32.32824,-16.39207],[32.84764,-16.7134],[32.84986,-17.97906],[32.65489,-18.67209],[32.61199,-19.41938],[32.77271,-19.71559],[32.65974,-20.30429],[32.50869,-20.39529],[32.24499,-21.11649],[31.19141,-22.25151],[31.6704,-23.65897],[31.93059,-24.36942],[31.75241,-25.48428],[31.83778,-25.84333],[31.33316,-25.66019],[31.04408,-25.73145],[30.94967,-26.02265],[30.67661,-26.39808],[30.68596,-26.74385],[31.28277,-27.28588],[31.86806,-27.17793],[32.07167,-26.73382],[32.83012,-26.74219],[32.58026,-27.47016],[32.46213,-28.30101],[32.20339,-28.7524],[31.521,-29.25739]]],[[[28.5417,-28.6475],[28.97826,-28.9556],[29.32517,-29.25739],[29.01842,-29.74377],[28.8484,-30.07005],[28.29107,-30.22622],[28.1072,-30.54573],[27.7494,-30.64511],[26.99926,-29.87595],[27.53251,-29.24271],[28.07434,-28.85147],[28.5417,-28.6475]]]]},\"properties\":{\"name\":\"South Africa\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53659189e4b05b5c4c6db10e","contributors":{"authors":[{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":491954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Causey, J. Douglas","contributorId":41398,"corporation":false,"usgs":true,"family":"Causey","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":491957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":491956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":491955,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129722,"text":"70129722 - 2014 - Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon","interactions":[],"lastModifiedDate":"2017-09-11T09:12:22","indexId":"70129722","displayToPublicDate":"2014-05-01T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"title":"Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon","docAbstract":"

Renibacterium salmoninarum is the causative agent of bacterial kidney disease (BKD) affecting several species of Pacific salmon.  The severity of BKD can range from a chronic infection to overt disease with high mortality as in the case of large losses of adult Chinook salmon (Oncorhynchus tshawytscha) in the Great Lakes during late 1980s. The goal of this study was to empirically evaluate how environmental stressors relevant to the Great Lakes impact R. salmoninarum disease progression and bacterial shedding, the latter parameter being a proxy of horizontal transmission. In the first study (Aim 1), we focused on how endogenous host thiamine levels and dietary fatty acids impacted resistance of Chinook salmon to R. salmoninarum. Juvenile fish were fed one of four experimental diets, including a (1) thiamine replete diet formulated with fish oil, (2) thiamine deplete diet formulated with fish oil, (3) thiamine replete diet formulated with soybean oil, and (4) thiamine deplete diet formulated with soybean oil, before being challenged with buffer or R. salmoninarum. We observed significantly higher mortality in the R. salmoninarum infected groups relative to the corresponding mock controls in only the thiamine replete diet groups. We also observed a significant effect of time and diet on kidney bacterial load and bacterial shedding, with a significant trend towards higher shedding and bacterial load in the fish oil – thiamine replete diet group. However, during the course of the study, unexpected mortality occurred in all groups attributed to the myxozoan parasite Ceratomyxa shasta. Since the fish were dually-infected with C. shasta, we evaluated parasite DNA levels (parasitic load) in the kidney of sampled fish. We found that parasite load varied across time points but there was no significant effect of diet. However, parasite load did differ significantly between the mock and R. salmoninarum challenge groups with a trend towards longer persistence of C. shasta DNA in fish dually-infected with R. salmoninarum. Overall, results in Aim 1 indicated: 1) that the experimental diets impacted bacterial but not parasitic infection patterns, 2) that low thiamine levels may reduce the severity of R. salmoninarum infection, and 3) that fish infected with R. salmoninarum may be less able to clear a secondary infection with a parasite. The second study (Aim 2) focused on the role that temperature plays in the progression of BKD from the asymptomatic infected state to a diseased state. Lake Michigan Chinook salmon were infected with R. salmoninarum at a common intermediate water temperature and, at 2 weeks post-infection, were split into three temperature groups (cool, intermediate and warm). Fish held at the cool temperature (8°C) had significantly greater mortality following challenge, significantly higher levels of bacteria in the kidney, and shed significantly greater amounts of bacteria into the water relative to fish held at the intermediate (12°C) and warm (15°C) temperatures. Thus, our results support the hypothesis that, for BKD, warm temperature stress does not contribute to greater disease progression and increased bacterial shedding. Our laboratory results are consistent with field epidemiological observations that BKD mortality in the Great Lakes is commonly associated with declining water temperatures in the fall or when water temperatures begin to increase but are still cool after over-wintering. 

","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Purcell, M., and Winton, J.R., 2014, Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057082","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295755,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/Purcell_2014.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57248643e4b0b13d39159590","contributors":{"authors":[{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":519915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":519914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70132328,"text":"70132328 - 2014 - The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","interactions":[],"lastModifiedDate":"2020-12-31T17:16:32.769474","indexId":"70132328","displayToPublicDate":"2014-05-01T01:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","title":"The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","docAbstract":"

Using semi‐natural enclosures, this study investigated (1) whether adult sea lamprey Petromyzon marinus show avoidance of damage‐released conspecific cues, damage‐released heterospecific cues and predator cues and (2) whether this is a general response to injured heterospecific fishes or a specific response to injured P. marinus. Ten replicate groups of 10 adult P. marinus, separated by sex, were exposed to one of the following nine stimuli: deionized water (control), extracts prepared from adult P. marinus, decayed adult P. marinus (conspecific stimuli), sympatric white sucker Catostomus commersonii, Amazon sailfin catfish Pterygoplichthys pardalis (heterospecific stimuli), 2‐phenylethylamine (PEA HCl) solution, northern water snake Nerodia sipedon washing, human saliva (predator cues) and an adult P. marinus extract and human saliva combination (a damage‐released conspecific cue and a predator cue). Adult P. marinus showed a significant avoidance response to the adult P. marinus extract as well as to C. commersonii, human saliva, PEA and the adult P. marinus extract and human saliva combination. For mobile P. marinus, the N. sipedon washing induced behaviour consistent with predator inspection. Exposure to the P. pardalis extract did not induce a significant avoidance response during the stimulus release period. Mobile adult female P. marinus showed a stronger avoidance behaviour than mobile adult male P. marinus in response to the adult P. marinus extract and the adult P. marinus extract and human saliva combination. The findings support the continued investigation of natural damage‐released alarm cue and predator‐based repellents for the behavioural manipulation of P. marinus populations in the Laurentian Great Lakes.

","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12374","usgsCitation":"Imre, I., Di Rocco, R., Belanger, C., Brown, G., and Johnson, N.S., 2014, The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues: Journal of Fish Biology, v. 84, no. 5, p. 1490-1502, https://doi.org/10.1111/jfb.12374.","productDescription":"13 p.","startPage":"1490","endPage":"1502","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053453","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.12374","text":"Publisher Index Page"},{"id":295944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"545ded2de4b0ba8303f92ba2","contributors":{"authors":[{"text":"Imre, István","contributorId":126737,"corporation":false,"usgs":false,"family":"Imre","given":"István","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard","contributorId":126735,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belanger, Cowan","contributorId":126736,"corporation":false,"usgs":false,"family":"Belanger","given":"Cowan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Grant","contributorId":126738,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":522771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":522767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70138850,"text":"70138850 - 2014 - Home range and movements of American alligators (Alligator mississippiensis) in an estuary habitat","interactions":[],"lastModifiedDate":"2015-01-23T13:31:56","indexId":"70138850","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Home range and movements of American alligators (Alligator mississippiensis) in an estuary habitat","docAbstract":"

Background

\n

Understanding movement patterns of free-ranging top predators throughout heterogeneous habitat is important for gaining insight into trophic interactions. We tracked the movements of five adult American alligators to delineate their estuarine habitat use and determine drivers of their activity patterns in a seasonally-fluctuating environment. We also compared VHF- and satellite-tracks of one of the alligators to examine tradeoffs in data quality and quantity.

\n

Results

\n

All tracked alligators showed high site fidelity in the estuary, but estimated home range size and core-use areas were highly variable. Two alligators were relatively sedentary and remained in the upper stream zone. One alligator traveled to a transition zone between freshwater marsh and estuary habitat, but primarily remained in the upstream area. Two alligators traveled to the downstream zone into saline conditions and showed high salinity tolerance. Overall movement rates were highly influenced by salinity, temperature, and season. Both satellite and VHF radio telemetries resulted in similar home range, core-use area, and activity centers.

\n

Conclusions

\n

This study reveals consistent use of estuary habitat by American alligators. The alligators showed variations in their movement pattern and seasonal habitat, with movement attributable to environmental factors. Although satellite-derived locations were more dispersed compared to locations collected using VHF radio-tags, data collected from VHF tracking omitted some habitat used for a short period of time, indicating the effectiveness of satellite telemetry to continuously track animals for ecosystem-scale studies.

