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Here, we demonstrate that natural organic matter (NOM) in soil impacts PrPTSE detection by immunoblotting. Methods commonly used to extract PrPTSE from soils release substantial amounts of NOM, and NOM inhibited PrPTSE immunoblot signal. The degree of immunoblot interference increased with increasing NOM concentration and decreasing NOM polarity. Humic substances affected immunoblot detection of prion protein from both deer and hamsters. We also establish that after interaction with humic acid, PrPTSE remains infectious to hamsters inoculated intracerebrally, and humic acid appeared to slow disease progression. These results provide evidence for interactions between PrPTSE and humic substances that influence both accurate measurement of PrPTSE in soil and disease transmission.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Biology and Biochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2013.10.005","usgsCitation":"Smith, C.B., Booth, C.J., Wadzinski, T.J., Legname, G., Chappell, R., Johnson, C.J., and Pedersen, J.A., 2014, Humic substances interfere with detection of pathogenic prion protein: Soil Biology and Biochemistry, v. 68, p. 309-316, https://doi.org/10.1016/j.soilbio.2013.10.005.","productDescription":"8 p.","startPage":"309","endPage":"316","ipdsId":"IP-029446","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":278616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278615,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soilbio.2013.10.005"}],"volume":"68","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52736dfde4b097f32ac3dae3","contributors":{"authors":[{"text":"Smith, Christen B.","contributorId":105210,"corporation":false,"usgs":true,"family":"Smith","given":"Christen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, Clarissa J.","contributorId":90626,"corporation":false,"usgs":true,"family":"Booth","given":"Clarissa","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wadzinski, Tyler J.","contributorId":103169,"corporation":false,"usgs":true,"family":"Wadzinski","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legname, Giuseppe","contributorId":58546,"corporation":false,"usgs":true,"family":"Legname","given":"Giuseppe","email":"","affiliations":[],"preferred":false,"id":485512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chappell, Rick","contributorId":77034,"corporation":false,"usgs":true,"family":"Chappell","given":"Rick","email":"","affiliations":[],"preferred":false,"id":485513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Christopher J. cjjohnson@usgs.gov","contributorId":3491,"corporation":false,"usgs":true,"family":"Johnson","given":"Christopher","email":"cjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":485511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pedersen, Joel A.","contributorId":85079,"corporation":false,"usgs":true,"family":"Pedersen","given":"Joel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485514,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048677,"text":"70048677 - 2014 - Damping scaling factors for elastic response spectra for shallow crustal earthquakes in active tectonic regions: \"average\" horizontal component","interactions":[],"lastModifiedDate":"2014-06-19T08:41:34","indexId":"70048677","displayToPublicDate":"2013-10-29T14:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Damping scaling factors for elastic response spectra for shallow crustal earthquakes in active tectonic regions: \"average\" horizontal component","docAbstract":"Ground motion prediction equations (GMPEs) for elastic response spectra are typically developed at a 5% viscous damping ratio. In reality, however, structural and nonstructural systems can have other damping ratios. This paper develops a new model for a damping scaling factor (DSF) that can be used to adjust the 5% damped spectral ordinates predicted by a GMPE for damping ratios between 0.5% to 30%. The model is developed based on empirical data from worldwide shallow crustal earthquakes in active tectonic regions. Dependencies of the DSF on potential predictor variables, such as the damping ratio, spectral period, ground motion duration, moment magnitude, source-to-site distance, and site conditions, are examined. The strong influence of duration is captured by the inclusion of both magnitude and distance in the DSF model. Site conditions show weak influence on the DSF. The proposed damping scaling model provides functional forms for the median and logarithmic standard deviation of DSF, and is developed for both RotD50 and GMRotI50 horizontal components. A follow-up paper develops a DSF model for vertical ground motion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Earthquake Engineering Research Institute","publisherLocation":"Berkeley, CA","doi":"10.1193/100512EQS298M","usgsCitation":"Rezaeian, S., Bozorgnia, Y., Idriss, I., Abrahamson, N., Campbell, K., and Silva, W., 2014, Damping scaling factors for elastic response spectra for shallow crustal earthquakes in active tectonic regions: \"average\" horizontal component: Earthquake Spectra, v. 30, no. 2, p. 939-963, https://doi.org/10.1193/100512EQS298M.","productDescription":"25 