","language":"English","publisher":"BioMed Central","doi":"10.1186/2050-3385-2-8","usgsCitation":"Fujisaki, I., Hart, K.M., Mazzotti, F., Cherkiss, M.S., Sartain-Iverson, A.R., Jeffery, B.M., Beauchamp, J.S., and Denton, M.J., 2014, Home range and movements of American alligators (Alligator mississippiensis) in an estuary habitat: Animal Biotelemetry, v. 2, no. 8, 10 p., https://doi.org/10.1186/2050-3385-2-8.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052341","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473028,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2050-3385-2-8","text":"Publisher Index Page"},{"id":297485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.243896484375,\n 25.180087808990645\n ],\n [\n -81.243896484375,\n 25.547397663603196\n ],\n [\n -80.76599121093749,\n 25.547397663603196\n ],\n [\n -80.76599121093749,\n 25.180087808990645\n ],\n [\n -81.243896484375,\n 25.180087808990645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bc6e4b08de9379b34c4","contributors":{"authors":[{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":539069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeffery, Brian M.","contributorId":16511,"corporation":false,"usgs":false,"family":"Jeffery","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beauchamp, Jeffrey S.","contributorId":138880,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":12559,"text":"University of Florida, FLEC","active":true,"usgs":false}],"preferred":false,"id":539071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Denton, Mathew J. 0000-0002-1024-3722 mdenton@usgs.gov","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":4862,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","email":"mdenton@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70135985,"text":"70135985 - 2014 - Bouse Formation in the Bristol basin near Amboy, California, USA","interactions":[],"lastModifiedDate":"2014-12-19T14:41:01","indexId":"70135985","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Bouse Formation in the Bristol basin near Amboy, California, USA","docAbstract":"

Limestone beds underlain and overlain by alluvial fan conglomerate near Amboy, California, are very similar in many respects to parts of the Bouse Formation, suggesting that an arm of the Pliocene Bouse water body extended across a wide part of the southern Mojave Desert. The deposits are north of the town of Amboy at and below an elevation of 290 m, along the northern piedmont of the Bristol “dry” Lake basin. The Amboy outcrops contain the Lawlor Tuff (4.83 Ma), which is also found in an outcrop of the Bouse Formation in the Blythe basin near Buzzards Peak in the Chocolate Mountains, 180 km southeast of Amboy. Bouse exposures near Amboy are ∼3.4 m thick, white, distinctly bedded, with limestone and calcareous sandstone as well as stromatolite mounds; we interpret these as nearshore deposits. The Bouse at Amboy contains ostracodes, diatoms, and mollusks that indicate saline lake or estuarine environments with an admixture of fresh-water forms. Along with wading bird tracks and a spine from a marine fish, these fossils suggest that the deposits formed in saline waters near a fresh-water source such as a perennial stream. Beds of the outcrop dip southward and are 113 m above the surface of Bristol Playa, where similar age sediments are buried 270+ m deep, indicating significant faulting and vertical tectonics in this part of the Eastern California Shear Zone during the past 5 m.y. Confirmation of the Bouse Formation at Amboy strengthens previous assignments to the Bouse Formation for mudstones in driller logs at Danby “dry” Lake, California, and suggests that areally extensive arms of the Bouse water body were west of the Blythe basin. The Bristol basin arm of the lower Bouse basin probably was restricted from the main water body by narrow passages, but Bouse sediment there is similar to that in the Blythe basin, suggesting generally similar water chemistry and environmental conditions. Examining the degree to which Bouse deposits in the western arms differed from Bouse deposits in the Blythe basin offers an approach to test whether the southernmost Bouse water body was deposited in an estuarine or lacustrine setting.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00934.1","usgsCitation":"Miller, D., Reynolds, R.E., Bright, J.E., and Starratt, S.W., 2014, Bouse Formation in the Bristol basin near Amboy, California, USA: Geosphere, v. 10, no. 3, p. 462-475, https://doi.org/10.1130/GES00934.1.","productDescription":"14 p.","startPage":"462","endPage":"475","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044898","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00934.1","text":"Publisher Index Page"},{"id":296827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Amboy","otherGeospatial":"Bristol basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.79864501953124,\n 34.38537936672342\n ],\n [\n -115.79864501953124,\n 34.630382979232984\n ],\n [\n -115.44227600097658,\n 34.630382979232984\n ],\n [\n -115.44227600097658,\n 34.38537936672342\n ],\n [\n -115.79864501953124,\n 34.38537936672342\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-13","publicationStatus":"PW","scienceBaseUri":"54dd2b49e4b08de9379b32f5","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":537021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Robert E.","contributorId":131037,"corporation":false,"usgs":false,"family":"Reynolds","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordan E.","contributorId":131036,"corporation":false,"usgs":false,"family":"Bright","given":"Jordan","email":"","middleInitial":"E.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133273,"text":"70133273 - 2014 - Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","interactions":[],"lastModifiedDate":"2020-12-21T17:29:18.638532","indexId":"70133273","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","docAbstract":"

Watershed mass-balance methods are valuable tools for demonstrating impacts to water quality from atmospheric deposition and chemical weathering. Owen Bricker, a pioneer of the mass-balance method, began applying mass-balance modeling to small watersheds in the late 1960s and dedicated his career to expanding the literature and knowledge of complex watershed processes. We evaluated long-term trends in surface-water chemistry in the Loch Vale watershed, a 660-ha. alpine/subalpine catchment located in Rocky Mountain National Park, CO, USA. Many changes in surface-water chemistry correlated with multiple drivers, including summer or monthly temperature, snow water equivalent, and the runoff-to-precipitation ratio. Atmospheric deposition was not a significant causal agent for surface-water chemistry trends. We observed statistically significant increases in both concentrations and fluxes of weathering products including cations, SiO2, SO4 2−, and ANC, and in inorganic N, with inorganic N being primarily of atmospheric origin. These changes are evident in the individual months June, July, and August, and also in the combined June, July, and August summer season. Increasingly warm summer temperatures are melting what was once permanent ice and this may release elements entrained in the ice, stimulate chemical weathering with enhanced moisture availability, and stimulate microbial nitrification. Weathering rates may also be enhanced by sustained water availability in high snowpack years. Rapid change in the flux of weathering products and inorganic N is the direct and indirect result of a changing climate from warming temperatures and thawing cryosphere.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9199-2","usgsCitation":"Baron, J., and Heath, J., 2014, Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 167-181, https://doi.org/10.1007/s10498-013-9199-2.","productDescription":"15 p.","startPage":"167","endPage":"181","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046111","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10498-013-9199-2","text":"Publisher Index Page"},{"id":296065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Loch Vale Watershed, Rock Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.1444091796875,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 39.977120098439634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5465d62fe4b04d4b7dbd6584","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":822,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":524986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heath, Jared","contributorId":127392,"corporation":false,"usgs":false,"family":"Heath","given":"Jared","email":"","affiliations":[{"id":6935,"text":"Natural Resources Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":524987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70160092,"text":"70160092 - 2014 - Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure","interactions":[],"lastModifiedDate":"2015-12-11T15:34:47","indexId":"70160092","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3835,"text":"Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure","docAbstract":"

Aquatic food webs that incorporate multiple energy channels (e.g. nearshore benthic or pelagic) with varying productivity and turnover rates convey stability to biological communities by providing multiple independent energy sources. Within the Lake Michigan food web, invasive dreissenid mussels have caused rapid changes to food web structure and potentially altered the channels through which consumers acquire energy. We used stable C and N isotopes to determine how Lake Michigan food web structure has changed in the past decade, coincident with the expansion of dreissenid mussels, decreased pelagic phytoplankton production and increased nearshore benthic algal production. Fish and invertebrate samples collected from sites around Lake Michigan were analyzed to determine taxa-specific 13C:12C (delta 13C) and 15N:14N (delta 15N) ratios. Sampling took place during two distinct periods, 2002-2003 and 2010-2012, that spanned the period of dreissenid expansion, and included nearshore, pelagic and profundal fish and invertebrate taxa. Magnitude and direction of the 13C shift indicated significantly greater reliance upon nearshore benthic energy sources among nearly all fish taxa as well as profundal invertebrates. Although the mechanisms underlying this 13C shift likely varied among species, possible causes include the transport of benthic algal production to offshore waters and an increased reliance on nearshore prey items. Delta 15N shifts were more variable and of smaller magnitude across taxa although declines in delta 15N among some pelagic fishes may indicate a shift to alternative prey resources. Lake Michigan fishes and invertebrates appear to have responded to dreissenid induced changes in nutrient and energy pathways by switching from pelagic to alternative nearshore energy subsidies. Although large shifts in energy allocation (i.e. pelagic to nearshore benthic) resulting from invasive species appear to have affected total production at upper trophic levels, changes in trophic structure and utilization of novel energy pathways may help to stabilize food webs following species invasions.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0329.1","collaboration":"University of Wisconsin-Milwaukee; Illinois Natural History Survey, Purdue University","usgsCitation":"Turschak, B.A., Bunnell, D., Czesny, S.J., Hook, T.O., Janssen, J., Warner, D.M., and Bootsma, H.A., 2014, Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure: Ecology, Evolution, and Systematics, v. 95, no. 5, p. 1243-1252, https://doi.org/10.1890/13-0329.1.","productDescription":"10 p.","startPage":"1243","endPage":"1252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049392","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0329.1","text":"Publisher Index Page"},{"id":312197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312145,"type":{"id":15,"text":"Index Page"},"url":"https://www.esajournals.org/doi/abs/10.1890/13-0329.1"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.76290893554688,\n 42.794392945304025\n ],\n [\n -87.57339477539062,\n 42.80043894556553\n ],\n [\n -87.57202148437499,\n 42.6440611466169\n ],\n [\n -87.80548095703125,\n 42.630927675654135\n ],\n [\n -87.7642822265625,\n 42.73793512467152\n ],\n [\n -87.75466918945312,\n 42.78532283730215\n ],\n [\n -87.76290893554688,\n 42.794392945304025\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.78213500976562,\n 42.47716144453506\n ],\n [\n -87.60498046875,\n 42.48323834594139\n ],\n [\n -87.59811401367188,\n 42.371734722510496\n ],\n [\n -87.79312133789062,\n 42.357529125471395\n ],\n [\n -87.80136108398438,\n 42.397093870535514\n ],\n [\n -87.7972412109375,\n 42.47310984904908\n ],\n [\n -87.78213500976562,\n 42.47716144453506\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.81028747558594,\n 42.235635122140614\n ],\n [\n -87.70591735839844,\n 42.26460631064456\n ],\n [\n -87.66265869140625,\n 42.268671377508\n ],\n [\n -87.62626647949217,\n 42.25850821886463\n ],\n [\n -87.58644104003906,\n 42.167475010395336\n ],\n [\n -87.60566711425781,\n 42.15271426381815\n ],\n [\n -87.74093627929688,\n 42.12725661490423\n ],\n [\n -87.81028747558594,\n 42.235635122140614\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.53974914550781,\n 41.75543440328294\n ],\n [\n -87.52601623535156,\n 41.74211494855704\n ],\n [\n -87.52464294433594,\n 41.7200805552871\n ],\n [\n -87.51983642578125,\n 41.70777900286713\n ],\n [\n -87.49099731445312,\n 41.68983501879767\n ],\n [\n -87.47795104980469,\n 41.725205507257044\n ],\n [\n -87.46627807617188,\n 41.77336007442078\n ],\n [\n -87.46833801269531,\n 41.79025683432948\n ],\n [\n -87.50816345214844,\n 41.78718502733698\n ],\n [\n -87.53768920898438,\n 41.78308905571848\n ],\n [\n -87.53974914550781,\n 41.75543440328294\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.37176513671874,\n 43.265206318396025\n ],\n [\n -86.6436767578125,\n 43.17914423586491\n ],\n [\n -86.52557373046875,\n 43.052833917627936\n ],\n [\n -86.45416259765625,\n 43.01268088642034\n ],\n [\n -86.25640869140625,\n 43.062868070571454\n ],\n [\n -86.27014160156249,\n 43.11902898139767\n ],\n [\n -86.3580322265625,\n 43.249203966977845\n ],\n [\n -86.37176513671874,\n 43.265206318396025\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.21177673339844,\n 42.770707089907546\n ],\n [\n -86.34635925292969,\n 42.769698980164854\n ],\n [\n -86.37794494628906,\n 42.740960955168475\n ],\n [\n -86.37451171875,\n 42.706659563510385\n ],\n [\n -86.36627197265625,\n 42.67536823702857\n ],\n [\n -86.34292602539062,\n 42.66224137632745\n ],\n [\n -86.22344970703124,\n 42.65466692646942\n ],\n [\n -86.21177673339844,\n 42.6814258531182\n ],\n [\n -86.20834350585938,\n 42.757600383443204\n ],\n [\n -86.20834350585938,\n 42.76516228327467\n ],\n [\n -86.21177673339844,\n 42.770707089907546\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.7757568359375,\n 44.99394031891059\n ],\n [\n -85.91033935546875,\n 45.06576154770312\n ],\n [\n -86.187744140625,\n 44.97062759301016\n ],\n [\n -86.12457275390625,\n 44.813018740612776\n ],\n [\n -86.06689453125,\n 44.80327564555043\n ],\n [\n -86.0723876953125,\n 44.91035917458495\n ],\n [\n -86.01470947265625,\n 44.902577996288876\n ],\n [\n -85.97900390625,\n 44.90646871709883\n ],\n [\n -85.93505859374999,\n 44.96674121705534\n ],\n [\n -85.88287353515625,\n 44.958967675170506\n ],\n [\n -85.84442138671875,\n 44.94536144236941\n ],\n [\n -85.77850341796875,\n 44.97451370563986\n ],\n [\n -85.7757568359375,\n 44.99394031891059\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.2591552734375,\n 44.678418678188606\n ],\n [\n -86.44729614257812,\n 44.700873786431515\n ],\n [\n -86.43356323242186,\n 44.62077663521467\n ],\n [\n -86.41433715820312,\n 44.56503415498704\n ],\n [\n -86.38824462890625,\n 44.53959000445632\n ],\n [\n -86.29074096679688,\n 44.54839885389387\n ],\n [\n -86.21795654296875,\n 44.55329208318493\n ],\n [\n -86.23992919921875,\n 44.61784415342067\n ],\n [\n -86.26052856445312,\n 44.666699513609174\n ],\n [\n -86.2591552734375,\n 44.678418678188606\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.2698974609375,\n 44.82860426955568\n ],\n [\n -87.14080810546875,\n 44.78378451819761\n ],\n [\n -87.12570190429688,\n 44.751609766121646\n ],\n [\n -87.12844848632812,\n 44.724295922018655\n ],\n [\n -87.16278076171875,\n 44.69501677140782\n ],\n [\n -87.21359252929686,\n 44.67158278684375\n ],\n [\n -87.35092163085938,\n 44.71258603912906\n ],\n [\n -87.33856201171874,\n 44.73990541282037\n ],\n [\n -87.32070922851562,\n 44.761361583580005\n ],\n [\n -87.3193359375,\n 44.788657917188104\n ],\n [\n -87.30422973632812,\n 44.80425002911523\n ],\n [\n -87.27676391601562,\n 44.822760189927365\n ],\n [\n -87.2698974609375,\n 44.82860426955568\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566c01ece4b09cfe53ca5af6","contributors":{"authors":[{"text":"Turschak, Benjamin A.","contributorId":150497,"corporation":false,"usgs":false,"family":"Turschak","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":true,"id":581860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czesny, Sergiusz J.","contributorId":138598,"corporation":false,"usgs":false,"family":"Czesny","given":"Sergiusz","email":"","middleInitial":"J.","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":581861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hook, Tomas O.","contributorId":108404,"corporation":false,"usgs":true,"family":"Hook","given":"Tomas","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":581862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janssen, John","contributorId":52543,"corporation":false,"usgs":true,"family":"Janssen","given":"John","affiliations":[],"preferred":false,"id":581863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":581859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bootsma, Harvey A.","contributorId":150498,"corporation":false,"usgs":false,"family":"Bootsma","given":"Harvey","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":581864,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193445,"text":"70193445 - 2014 - Reflections on a vision for integrated research and monitoring after 15 years","interactions":[],"lastModifiedDate":"2017-11-10T12:18:02","indexId":"70193445","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reflections on a vision for integrated research and monitoring after 15 years","docAbstract":"In May of 1998, Owen Bricker and his co-author Michael Ruggiero introduced a conceptual design for integrating the Nation’s environmental research and monitoring programs. The Framework for Integrated Monitoring and Related Research was an organizing strategy for relating data collected by various programs, at multiple spatial and temporal scales, and by multiple science disciplines to solve complex ecological issues that individual research or monitoring programs were not designed to address. The concept nested existing intensive monitoring and research stations within national and regional surveys, remotely sensed data, and inventories to produce a collaborative program for multi-scale, multi-network integrated environmental monitoring and research. Analyses of gaps in data needed for specific issues would drive decisions on network improvements or enhancements. Data contributions to the Framework from existing networks would help indicate critical research and monitoring programs to protect during budget reductions. Significant progress has been made since 1998 on refining the Framework strategy. Methods and models for projecting scientific information across spatial and temporal scales have been improved, and a few regional pilots of multi-scale data-integration concepts have been attempted. The links between science and decision-making are also slowly improving and being incorporated into science practice. Experiments with the Framework strategy since 1998 have revealed the foundational elements essential to its successful implementation, such as defining core measurements, establishing standards of data collection and management, integrating research and long-term monitoring, and describing baseline ecological conditions. They have also shown us the remaining challenges to establishing the Framework concept: protecting and enhancing critical long-term monitoring, filling gaps in measurement methods, improving science for decision support, and integrating the disparate integrated science efforts now underway. In the 15 years since the Bricker and Ruggiero (Ecol Appl 8(2):326–329, 1998) paper challenged us with a new paradigm for bringing sound and comprehensive science to environmental decisions, the scientific community can take pride in the progress that has been made, while also taking stock of the challenges ahead for completing the Framework vision.","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9222-7","usgsCitation":"Murdoch, P.S., McHale, M., and Baron, J., 2014, Reflections on a vision for integrated research and monitoring after 15 years: Aquatic Geochemistry, v. 20, no. 2-3, p. 363-380, https://doi.org/10.1007/s10498-013-9222-7.","productDescription":"18 p.","startPage":"363","endPage":"380","ipdsId":"IP-045494","costCenters":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":348584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2-3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"5a06c8d5e4b09af898c86176","contributors":{"authors":[{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":719078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":719077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":719076,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196968,"text":"70196968 - 2014 - Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos","interactions":[],"lastModifiedDate":"2018-09-04T16:37:48","indexId":"70196968","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards (Anas platyrhynchos) ","title":"Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos","docAbstract":"