p.","startPage":"939","endPage":"963","numberOfPages":"25","ipdsId":"IP-048850","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/100512EQS298M"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"5270caf9e4b0f7a10664c764","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozorgnia, Yousef","contributorId":40101,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":485397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Idriss, I.M.","contributorId":105412,"corporation":false,"usgs":true,"family":"Idriss","given":"I.M.","email":"","affiliations":[],"preferred":false,"id":485401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abrahamson, Norman","contributorId":66990,"corporation":false,"usgs":true,"family":"Abrahamson","given":"Norman","affiliations":[],"preferred":false,"id":485399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Kenneth","contributorId":86246,"corporation":false,"usgs":true,"family":"Campbell","given":"Kenneth","affiliations":[],"preferred":false,"id":485400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Silva, Walter","contributorId":50429,"corporation":false,"usgs":true,"family":"Silva","given":"Walter","affiliations":[],"preferred":false,"id":485398,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048653,"text":"70048653 - 2014 - Acute pasteurellosis in wild big brown bats (Eptesicus fuscus)","interactions":[],"lastModifiedDate":"2015-05-06T10:47:42","indexId":"70048653","displayToPublicDate":"2013-10-28T12:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Acute pasteurellosis in wild big brown bats (Eptesicus fuscus)","docAbstract":"

We report acute fatal pasteurellosis in wild big brown bats (Eptesicus fuscus) in Wisconsin, USA. Mortality of approximately 100 bats was documented over 4 wk, with no evidence for predatory injuries. Pasteurella multocida serotype 1 was isolated from multiple internal organs from four of five bats examined postmortem.

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Pixels from the Moderate Resolution Imaging Spectrometer (MODIS) sensors on the Terra satellite showed a sharp drop in NDVI in midsummer followed by recovery, correlated with defoliation events as revealed in networked digital camera images and ground surveys. Ground surveys and MODIS imagery showed that beetle damage progressed downstream at a rate of about 25 km yr−1 in 2010 and 2011, producing a 50% reduction in saltcedar leaf area index and evapotranspiration by 2012, as estimated by algorithms based on MODIS Enhanced Vegetation Index values and local meteorological data for Mesquite, Nevada. This reduction is the equivalent of 10.4% of mean annual river flows on this river reach. Our results confirm other observations that saltcedar beetles are dispersing much faster than originally predicted in pre-release biological assessments, presenting new challenges and opportunities for land, water and wildlife managers on western rivers. Despite relatively coarse resolution (250 m) and gridding artifacts, single MODIS pixels can be useful in tracking the effects of defoliating insects in riparian corridors.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.08.017","usgsCitation":"Nagler, P.L., Pearlstein, S., Glenn, E.P., Brown, T.B., Bateman, H.L., Bean, D., and Hultine, K.R., 2014, Rapid dispersal of saltcedar (Tamarix spp.) biocontrol beetles (Diorhabda carinulata) on a desert river detected by phenocams, MODIS imagery and ground observations: Remote Sensing of Environment, v. 140, p. 206-219, https://doi.org/10.1016/j.rse.2013.08.017.","productDescription":"14 p.","startPage":"206","endPage":"219","numberOfPages":"14","ipdsId":"IP-044868","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":278471,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278470,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.08.017"}],"country":"United States","state":"Arizona, Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.350000,36.500000 ], [ -114.350000,37.000000 ], [ -113.991667,37.000000 ], [ -113.991667,36.500000 ], [ -114.350000,36.500000 ] ] ] } } ] }","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7972e4b0493c992e9972","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearlstein, Susanna","contributorId":107577,"corporation":false,"usgs":true,"family":"Pearlstein","given":"Susanna","affiliations":[],"preferred":false,"id":485292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":485287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Tim B.","contributorId":57360,"corporation":false,"usgs":true,"family":"Brown","given":"Tim","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bateman, Heather L.","contributorId":72294,"corporation":false,"usgs":true,"family":"Bateman","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":485290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485288,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211393,"text":"70211393 - 2014 - National valuation of monarch butterflies indicates an untapped potential for incentive-based conservation","interactions":[],"lastModifiedDate":"2020-12-18T17:00:54.341225","indexId":"70211393","displayToPublicDate":"2013-10-28T09:02:37","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":"National valuation of monarch butterflies indicates an untapped potential for incentive-based conservation","docAbstract":"

The annual migration of monarch butterflies (Danaus plexippus) has high cultural value and recent surveys indicate monarch populations are declining. Protecting migratory species is complex because they cross international borders and depend on multiple regions. Understanding how much, and where, humans place value on migratory species can facilitate market‐based conservation approaches. We performed a contingent valuation study of monarchs to understand the potential for such approaches to fund monarch conservation. The survey asked U.S. respondents about the money they would spend, or have spent, growing monarch‐friendly plants, and the amount they would donate to monarch conservation organizations. Combining planting payments and donations, the survey indicated U.S. households valued monarchs as a total one‐time payment of \\$4.78–\\$6.64 billion, levels similar to many endangered vertebrate species. The financial contribution of even a small percentage of households through purchases or donations could generate new funding for monarch conservation through market‐based approaches.