Recent repeated isolation of H14 hemagglutinin subtype influenza A viruses (IAVs) in the New World waterfowl provides evidence to suggest that host and/or geographic ranges for viruses of this subtype may be expanding. In this study, we used genomic analyses to gain inference on the origin and evolution of H14 viruses in New World waterfowl and conducted an experimental challenge study in mallards (Anas platyrhynchos) to evaluate pathogenicity, viral replication, and transmissibility of a representative viral strain in a natural host species. Genomic characterization of H14 subtype IAVs isolated from New World waterfowl, including three isolates sequenced specifically for this study, revealed high nucleotide identity among individual gene segments (e.g. ≥95% shared identity among H14 HA gene segments). In contrast, lower shared identity was observed among internal gene segments. Furthermore, multiple neuraminidase subtypes were observed for H14 IAVs isolated in the New World. Gene segments of H14 viruses isolated after 2010 shared ancestral genetic lineages with IAVs isolated from wild birds throughout North America. Thus, genomic characterization provided evidence for viral evolution in New World waterfowl through genetic drift and genetic shift since purported introduction from Eurasia. In the challenge study, no clinical disease or lesions were observed among mallards experimentally inoculated with A/blue-winged teal/Texas/AI13-1028/2013(H14N5) or exposed via contact with infected birds. Titers of viral shedding for mallards challenged with the H14N5 IAV were highest at two days post-inoculation (DPI); however shedding was detected up to nine DPI using cloacal swabs. The distribution of viral antigen among mallards infected with H14N5 IAV was largely restricted to enterocytes lining the villi in the lower intestinal tract and in the epithelium of the bursa of Fabricius. Characterization of the infectivity of A/blue-winged teal/Texas/AI13-1028/2013(H14N5) in mallards provides support for similarities in viral replication and shedding as compared to previously described waterfowl-adapted, low pathogenic IAV strains in ducks.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0095620","usgsCitation":"Ramey, A.M., Poulson, R., Gonzalez-Reiche, A.S., Perez, D.R., Stalknecht, D.E., and Brown, J.D., 2014, Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos: PLoS ONE, v. 9, no. 5, e95620, 10 p., https://doi.org/10.1371/journal.pone.0095620.","productDescription":" e95620, 10 p.","ipdsId":"IP-054397","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473021,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095620","text":"Publisher Index Page"},{"id":354116,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"5afeedd6e4b0da30c1bfc730","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":735168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":735169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez-Reiche, Ana S.","contributorId":204838,"corporation":false,"usgs":false,"family":"Gonzalez-Reiche","given":"Ana","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez, Daniel R.","contributorId":58208,"corporation":false,"usgs":true,"family":"Perez","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stalknecht, David E.","contributorId":150466,"corporation":false,"usgs":false,"family":"Stalknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Justin D.","contributorId":87838,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":735173,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193621,"text":"70193621 - 2014 - Surface‐wave Green’s tensors in the near field","interactions":[],"lastModifiedDate":"2019-03-06T08:22:27","indexId":"70193621","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Surface‐wave Green’s tensors in the near field","docAbstract":"

We demonstrate the connection between theoretical expressions for the correlation of ambient noise Rayleigh and Love waves and the exact surface‐wave Green’s tensors for a point force. The surface‐wave Green’s tensors are well known in the far‐field limit. On the other hand, the imaginary part of the exact Green’s tensors, including near‐field effects, arises in correlation techniques such as the spatial autocorrelation (SPAC) method. Using the imaginary part of the exact Green’s tensors from the SPAC method, we find the associated real part using the Kramers–Kronig relations. The application of the Kramers–Kronig relations is not straightforward, however, because the causality properties of the different tensor components vary. In addition to the Green’s tensors for a point force, we also derive expressions for a general point moment tensor source.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130113","usgsCitation":"Haney, M.M., and Nakahara, H., 2014, Surface‐wave Green’s tensors in the near field: Bulletin of the Seismological Society of America, v. 104, no. 3, p. 1578-1586, https://doi.org/10.1785/0120130113.","productDescription":"9 p.","startPage":"1578","endPage":"1586","ipdsId":"IP-053024","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361781,"rank":2,"type":{"id":12,"text":"Errata"},"url":"https://doi.org/10.1785/0120150349"}],"volume":"104","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-08","publicationStatus":"PW","scienceBaseUri":"59fc2eaae4b0531197b27fa7","contributors":{"authors":[{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nakahara, Hisashi","contributorId":27332,"corporation":false,"usgs":true,"family":"Nakahara","given":"Hisashi","email":"","affiliations":[],"preferred":false,"id":719656,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148110,"text":"70148110 - 2014 - Interacting effects of discharge and channel morphology on transport of semibuoyant fish eggs in large, altered river systems","interactions":[],"lastModifiedDate":"2015-06-03T11:11:16","indexId":"70148110","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","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":"Interacting effects of discharge and channel morphology on transport of semibuoyant fish eggs in large, altered river systems","docAbstract":"

Habitat fragmentation and flow regulation are significant factors related to the decline and extinction of freshwater biota. Pelagic-broadcast spawning cyprinids require moving water and some length of unfragmented stream to complete their life cycle. However, it is unknown how discharge and habitat features interact at multiple spatial scales to alter the transport of semi-buoyant fish eggs. Our objective was to assess the relationship between downstream drift of semi-buoyant egg surrogates (gellan beads) and discharge and habitat complexity. We quantified transport time of a known quantity of beads using 2–3 sampling devices at each of seven locations on the North Canadian and Canadian rivers. Transport time was assessed based on median capture time (time at which 50% of beads were captured) and sampling period (time period when 2.5% and 97.5% of beads were captured). Habitat complexity was assessed by calculating width:depth ratios at each site, and several habitat metrics determined using analyses of aerial photographs. Median time of egg capture was negatively correlated to site discharge. The temporal extent of the sampling period at each site was negatively correlated to both site discharge and habitat-patch dispersion. Our results highlight the role of discharge in driving transport times, but also indicate that higher dispersion of habitat patches relates to increased retention of beads within the river. These results could be used to target restoration activities or prioritize water use to create and maintain habitat complexity within large, fragmented river systems.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0096599","usgsCitation":"Worthington, T.A., Brewer, S.K., Farless, N., Grabowski, T.B., and Gregory, M.S., 2014, Interacting effects of discharge and channel morphology on transport of semibuoyant fish eggs in large, altered river systems: PLoS ONE, v. 9, no. 5, e96599: 9 p., https://doi.org/10.1371/journal.pone.0096599.","productDescription":"e96599: 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050833","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0096599","text":"Publisher Index Page"},{"id":301017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River, North Canadian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.964599609375,\n 34.994003757575776\n ],\n [\n -99.964599609375,\n 36.712467243386264\n ],\n [\n -95.965576171875,\n 36.712467243386264\n ],\n [\n -95.965576171875,\n 34.994003757575776\n ],\n [\n -99.964599609375,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-06","publicationStatus":"PW","scienceBaseUri":"5570253ce4b0d9246a9fd1a7","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farless, Nicole","contributorId":141040,"corporation":false,"usgs":false,"family":"Farless","given":"Nicole","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gregory, Mark S.","contributorId":141058,"corporation":false,"usgs":false,"family":"Gregory","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":548152,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144616,"text":"70144616 - 2014 - El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants","interactions":[],"lastModifiedDate":"2018-01-04T12:50:48","indexId":"70144616","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","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":"El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants","docAbstract":"

Predicting how migratory animals respond to changing climatic conditions requires knowledge of how climatic events affect each phase of the annual cycle and how those effects carry-over to subsequent phases. We utilized a 17-year migration dataset to examine how El Niño-Southern Oscillation climatic events in geographically different regions of the Western hemisphere carry-over to impact the stopover biology of several intercontinental migratory bird species. We found that migratory birds that over-wintered in South America experienced significantly drier environments during El Niño years, as reflected by reduced Normalized Difference Vegetation Index (NDVI) values, and arrived at stopover sites in reduced energetic condition during spring migration. During El Niño years migrants were also more likely to stopover immediately along the northern Gulf coast of the southeastern U.S. after crossing the Gulf of Mexico in small suboptimal forest patches where food resources are lower and migrant density often greater than larger more contiguous forests further inland. In contrast, NDVI values did not differ between El Niño and La Niña years in Caribbean-Central America, and we found no difference in energetic condition or use of coastal habitats for migrants en route from Caribbean-Central America wintering areas. Birds over-wintering in both regions had consistent median arrival dates along the northern Gulf coast, suggesting that there is a strong drive for birds to maintain their time program regardless of their overall condition. We provide strong evidence that not only is the stopover biology of migratory landbirds influenced by events during the previous phase of their life-cycle, but where migratory birds over-winter determines how vulnerable they are to global climatic cycles. Increased frequency and intensity of ENSO events over the coming decades, as predicted by climatic models, may disproportionately influence long-distance migrants over-wintering in South America.

","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0095383","usgsCitation":"Paxton, K.L., Cohen, E.B., Paxton, E., Nemeth, Z., and Moore, F.R., 2014, El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants: PLoS ONE, v. 9, no. 5, e95383; 11 p., https://doi.org/10.1371/journal.pone.0095383.","productDescription":"e95383; 11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056768","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095383","text":"Publisher Index Page"},{"id":299192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-02","publicationStatus":"PW","scienceBaseUri":"551bc52ae4b0323842783a43","contributors":{"authors":[{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":543753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":543754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":543752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nemeth, Zoltan","contributorId":140015,"corporation":false,"usgs":false,"family":"Nemeth","given":"Zoltan","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":543756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":543755,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154974,"text":"70154974 - 2014 - Influence of whitebark pine decline on fall habitat use and movements of grizzly bears in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2016-04-08T12:24:16","indexId":"70154974","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Influence of whitebark pine decline on fall habitat use and movements of grizzly bears in the Greater Yellowstone Ecosystem","docAbstract":"

When abundant, seeds of the high-elevation whitebark pine (WBP; Pinus albicaulis) are an important fall food for grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem. Rates of bear mortality and bear/human conflicts have been inversely associated with WBP productivity. Recently, mountain pine beetles (Dendroctonus ponderosae) have killed many cone-producing WBP trees. We used fall (15 August–30 September) Global Positioning System locations from 89 bear years to investigate temporal changes in habitat use and movements during 2000–2011. We calculated Manly–Chesson (MC) indices for selectivity of WBP habitat and secure habitat (≥500 m from roads and human developments), determined dates of WBP use, and documented net daily movement distances and activity radii. To evaluate temporal trends, we used regression, model selection, and candidate model sets consisting of annual WBP production, sex, and year. One-third of sampled grizzly bears had fall ranges with little or no mapped WBP habitat. Most other bears (72%) had a MC index above 0.5, indicating selection for WBP habitats. From 2000 to 2011, mean MC index decreased and median date of WBP use shifted about 1 week later. We detected no trends in movement indices over time. Outside of national parks, there was no correlation between the MC indices for WBP habitat and secure habitat, and most bears (78%) selected for secure habitat. Nonetheless, mean MC index for secure habitat decreased over the study period during years of good WBP productivity. The wide diet breadth and foraging plasticity of grizzly bears likely allowed them to adjust to declining WBP. Bears reduced use of WBP stands without increasing movement rates, suggesting they obtained alternative fall foods within their local surroundings. However, the reduction in mortality risk historically associated with use of secure, high-elevation WBP habitat may be diminishing for bears residing in multiple-use areas.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1082","usgsCitation":"Costello, C., van Manen, F.T., Haroldson, M.A., Ebinger, M.R., Cain, S.L., Gunther, K.A., and Bjornlie, D., 2014, Influence of whitebark pine decline on fall habitat use and movements of grizzly bears in the Greater Yellowstone Ecosystem: Ecology and Evolution, v. 4, no. 10, p. 2004-2018, https://doi.org/10.1002/ece3.1082.","productDescription":"15 p.","startPage":"2004","endPage":"2018","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052303","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1082","text":"Publisher Index Page"},{"id":305905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.6,\n 43.26\n ],\n [\n -111.6,\n 45.69\n ],\n [\n -109.35,\n 45.69\n ],\n [\n -109.35,\n 43.26\n ],\n [\n -111.6,\n 43.26\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-22","publicationStatus":"PW","scienceBaseUri":"55b0beade4b09a3b01b53097","contributors":{"authors":[{"text":"Costello, Cecily M.","contributorId":145510,"corporation":false,"usgs":false,"family":"Costello","given":"Cecily M.","affiliations":[{"id":5117,"text":"University of Montana, College of Forestry and Conservation, University Hall, Room 309, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":564448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cain, Steven L.","contributorId":145511,"corporation":false,"usgs":false,"family":"Cain","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":16139,"text":"National Park Service, Grand Teton National Park, Moose, Wyoming 83012, USA","active":true,"usgs":false}],"preferred":false,"id":564451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":564452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":564453,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70154962,"text":"70154962 - 2014 - Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat in southwest Louisiana, USA","interactions":[],"lastModifiedDate":"2022-11-14T17:58:10.49947","indexId":"70154962","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat in southwest Louisiana, USA","title":"Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat in southwest Louisiana, USA","docAbstract":"

Foraging habitat conditions (i.e., water depth, prey biomass, digestible energy density) can be a significant predictor of foraging habitat selection by wading birds. Potential foraging habitats of Whooping Cranes (Grus americana) using marshes include ponds and emergent marsh, but the potential prey and energy availability in these habitat types have rarely been studied. In this study, we estimated daily digestible energy density for Whooping Cranes in different marsh and microhabitat types (i.e., pond, flooded emergent marsh). Also, indicator metrics of foraging habitat suitability for Whooping Cranes were developed based on seasonal water depth, prey biomass, and digestible energy density. Seasonal water depth (cm), prey biomass (g wet weight m-2), and digestible energy density (kcal g-1m-2) ranged from 0.0 to 50.2 ± 2.8, 0.0 to 44.8 ± 22.3, and 0.0 to 31.0 ± 15.3, respectively. With the exception of freshwater emergent marsh in summer, all available habitats were capable of supporting one Whooping Crane per 0.1 ha per day. All habitat types in the marshes had relatively higher suitability in spring and summer than in fall and winter. Our study indicates that based on general energy availability, freshwater marshes in the region can support Whooping Cranes in a relatively small area, particularly in spring and summer. In actuality, the spatial density of ponds, the flood depth of the emergent marsh, and the habitat conditions (e.g., vegetation density) between adjacent suitable habitats will constrain suitable habitat and Whooping Crane numbers.