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We evaluated 4 capture techniques for bighorn sheep lambs: 1) hand-capture of lambs from radiocollared adult females fitted with vaginal implant transmitters (VITs), 2) hand-capture of lambs of intensively monitored radiocollared adult females, 3) helicopter net-gunning, and 4) hand-capture of lambs from helicopters. During 2010–2012, we successfully captured 90% of lambs from females that retained VITs to ≤1 day of parturition, although we noted differences in capture rates between an area of high road density in the Black Hills (92–100%) of South Dakota, USA, and less accessible areas of New Mexico (71%), USA. Retention of VITs was 78% with pre-partum expulsion the main cause of failure. We were less likely to capture lambs from females that expelled VITs ≥1 day of parturition (range = 80–83%) or females that were collared without VITs (range = 60–78%). We used helicopter net-gunning at several sites in 1999, 2001–2002, and 2011, and it proved a useful technique; however, at one site, attempts to capture lambs led to lamb predation by golden eagles (Aquila chrysaetos). We attempted helicopter hand-captures at one site in 1999, and they also were successful in certain circumstances and avoided risk of physical trauma from net-gunning; however, application was limited. In areas of low accessibility or if personnel lack the ability to monitor females and/or VITs for extended periods, helicopter capture may provide a viable option for lamb capture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.360","usgsCitation":"Smith, J.B., Walsh, D.P., Goldstein, E., Parsons, Z.D., Karsch, R., Stiver, J.R., Cain, J.W., Raedeke, K.J., and Jenks, J., 2014, Techniques for capturing bighorn sheep lambs: Wildlife Society Bulletin, v. 31, no. 1, p. 165-174, https://doi.org/10.1002/wsb.360.","productDescription":"10 p.","startPage":"165","endPage":"174","numberOfPages":"10","ipdsId":"IP-042867","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":471,"text":"New Mexico Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":500037,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/7aebda216b99449a8afec7eeda75612d","text":"External Repository"},{"id":280949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280948,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.360"}],"country":"United States","state":"Colorado;New Mexico;South Dakota","otherGeospatial":"Black Hills;Pikes Peak;Peloncillo Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.03,31.2 ], [ -109.03,45.95 ], [ -102.0,45.95 ], [ -102.0,31.2 ], [ -109.03,31.2 ] ] ] } } ] }","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-26","publicationStatus":"PW","scienceBaseUri":"53559598e4b0120853e8c241","contributors":{"authors":[{"text":"Smith, Joshua B.","contributorId":71883,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":477358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":477352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Elise J.","contributorId":32825,"corporation":false,"usgs":true,"family":"Goldstein","given":"Elise J.","affiliations":[],"preferred":false,"id":477355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Zachary D.","contributorId":30143,"corporation":false,"usgs":true,"family":"Parsons","given":"Zachary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":477354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karsch, Rebekah C.","contributorId":64159,"corporation":false,"usgs":true,"family":"Karsch","given":"Rebekah C.","affiliations":[],"preferred":false,"id":477357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stiver, Julie R.","contributorId":78244,"corporation":false,"usgs":true,"family":"Stiver","given":"Julie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":477351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raedeke, Kenneth J.","contributorId":29378,"corporation":false,"usgs":true,"family":"Raedeke","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":477356,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70059272,"text":"70059272 - 2014 - Interactions between an exotic ecosystem engineer (Dreissena spp.) and native burrowing mayflies (Hexagenia spp.) in soft sediments of western Lake Erie","interactions":[],"lastModifiedDate":"2023-04-04T14:57:19.357587","indexId":"70059272","displayToPublicDate":"2013-10-25T16:27:19","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Interactions between an exotic ecosystem engineer (Dreissena spp.) and native burrowing mayflies (Hexagenia spp.) in soft sediments of western Lake Erie","title":"Interactions between an exotic ecosystem engineer (Dreissena spp.) and native burrowing mayflies (Hexagenia spp.) in soft sediments of western Lake Erie","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: Biology, impacts, and control","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"DeVanna, K.M., Schloesser, D.W., Bossenbroek, J.M., and Mayer, C.M., 2014, Interactions between an exotic ecosystem engineer (Dreissena spp.) and native burrowing mayflies (Hexagenia spp.) in soft sediments of western Lake Erie, chap. of Quagga and zebra mussels: Biology, impacts, and control, p. 611-622.","productDescription":"12 p.","startPage":"611","endPage":"622","numberOfPages":"12","ipdsId":"IP-040164","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280683,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280682,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/product/isbn/9781439854365"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3815 ], [ -83.4797,42.907 ], [ -78.8539,42.907 ], [ -78.8539,41.3815 ], [ -83.4797,41.3815 ] ] ] } } ] }","edition":"Second Edition","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62c3e4b0b290850fe637","contributors":{"editors":[{"text":"Nalepa, Thomas F.","contributorId":211819,"corporation":false,"usgs":false,"family":"Nalepa","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":868578,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Schloesser, Donald W. dschloesser@usgs.gov","contributorId":3579,"corporation":false,"usgs":true,"family":"Schloesser","given":"Donald","email":"dschloesser@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":868579,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"DeVanna, Kristen M.","contributorId":64991,"corporation":false,"usgs":true,"family":"DeVanna","given":"Kristen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":487546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bossenbroek, Jonathan M.","contributorId":98622,"corporation":false,"usgs":true,"family":"Bossenbroek","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048557,"text":"70048557 - 2014 - The roles of competition and habitat in the dynamics of populations and species distributions","interactions":[],"lastModifiedDate":"2014-02-24T10:50:35","indexId":"70048557","displayToPublicDate":"2013-10-23T09:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The roles of competition and habitat in the dynamics of populations and species distributions","docAbstract":"

The role of competition in structuring biotic communities at fine spatial scales is well known from detailed process-based studies. Our understanding of competition's importance at broader scales is less resolved and mainly based on static species distribution maps. Here, we bridge this gap by examining the joint occupancy dynamics of an invading (barred owl: Strix varia) and a resident species (Northern spotted owl: Strix occidentalis caurina) in a 1000 km2 study area over a 22 - year period. Past studies of these competitors have focused on the dynamics of one species at a time, hindering efforts to parse out the roles of habitat and competition and to forecast the future of the resident species. In addition, while these studies accounted for the imperfect detection of the focal species, no multiseason analysis of these species has accounted for the imperfect detection of the secondary species, potentially biasing inference. We analyze survey data using models that combine the general multistate-multiseason occupancy modeling framework with autologistic modeling - allowing us to account for important aspects of our study system.