","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.037.0304","usgsCitation":"Kang, S., and King, S.L., 2014, Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat in southwest Louisiana, USA: Waterbirds, v. 37, no. 3, p. 254-263, https://doi.org/10.1675/063.037.0304.","productDescription":"10 p.","startPage":"254","endPage":"263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042070","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Southwest Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.05313206156985,\n 29.534589496091698\n ],\n [\n -92.07833559620173,\n 30.179403281291954\n ],\n [\n -93.64095474339344,\n 30.22659786357704\n ],\n [\n -93.7585712383432,\n 29.709865498636688\n ],\n [\n -92.3114682915488,\n 29.50534721227139\n ],\n [\n -92.05313206156985,\n 29.534589496091698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305bae4b0518e35468d28","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":568300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154973,"text":"70154973 - 2014 - Re-evaluation of Yellowstone grizzly bear population dynamics not supported by empirical data: response to Doak & Cutler","interactions":[],"lastModifiedDate":"2015-07-22T11:12:21","indexId":"70154973","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluation of Yellowstone grizzly bear population dynamics not supported by empirical data: response to Doak & Cutler","docAbstract":"

Doak and Cutler critiqued methods used by the Interagency Grizzly Bear Study Team (IGBST) to estimate grizzly bear population size and trend in the Greater Yellowstone Ecosystem. Here, we focus on the premise, implementation, and interpretation of simulations they used to support their arguments. They argued that population increases documented by IGBST based on females with cubs-of-the-year were an artifact of increased search effort. However, we demonstrate their simulations were neither reflective of the true observation process nor did their results provide statistical support for their conclusion. They further argued that survival and reproductive senescence should be incorporated into population projections, but we demonstrate their choice of extreme mortality risk beyond age 20 and incompatible baseline fecundity led to erroneous conclusions. The conclusions of Doak and Cutler are unsubstantiated when placed within the context of a thorough understanding of the data, study system, and previous research findings and publications.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.12095","usgsCitation":"van Manen, F.T., Ebinger, M.R., Haroldson, M.A., Harris, R., Higgs, M., Cherry, S., White, G.C., and Schwartz, C.C., 2014, Re-evaluation of Yellowstone grizzly bear population dynamics not supported by empirical data: response to Doak & Cutler: Conservation Letters, v. 7, no. 3, p. 323-331, https://doi.org/10.1111/conl.12095.","productDescription":"9 p.","startPage":"323","endPage":"331","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051618","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12095","text":"Publisher Index Page"},{"id":305891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-24","publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b530a0","contributors":{"authors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Richard B.","contributorId":55138,"corporation":false,"usgs":true,"family":"Harris","given":"Richard B.","affiliations":[],"preferred":false,"id":564442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higgs, Megan D.","contributorId":14718,"corporation":false,"usgs":true,"family":"Higgs","given":"Megan D.","affiliations":[],"preferred":false,"id":564443,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherry, Steve","contributorId":90450,"corporation":false,"usgs":true,"family":"Cherry","given":"Steve","email":"","affiliations":[],"preferred":false,"id":564444,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Gary C.","contributorId":66831,"corporation":false,"usgs":false,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":564445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":564446,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70145459,"text":"70145459 - 2014 - Model behavior and sensitivity in an application of the cohesive bed component of the community sediment transport modeling system for the York River estuary, VA, USA","interactions":[],"lastModifiedDate":"2015-04-07T09:11:24","indexId":"70145459","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Model behavior and sensitivity in an application of the cohesive bed component of the community sediment transport modeling system for the York River estuary, VA, USA","docAbstract":"

The Community Sediment Transport Modeling System (CSTMS) cohesive bed sub-model that accounts for erosion, deposition, consolidation, and swelling was implemented in a three-dimensional domain to represent the York River estuary, Virginia. The objectives of this paper are to (1) describe the application of the three-dimensional hydrodynamic York Cohesive Bed Model, (2) compare calculations to observations, and (3) investigate sensitivities of the cohesive bed sub-model to user-defined parameters. Model results for summer 2007 showed good agreement with tidal-phase averaged estimates of sediment concentration, bed stress, and current velocity derived from Acoustic Doppler Velocimeter (ADV) field measurements. An important step in implementing the cohesive bed model was specification of both the initial and equilibrium critical shear stress profiles, in addition to choosing other parameters like the consolidation and swelling timescales. This model promises to be a useful tool for investigating the fundamental controls on bed erodibility and settling velocity in the York River, a classical muddy estuary, provided that appropriate data exists to inform the choice of model parameters.

","language":"English","publisher":"MDPI","doi":"10.3390/jmse2020413","usgsCitation":"Fall, K.A., Harris, C.K., Friedrichs, C.T., Rinehimer, J.P., and Sherwood, C.R., 2014, Model behavior and sensitivity in an application of the cohesive bed component of the community sediment transport modeling system for the York River estuary, VA, USA: Journal of Marine Science and Engineering, v. 2, no. 2, p. 413-436, https://doi.org/10.3390/jmse2020413.","productDescription":"24 p.","startPage":"413","endPage":"436","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055223","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse2020413","text":"Publisher Index Page"},{"id":299434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"York River estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.20367431640625,\n 36.758690821098426\n ],\n [\n -77.20367431640625,\n 37.572882155556194\n ],\n [\n -75.87432861328125,\n 37.572882155556194\n ],\n [\n -75.87432861328125,\n 36.758690821098426\n ],\n [\n -77.20367431640625,\n 36.758690821098426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-14","publicationStatus":"PW","scienceBaseUri":"5524ffaee4b027f0aee3d477","contributors":{"authors":[{"text":"Fall, Kelsey A.","contributorId":140080,"corporation":false,"usgs":false,"family":"Fall","given":"Kelsey","email":"","middleInitial":"A.","affiliations":[{"id":13380,"text":"Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA 23062","active":true,"usgs":false}],"preferred":false,"id":544181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Courtney K.","contributorId":19620,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","email":"","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":544182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrichs, Carl T.","contributorId":43989,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Carl","email":"","middleInitial":"T.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":544183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rinehimer, J. Paul","contributorId":140081,"corporation":false,"usgs":false,"family":"Rinehimer","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":13381,"text":"Center for Coastal Margin Observation & Prediction, Oregon Health and Sciences University, Portland, OR, 97239","active":true,"usgs":false}],"preferred":false,"id":544184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544180,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144457,"text":"70144457 - 2014 - Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","interactions":[],"lastModifiedDate":"2016-11-30T14:40:23","indexId":"70144457","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","docAbstract":"

Many previous investigations of mean streamwater transit times (MTT) have been limited by an inability to quantify the MTT dynamics. Here, we draw on (1) a linear relation (r 2 = 0.97) between groundwater 3H/3He ages and dissolved silica (Si) concentrations, combined with (2) predicted streamwater Si concentrations from a multiple-regression relation (R 2 = 0.87) to estimate MTT at 5-min intervals for a 23-year time series of streamflow [water year (WY) 1986 through 2008] at the Panola Mountain Research Watershed, Georgia. The time-based average MTT derived from the 5-min data was ~8.4 ± 2.9 years and the volume-weighted (VW) MTT was ~4.7 years for the study period, reflecting the importance of younger runoff water during high flow. The 5-min MTTs are normally distributed and ranged from 0 to 15 years. Monthly VW MTTs averaged 7.0 ± 3.3 years and ranged from 4 to 6 years during winter and 8–10 years during summer. The annual VW MTTs averaged 5.6 ± 2.0 years and ranged from ~5 years during wet years (2003 and 2005) to >10 years during dry years (2002 and 2008). Stormflows are composed of much younger water than baseflows, and although stormflow only occurs ~17 % of the time, this runoff fraction contributed 39 % of the runoff during the 23-year study period. Combining the 23-year VW MTT (including stormflow) with the annual average baseflow for the period (~212 mm) indicates that active groundwater storage is ~1,000 mm. However, the groundwater storage ranged from 1,040 to 1,950 mm using WY baseflow and WY VW MTT. The approach described herein may be applicable to other watersheds underlain by granitoid bedrock, where weathering is the dominant control on Si concentrations in soils, groundwater, and streamwater.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9207-6","usgsCitation":"Peters, N.E., Burns, D.A., and Aulenbach, B.T., 2014, Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 183-202, https://doi.org/10.1007/s10498-013-9207-6.","productDescription":"20 p.","startPage":"183","endPage":"202","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049194","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":299226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Panola Mountain Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.19424057006836,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.60804305794581\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-16","publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a47","contributors":{"authors":[{"text":"Peters, Norman E. nepeters@usgs.gov","contributorId":1324,"corporation":false,"usgs":true,"family":"Peters","given":"Norman","email":"nepeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","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":543631,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186145,"text":"70186145 - 2014 - Progress in data collection and dissemination in water resources – 1974-2014","interactions":[],"lastModifiedDate":"2017-03-30T11:24:16","indexId":"70186145","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Progress in data collection and dissemination in water resources – 1974-2014","docAbstract":"In the 50 years since the founding of the American Water Resources Association (AWRA), there has been tremendous and likely unforeseen progress in water-re- sources data collection and dissemination. Langford and Doyel (1974) (henceforth L&D) described progress during the decade following the founding of AWRA, and focused their description around seven topics. L&D described the changes as being “more philosophical than technical,” and noted the importance to the water-resources com-\nmunity of the more than 30 Federal Acts or Amendments enacted in the decade. \nThe purpose of this article is to provide an update to L&D by reviewing L&D’s predictions of anticipated changes in water resources data collection and dissemi-nation, providing an overview of some of the drivers of change in the water-resources community in the last 40 years, identifying some key advances in water-resources data collection and dissemination since 1974, and out-lining some important near-term challenges. The overview is necessarily incomplete, but represents one perspective based on years of collaboration throughout the water-resources community.","language":"English","publisher":"America Water Resources Association","usgsCitation":"Bales, J.D., 2014, Progress in data collection and dissemination in water resources – 1974-2014: Water Resources Impact, v. 16, no. 3, p. 18-23.","productDescription":"6 p.","startPage":"18","endPage":"23","ipdsId":"IP-056207","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338804,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1951e4b02ff32c699cb3","contributors":{"authors":[{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187386,"text":"70187386 - 2014 - Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes","interactions":[],"lastModifiedDate":"2017-05-01T12:39:10","indexId":"70187386","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","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":"Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes","docAbstract":"