\n
\n

We find that local extinction probability increases for each species when the other is present; however, the effect of the invader on the resident is greater. Although the species prefer different habitats, these habitats are highly correlated at the patch scale and the impacts of invader on the resident are greatest in patches that would otherwise be optimal. As a consequence, competition leads to a weaker relationship between habitat and Northern spotted owl occupancy. Colonization and extinction rates of the invader are closely related to neighborhood occupancy, and over the first half of the study the availability of colonists limited the rate of population growth. Competition is likely to exclude the resident species both through its immediate effects on local extinction, and by indirectly lowering colonization rates as Northern spotted owl occupancy declines. Our analysis suggests that dispersal limitation affects both the invasion dynamics and the scale at which the effects of competition are observed. We also provide predictions regarding the potential costs and benefits of managing barred owl populations at different target levels.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0012.1","usgsCitation":"Yackulic, C.B., Reid, J., Nichols, J., Hines, J., Davis, R., and Forsman, E., 2014, The roles of competition and habitat in the dynamics of populations and species distributions: Ecology, v. 95, no. 2, p. 265-279, https://doi.org/10.1890/13-0012.1.","productDescription":"15 p.","startPage":"265","endPage":"279","numberOfPages":"15","ipdsId":"IP-051859","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":278343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278342,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0012.1"}],"country":"United States","state":"Oregon","volume":"95","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5268e1cfe4b0584cbe916841","contributors":{"authors":[{"text":"Yackulic, Charles Brandon","contributorId":63300,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"","middleInitial":"Brandon","affiliations":[],"preferred":false,"id":485074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Janice","contributorId":89391,"corporation":false,"usgs":false,"family":"Reid","given":"Janice","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":485075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":485071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":485072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Raymond","contributorId":91349,"corporation":false,"usgs":true,"family":"Davis","given":"Raymond","affiliations":[],"preferred":false,"id":485076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forsman, Eric","contributorId":28470,"corporation":false,"usgs":true,"family":"Forsman","given":"Eric","affiliations":[],"preferred":false,"id":485073,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048528,"text":"70048528 - 2014 - Fish gut microbiota analysis differentiates physiology and behavior of invasive Asian carp and indigenous American fish","interactions":[],"lastModifiedDate":"2014-02-24T10:48:11","indexId":"70048528","displayToPublicDate":"2013-10-22T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2089,"text":"International Society for Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fish gut microbiota analysis differentiates physiology and behavior of invasive Asian carp and indigenous American fish","docAbstract":"Gut microbiota of invasive Asian silver carp (SVCP) and indigenous planktivorous gizzard shad (GZSD) in Mississippi river basin were compared using 16S rRNA gene pyrosequencing. Analysis of more than 440 000 quality-filtered sequences obtained from the foregut and hindgut of GZSD and SVCP revealed high microbial diversity in these samples. GZSD hindgut (GZSD_H) samples (n=23) with >7000 operational taxonomy units (OTUs) exhibited the highest alpha-diversity indices followed by SVCP foregut (n=15), GZSD foregut (n=9) and SVCP hindgut (SVCP_H) (n=24). UniFrac distance-based non-metric multidimensional scaling (NMDS) analysis showed that the microbiota of GZSD_H and SVCP_H were clearly separated into two clusters: samples in the GZSD cluster were observed to vary by sampling location and samples in the SVCP cluster by sampling date. NMDS further revealed distinct microbial community between foregut to hindgut for individual GZSD and SVCP. Cyanobacteria, Proteobacteria, Actinobacteria and Bacteroidetes were detected as the predominant phyla regardless of fish or gut type. The high abundance of Cyanobacteria observed was possibly supported by their role as the fish’s major food source. Furthermore, unique and shared OTUs and OTUs in each gut type were identified, three OTUs from the order Bacteroidales, the genus Bacillariophyta and the genus Clostridium were found significantly more abundant in GZSD_H (14.9–22.8%) than in SVCP_H (0.13–4.1%) samples. These differences were presumably caused by the differences in the type of food sources including bacteria ingested, the gut morphology and digestion, and the physiological behavior between GZSD and SVCP.