The maintenance of genetic integrity is an important goal of fisheries management, yet little is known regarding the effects of management actions (e.g., stocking, harvest regulations) on the genetic diversity of many important fish species. Furthermore, relationships between population characteristics and genetic diversity remain poorly understood. We examined relationships among population demographics (abundance, recruitment, sex ratio, and mean age of the breeding population), stocking intensity, and genetic characteristics (heterozygosity, effective number of alleles, allelic richness, Wright's inbreeding coefficient, effective population size [Ne], mean d2 [a measure of inbreeding], mean relatedness, and pairwise population ΦST estimates) for 15 populations of Walleye Sander vitreus in northern Wisconsin. We also tested for potential demographic and genetic influences on Walleye body condition and early growth. Combinations of demographic variables explained 47.1–79.8% of the variation in genetic diversity. Skewed sex ratios contributed to a reduction in Ne and subsequent increases in genetic drift and relatedness among individuals within populations; these factors were correlated to reductions in allelic richness and early growth rate. Levels of inbreeding were negatively related to both age-0 abundance and mean age, suggesting Ne was influenced by recruitment and generational overlap. A negative relationship between the effective number of alleles and body condition suggests stocking affected underlying genetic diversity of recipient populations and the overall productivity of the population. These relationships may result from poor performance of stocked fish, outbreeding depression, or density-dependent factors. An isolation-by-distance pattern of genetic diversity was apparent in nonstocked populations, but was disrupted in stocked populations, suggesting that stocking affected genetic structure. Overall, demographic factors were related to genetic diversity and stocking appeared to alter allelic frequencies and the genetic structure of Walleye populations in Wisconsin, possibly resulting in disruption of local adaptation.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880742","usgsCitation":"Waterhouse, M.D., Sloss, B.L., and Isermann, D.A., 2014, Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes: Transactions of the American Fisheries Society, v. 143, no. 3, p. 744-756, https://doi.org/10.1080/00028487.2014.880742.","productDescription":"13 p.","startPage":"744","endPage":"756","ipdsId":"IP-045413","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Oneida County, Vilas County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.0477,45.8953],[-89.047,45.8097],[-89.0469,45.7265],[-89.0475,45.6391],[-89.0468,45.5518],[-89.0467,45.4668],[-89.174,45.4681],[-89.3013,45.4692],[-89.4274,45.4707],[-89.4286,45.5553],[-89.5489,45.5562],[-89.6725,45.5556],[-89.7961,45.5559],[-89.9197,45.5551],[-90.0433,45.5551],[-90.0434,45.6443],[-90.0434,45.7302],[-90.0448,45.8176],[-90.0428,45.8972],[-90.0442,45.9823],[-90.0134,45.9824],[-89.9853,45.9821],[-89.9289,45.9818],[-89.9282,46.0693],[-89.9288,46.1558],[-89.9287,46.2428],[-89.929,46.3],[-89.7599,46.268],[-89.7368,46.2636],[-89.5829,46.2347],[-89.5331,46.2252],[-89.5133,46.2215],[-89.4272,46.2048],[-89.3759,46.1949],[-89.2666,46.1737],[-89.2302,46.1662],[-89.0854,46.1365],[-88.9879,46.0971],[-88.9329,46.0746],[-88.9332,45.9822],[-89.0478,45.9822],[-89.0477,45.8953]]]},\"properties\":{\"name\":\"Oneida\",\"state\":\"WI\"}}]}","volume":"143","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd7c","contributors":{"authors":[{"text":"Waterhouse, Matthew D.","contributorId":191666,"corporation":false,"usgs":false,"family":"Waterhouse","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188045,"text":"70188045 - 2014 - Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","interactions":[],"lastModifiedDate":"2018-12-07T14:42:44","indexId":"70188045","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":679,"text":"Agricultural Systems","active":true,"publicationSubtype":{"id":10}},"title":"Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","docAbstract":"

Over 22 million hectares (ha) of U.S. croplands are irrigated. Irrigation is an intensified agricultural land use that increases crop yields and the practice affects water and energy cycles at, above, and below the land surface. Until recently, there has been a scarcity of geospatially detailed information about irrigation that is comprehensive, consistent, and timely to support studies tying agricultural land use change to aquifer water use and other factors. This study shows evidence for a recent overall net expansion of 522 thousand ha across the U.S. (2.33%) and 519 thousand ha (8.7%) in irrigated cropped area across the High Plains Aquifer (HPA) from 2002 to 2007. In fact, over 97% of the net national expansion in irrigated agriculture overlays the HPA. We employed a modeling approach implemented at two time intervals (2002 and 2007) for mapping irrigated agriculture across the conterminous U.S. (CONUS). We utilized U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map in the model. The model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the U.S. (MIrAD-US), was then used to reveal relatively detailed spatial patterns of irrigation change across the nation and the HPA. Causes for the irrigation increase in the HPA are complex, but factors include crop commodity price increases, the corn ethanol industry, and government policies related to water use. Impacts of more irrigation may include shifts in local and regional climate, further groundwater depletion, and increasing crop yields and farm income.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agsy.2014.01.004","usgsCitation":"Brown, J.F., and Pervez, M., 2014, Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture: Agricultural Systems, v. 127, p. 28-40, https://doi.org/10.1016/j.agsy.2014.01.004.","productDescription":"13 p.","startPage":"28","endPage":"40","ipdsId":"IP-039516","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c4e4b092b266f10d8b","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187372,"text":"70187372 - 2014 - Roosting and foraging social structure of the endangered Indiana bat (Myotis sodalis)","interactions":[],"lastModifiedDate":"2017-05-01T12:52:58","indexId":"70187372","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","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":"Roosting and foraging social structure of the endangered Indiana bat (Myotis sodalis)","docAbstract":"

Social dynamics are an important but poorly understood aspect of bat ecology. Herein we use a combination of graph theoretic and spatial approaches to describe the roost and social network characteristics and foraging associations of an Indiana bat (Myotis sodalis) maternity colony in an agricultural landscape in Ohio, USA. We tracked 46 bats to 50 roosts (423 total relocations) and collected 2,306 foraging locations for 40 bats during the summers of 2009 and 2010. We found the colony roosting network was highly centralized in both years and that roost and social networks differed significantly from random networks. Roost and social network structure also differed substantially between years. Social network structure appeared to be unrelated to segregation of roosts between age classes. For bats whose individual foraging ranges were calculated, many shared foraging space with at least one other bat. Compared across all possible bat dyads, 47% and 43% of the dyads showed more than expected overlap of foraging areas in 2009 and 2010 respectively. Colony roosting area differed between years, but the roosting area centroid shifted only 332 m. In contrast, whole colony foraging area use was similar between years. Random roost removal simulations suggest that Indiana bat colonies may be robust to loss of a limited number of roosts but may respond differently from year to year. Our study emphasizes the utility of graphic theoretic and spatial approaches for examining the sociality and roosting behavior of bats. Detailed knowledge of the relationships between social and spatial aspects of bat ecology could greatly increase conservation effectiveness by allowing more structured approaches to roost and habitat retention for tree-roosting, socially-aggregating bat species.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0096937","usgsCitation":"Silvis, A., Kniowski, A.B., Gehrt, S.D., and Ford, W.M., 2014, Roosting and foraging social structure of the endangered Indiana bat (Myotis sodalis): PLoS ONE, v. 9, no. 5, p. 1-12, https://doi.org/10.1371/journal.pone.0096937.","productDescription":"e96937; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-055294","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0096937","text":"Publisher Index Page"},{"id":340674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","county":"Pickaway County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.8243,39.7945],[-82.8374,39.6494],[-82.8344,39.6494],[-82.8407,39.5823],[-82.843,39.5615],[-82.8251,39.5606],[-82.7314,39.5549],[-82.736,39.5105],[-82.7366,39.5046],[-82.7372,39.5],[-82.7377,39.4969],[-82.7406,39.4678],[-82.8241,39.4722],[-82.8282,39.4722],[-82.8485,39.473],[-82.8539,39.4735],[-82.8843,39.4747],[-82.8908,39.4756],[-82.8932,39.4752],[-82.9087,39.476],[-82.9171,39.4765],[-82.9713,39.479],[-82.9981,39.4798],[-82.997,39.4843],[-82.9946,39.4884],[-82.9928,39.4893],[-82.9905,39.4907],[-82.9887,39.4911],[-82.9857,39.4907],[-82.9797,39.4907],[-82.978,39.4935],[-82.978,39.5007],[-82.9822,39.5066],[-82.9852,39.5075],[-82.9912,39.5065],[-83.0979,39.5093],[-83.2673,39.516],[-83.2525,39.6952],[-83.2499,39.7301],[-83.2436,39.8131],[-83.1854,39.8089],[-83.0381,39.8056],[-82.8243,39.7945]]]},\"properties\":{\"name\":\"Pickaway\",\"state\":\"OH\"}}]}","volume":"9","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-09","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd7e","contributors":{"authors":[{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":693762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gehrt, Stanley D.","contributorId":114061,"corporation":false,"usgs":true,"family":"Gehrt","given":"Stanley","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693635,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187363,"text":"70187363 - 2014 - Using cumulative diet data and stable isotope analysis to determine trophic position of walleye Sander vitreus in a large, complex system","interactions":[],"lastModifiedDate":"2017-05-01T10:12:20","indexId":"70187363","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using cumulative diet data and stable isotope analysis to determine trophic position of walleye Sander vitreus in a large, complex system","docAbstract":"