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Society for Microbial Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ismej.2013.181","usgsCitation":"Ye, L., Amberg, J., Chapman, D., Gaikowski, M.P., and Liu, W., 2014, Fish gut microbiota analysis differentiates physiology and behavior of invasive Asian carp and indigenous American fish: International Society for Microbial Ecology, v. 8, p. 541-551, https://doi.org/10.1038/ismej.2013.181.","productDescription":"11 p.","startPage":"541","endPage":"551","numberOfPages":"11","ipdsId":"IP-045121","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ismej.2013.181","text":"Publisher Index Page"},{"id":278325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278323,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ismej.2013.181"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2013-10-17","publicationStatus":"PW","scienceBaseUri":"52679065e4b0c24c90856d7e","contributors":{"authors":[{"text":"Ye, Lin","contributorId":70682,"corporation":false,"usgs":true,"family":"Ye","given":"Lin","email":"","affiliations":[],"preferred":false,"id":484971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":484969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":484970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":484968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Wen-Tso","contributorId":71873,"corporation":false,"usgs":true,"family":"Liu","given":"Wen-Tso","email":"","affiliations":[],"preferred":false,"id":484972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205771,"text":"70205771 - 2014 - Aquatic ecosystems as indicators of status and trends in water quality","interactions":[],"lastModifiedDate":"2019-10-02T17:18:43","indexId":"70205771","displayToPublicDate":"2013-10-21T17:18:14","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1.9","title":"Aquatic ecosystems as indicators of status and trends in water quality","docAbstract":"

This chapter provides an introduction and overview of the use of aquatic ecosystems as indicators of water quality. The monitoring of biological communities (fish, algae, and invertebrates) as a means of assessing water quality conditions is emphasized along with ecotoxicological studies and measures of ecosystem function. Issues related to the design, implementation, and analysis of monitoring programs are reviewed and discussed with the objective of continually improving water quality conditions through adaptive management.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive Water Quality and Purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00008-6","usgsCitation":"Cuffney, T.F., Kennen, J., and Waite, I.R., 2014, Aquatic ecosystems as indicators of status and trends in water quality, chap. 1.9 of Comprehensive Water Quality and Purification, v. 1, p. 122-156, https://doi.org/10.1016/B978-0-12-382182-9.00008-6.","startPage":"122","endPage":"156","ipdsId":"IP-042636","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":367939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":205649,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048596,"text":"70048596 - 2014 - Environmental conditions associated with lesions in introduced free-ranging sheep in Hawai‘i","interactions":[],"lastModifiedDate":"2018-01-04T12:50:02","indexId":"70048596","displayToPublicDate":"2013-10-20T09:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions associated with lesions in introduced free-ranging sheep in Hawai‘i","docAbstract":"

Wildlife species which have been translocated between temperate and tropical regions of the world provide unique opportunities to understand how disease processes may be affected by environmental conditions. European mouflon sheep (Ovis gmelini musimon) from the Mediterranean Islands were introduced to the Hawaiian Islands for sport hunting beginning in 1954 and were subsequently hybridized with feral domestic sheep (O. aries), which had been introduced in 1793. Three isolated mouflon populations have become established in the Hawaiian Islands but diseases in these populations have been little studied. The objective of this study was to evaluate and compare gross and histologic lesions in respiratory, renal, and hepatic systems of free-ranging sheep in two isolated volcanic environments on Hawai‘i Island. Tissue and fecal samples were collected in conjunction with population reductions during February 2011. We found gross or histologic evidence of lungworm infection in 44/49 sheep from Mauna Loa which were exposed to gaseous emissions from Kīlauea Volcano. In contrast, only 7/50 sheep from Mauna Kea had lesions consistent with lungworm, but Mauna Kea sheep had significantly more upper respiratory tract inflammation and hyperplasia consistent with chronic antigenic stimulation, possibly associated with exposure to fine airborne particulates during extended drought conditions. We hypothesize that gasses from Kīlauea Volcano contributed to severity of respiratory disease principally associated with chronic lungworm infections at Mauna Loa; however, there were numerous other potentially confounding environmental factors and interactions that merit further investigation.

","language":"English","publisher":"Pacific Science Association","doi":"10.2984/68.1.6","usgsCitation":"Powers, J.G., Duncan, C.G., Spraker, T.R., Schuler, B.A., Hess, S., Faford, J.K., and Sin, H., 2014, Environmental conditions associated with lesions in introduced free-ranging sheep in Hawai‘i: Pacific Science, v. 68, no. 1, p. 65-74, https://doi.org/10.2984/68.1.6.","productDescription":"10 p.","startPage":"65","endPage":"74","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045728","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":278403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.062,18.9108 ], [ -156.062,20.2686 ], [ -154.8065,20.2686 ], [ -154.8065,18.9108 ], [ -156.062,18.9108 ] ] ] } } ] }","volume":"68","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b9300e4b058918d0acb9f","contributors":{"authors":[{"text":"Powers, Jenny G.","contributorId":10710,"corporation":false,"usgs":true,"family":"Powers","given":"Jenny","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":485172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, Colleen G.","contributorId":15512,"corporation":false,"usgs":false,"family":"Duncan","given":"Colleen","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":485173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spraker, Terry R.","contributorId":86676,"corporation":false,"usgs":true,"family":"Spraker","given":"Terry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuler, Bridget A.","contributorId":89051,"corporation":false,"usgs":true,"family":"Schuler","given":"Bridget","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Steven C.","contributorId":74462,"corporation":false,"usgs":true,"family":"Hess","given":"Steven C.","affiliations":[],"preferred":false,"id":485176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Faford, Jonathan K.J.","contributorId":16739,"corporation":false,"usgs":true,"family":"Faford","given":"Jonathan","email":"","middleInitial":"K.J.","affiliations":[],"preferred":false,"id":485174,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sin, Hans","contributorId":49265,"corporation":false,"usgs":true,"family":"Sin","given":"Hans","email":"","affiliations":[],"preferred":false,"id":485175,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048499,"text":"70048499 - 2014 - Environmental impacts of utility-scale solar energy","interactions":[],"lastModifiedDate":"2013-10-30T11:03:23","indexId":"70048499","displayToPublicDate":"2013-10-18T14:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3257,"text":"Renewable and Sustainable Energy Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Environmental impacts of utility-scale solar energy","docAbstract":"Renewable energy is a promising alternative to fossil fuel-based energy, but its development can require a complex set of environmental tradeoffs. A recent increase in solar energy systems, especially large, centralized installations, underscores the urgency of understanding their environmental interactions. Synthesizing literature across numerous disciplines, we review direct and indirect environmental impacts – both beneficial and adverse – of utility-scale solar energy (USSE) development, including impacts on biodiversity, land-use and land-cover change, soils, water resources, and human health. Additionally, we review feedbacks between USSE infrastructure and land-atmosphere interactions and the potential for USSE systems to mitigate climate change. Several characteristics and development strategies of USSE systems have low environmental impacts relative to other energy systems, including other renewables. We show opportunities to increase USSE environmental co-benefits, the permitting and regulatory constraints and opportunities of USSE, and highlight future research directions to better understand the nexus between USSE and the environment. Increasing the environmental compatibility of USSE systems will maximize the efficacy of this key renewable energy source in mitigating climatic and global environmental change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Renewable and Sustainable Energy Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rser.2013.08.041","usgsCitation":"Hernandez, R., Easter, S., Murphy-Mariscal, M.L., Maestre, F., Tavassoli, M., Allen, E., Barrows, C., Belnap, J., Ochoa-Hueso, R., Ravi, S., and Allen, M., 2014, Environmental impacts of utility-scale solar energy: Renewable and Sustainable Energy Reviews, v. 29, p. 766-779, https://doi.org/10.1016/j.rser.2013.08.041.","productDescription":"14 p.","startPage":"766","endPage":"779","ipdsId":"IP-049628","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473338,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/62w112cg","text":"External Repository"},{"id":278277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278235,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rser.2013.08.041"}],"volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a67e4b079a99629a0df","contributors":{"authors":[{"text":"Hernandez, R.R.","contributorId":38464,"corporation":false,"usgs":true,"family":"Hernandez","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":484842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Easter, S.B.","contributorId":41731,"corporation":false,"usgs":true,"family":"Easter","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":484843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy-Mariscal, M. 