Diet studies have traditionally been used to determine prey use and food web dynamics, while stable isotope analysis provides for a time-integrated approach to evaluate food web dynamics and characterize energy flow in aquatic systems. Direct comparison of the two techniques is rare and difficult to conduct in large, species rich systems. We compared changes in walleye Sander vitreus trophic position (TP) derived from paired diet content and stable isotope analysis. Individual diet-derived TP estimates were dissimilar to stable isotope-derived TP estimates. However, cumulative diet-derived TP estimates integrated from May 2001 to May 2002 corresponded to May 2002 isotope-derived estimates of TP. Average walleye TP estimates from the spring season appear representative of feeding throughout the entire previous year.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2014.910713","usgsCitation":"Fincel, M.J., James, D.A., Chipps, S.R., and Davis, B.A., 2014, Using cumulative diet data and stable isotope analysis to determine trophic position of walleye Sander vitreus in a large, complex system: Journal of Freshwater Ecology, v. 29, no. 3, p. 441-447, https://doi.org/10.1080/02705060.2014.910713.","productDescription":"7 p.","startPage":"441","endPage":"447","ipdsId":"IP-055817","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd80","contributors":{"authors":[{"text":"Fincel, Mark J.","contributorId":171853,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":693631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Daniel A.","contributorId":41737,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Blake A.","contributorId":191618,"corporation":false,"usgs":false,"family":"Davis","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191614,"text":"70191614 - 2014 - Applications of spatial statistical network models to stream data","interactions":[],"lastModifiedDate":"2017-11-22T10:45:26","indexId":"70191614","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Applications of spatial statistical network models to stream data","docAbstract":"

Streams and rivers host a significant portion of Earth's biodiversity and provide important ecosystem services for human populations. Accurate information regarding the status and trends of stream resources is vital for their effective conservation and management. Most statistical techniques applied to data measured on stream networks were developed for terrestrial applications and are not optimized for streams. A new class of spatial statistical model, based on valid covariance structures for stream networks, can be used with many common types of stream data (e.g., water quality attributes, habitat conditions, biological surveys) through application of appropriate distributions (e.g., Gaussian, binomial, Poisson). The spatial statistical network models account for spatial autocorrelation (i.e., nonindependence) among measurements, which allows their application to databases with clustered measurement locations. Large amounts of stream data exist in many areas where spatial statistical analyses could be used to develop novel insights, improve predictions at unsampled sites, and aid in the design of efficient monitoring strategies at relatively low cost. We review the topic of spatial autocorrelation and its effects on statistical inference, demonstrate the use of spatial statistics with stream datasets relevant to common research and management questions, and discuss additional applications and development potential for spatial statistics on stream networks. Free software for implementing the spatial statistical network models has been developed that enables custom applications with many stream databases.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1023","usgsCitation":"Isaak, D.J., Peterson, E.E., Ver Hoef, J.M., Wenger, S.J., Falke, J.A., Torgersen, C.E., Sowder, C., Steel, E.A., Fortin, M., Jordan, C.E., Ruesch, A.S., Som, N., and Monestiez, P., 2014, Applications of spatial statistical network models to stream data: WIREs Water, v. 1, no. 3, p. 277-294, https://doi.org/10.1002/wat2.1023.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-052526","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":346716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"59e71694e4b05fe04cd331d7","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Erin E.","contributorId":16264,"corporation":false,"usgs":true,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ver Hoef, Jay M.","contributorId":42504,"corporation":false,"usgs":true,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":3578,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":712903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sowder, Colin","contributorId":197201,"corporation":false,"usgs":false,"family":"Sowder","given":"Colin","email":"","affiliations":[],"preferred":false,"id":712904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":712905,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":712906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712907,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712908,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Som, Nicholas","contributorId":100264,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","affiliations":[],"preferred":false,"id":712909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Monestiez, Pascal","contributorId":11910,"corporation":false,"usgs":true,"family":"Monestiez","given":"Pascal","email":"","affiliations":[],"preferred":false,"id":712910,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70189561,"text":"70189561 - 2014 - An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter","interactions":[],"lastModifiedDate":"2017-07-17T12:25:27","indexId":"70189561","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter","docAbstract":"

Dissolved organic matter (DOM) was isolated from large volumes of deep (674 m) and surface (21 m) ocean water via reverse osmosis/electrodialysis (RO/ED) and two solid-phase extraction (SPE) methods (XAD-8/4 and PPL) at the Natural Energy Laboratory of Hawaii Authority (NELHA). By applying the three methods to common water samples, the efficiencies of XAD, PPL and RO/ED DOM isolation were compared. XAD recovered 42% of dissolved organic carbon (DOC) from deep water (25% with XAD-8; 17% with XAD-4) and 30% from surface water (16% with XAD-8; 14% with XAD-4). PPL recovered 61 ± 3% of DOC from deep water and 61% from surface water. RO/ED recovered 82 ± 3% of DOC from deep water, 14 ± 3% of which was recovered in a sodium hydroxide rinse, and 75 ± 5% of DOC from surface water, with 12 ± 2% in the sodium hydroxide rinse. The highest recoveries of all were achieved by the sequential isolation of DOC, first with PPL and then via RO/ED. This combined technique recovered 98% of DOC from a deep water sample and 101% of DOC from a surface water sample. In total, 1.9, 10.3 and 1.6 g-C of DOC were collected via XAD, PPL and RO/ED, respectively. Rates of DOC recovery using the XAD, PPL and RO/ED methods were 10, 33 and 10 mg-C h− 1, respectively. Based upon C/N ratios, XAD isolates were heavily C-enriched compared with water column DOM, whereas RO/ED and PPL ➔ RO/ED isolate C/N values were most representative of the original DOM. All techniques are suitable for the isolation of large amounts of DOM with purities suitable for most advanced analytical techniques. Coupling PPL and RO/ED techniques may provide substantial progress in the search for a method to quantitatively isolate oceanic DOC, bringing the entirety of the DOM pool within the marine chemist's analytical window.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2014.01.012","usgsCitation":"Green, N.W., Perdue, E.M., Aiken, G.R., Butler, K.D., Chen, H., Dittmar, T., Niggemann, J., and Stubbins, A., 2014, An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter: Marine Chemistry, v. 161, p. 14-19, https://doi.org/10.1016/j.marchem.2014.01.012.","productDescription":"6 p.","startPage":"14","endPage":"19","ipdsId":"IP-054494","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596dcca4e4b0d1f9f0627567","contributors":{"authors":[{"text":"Green, Nelson W.","contributorId":194720,"corporation":false,"usgs":false,"family":"Green","given":"Nelson","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":705183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perdue, E. Michael","contributorId":86904,"corporation":false,"usgs":true,"family":"Perdue","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":705184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":705186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Hongmei","contributorId":194721,"corporation":false,"usgs":false,"family":"Chen","given":"Hongmei","email":"","affiliations":[],"preferred":false,"id":705187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dittmar, Thorsten","contributorId":191245,"corporation":false,"usgs":false,"family":"Dittmar","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":705188,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niggemann, Jutta","contributorId":194722,"corporation":false,"usgs":false,"family":"Niggemann","given":"Jutta","email":"","affiliations":[],"preferred":false,"id":705189,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":705190,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}