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We examined net ecosystem production (NEP) for the temperate grasslands in northern China from 2000 to 2010. We combined flux observations, satellite data, and climate data to develop a piecewise regression model for NEP, and then used the model to map NEP for grasslands in northern China. Over the growing season, the northern China's grassland had a net carbon uptake of 158 ± 25 g C m−2 during 2000–2010 with the mean regional NEP estimate of 126 Tg C. Our results showed generally higher grassland NEP at high latitudes (northeast) than at low latitudes (central and west) because of different grassland types and environmental conditions. In the northeast, which is dominated by meadow steppes, the growing season NEP generally reached 200–300 g C m−2. In the southwest corner of the region, which is partially occupied by alpine meadow systems, the growing season NEP also reached 200–300 g C m−2. In the central part, which is dominated by typical steppe systems, the growing season NEP generally varied in the range of 100–200 g C m−2. The NEP of the northern China's grasslands was highly variable through years, ranging from 129 (2001) to 217 g C m−2 growing season−1 (2010). The large interannual variations of NEP could be attributed to the sensitivity of temperate grasslands to climate changes and extreme climatic events. The droughts in 2000, 2001, and 2006 reduced the carbon uptake over the growing season by 11%, 29%, and 16% relative to the long-term (2000–2010) mean. Over the study period (2000–2010), precipitation was significantly correlated with NEP for the growing season (R2 = 0.35, p-value < 0.1), indicating that water availability is an important stressor for the productivity of the temperate grasslands in semi-arid and arid regions in northern China. We conclude that northern temperate grasslands have the potential to sequester carbon, but the capacity of carbon sequestration depends on grassland types and environmental conditions. Extreme climate events like drought can significantly reduce the net carbon uptake of grasslands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural and Forest Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2013.09.004","usgsCitation":"Zhang, L., Guo, H., Jia, G., Wylie, B., Gilmanov, T., Howard, D., Ji, L., Xiao, J., Li, J., Yuan, W., Zhao, T., Chen, S., Zhou, G., and Kato, T., 2014, Net ecosystem productivity of temperate grasslands in northern China: An upscaling study: Agricultural and Forest Meteorology, v. 184, p. 71-81, https://doi.org/10.1016/j.agrformet.2013.09.004.","productDescription":"11 p.","startPage":"71","endPage":"81","ipdsId":"IP-051428","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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along the Rhône River (France).","interactions":[],"lastModifiedDate":"2018-10-23T13:16:54","indexId":"70200540","displayToPublicDate":"2013-10-10T12:57:58","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","title":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","docAbstract":"

Despite bans on PCB use since 1975 (open systems) and 1987 (closed systems), concentrations of PCBs in riverine fish in France continue to exceed regulatory levels. We present historical records of PCB concentrations in sediment cores from eight sites on the Rhône River, from Lake Geneva to the Mediterranean Sea. Maximum PCB concentrations (sum of seven indicator PCBs) increase downstream, from 11.50 μg/kg at the most upstream site to 417.1 μg/kg at the most downstream site. At some sites peak concentrations occur in sediment deposited as recently as the 2000s. Hierarchical clustering (five clusters) identified differences in PCB congener profiles within and between sites. Exponential models fit to decadal time windows indicate that rapid reductions in concentrations during about 1990-2000 have slowed, and that it might be decades before target concentrations in sediment that correspond to regulatory thresholds in fish will be reached at some sites.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.01.026","usgsCitation":"Mourier, B., Desmet, M., Van Metre, P.C., Mahler, B., Perrodin, Y., Roux, G., Bedell, J., Lefebvre, L.W., and Babut, M., 2014, Historical records, sources, and spatial trends of PCBs along the Rhône River (France).: Chemosphere, v. 476-477, p. 568-576, https://doi.org/10.1016/j.scitotenv.2014.01.026.","productDescription":"9 p.","startPage":"568","endPage":"576","ipdsId":"IP-052735","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":473339,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/halsde-00944281","text":"External Repository"},{"id":358674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 4.8065185546875,\n 43.337164854911094\n ],\n [\n 4.592285156249999,\n 43.59630591596548\n ],\n [\n 4.592285156249999,\n 43.90185050527358\n ],\n [\n 4.592285156249999,\n 44.32384807250689\n ],\n [\n 4.6746826171875,\n 45.29421101337773\n ],\n [\n 4.7625732421875,\n 45.68123916702059\n ],\n [\n 4.81201171875,\n 45.78093290857323\n ],\n [\n 4.91912841796875,\n 45.826885387845664\n ],\n [\n 5.16632080078125,\n 45.83071305019327\n ],\n [\n 5.29815673828125,\n 45.87088761346192\n ],\n [\n 5.372314453125,\n 45.907211023476776\n ],\n [\n 5.55908203125,\n 45.769438866203934\n ],\n [\n 5.60028076171875,\n 45.719603972998634\n ],\n [\n 5.63873291015625,\n 45.685076832233\n ],\n [\n 5.69915771484375,\n 45.80008438131991\n ],\n [\n 5.77606201171875,\n 46.010316293096196\n ],\n [\n 5.80078125,\n 46.10180436619509\n ],\n [\n 6.04522705078125,\n 46.219752144776876\n ],\n [\n 6.1248779296875,\n 46.21785176740299\n ],\n [\n 6.15509033203125,\n 46.18363372751015\n ],\n [\n 5.968322753906249,\n 46.086566879725034\n ],\n [\n 5.86395263671875,\n 46.02938880791639\n ],\n [\n 5.817260742187499,\n 45.77135470445036\n ],\n [\n 5.72113037109375,\n 45.625563438215956\n ],\n [\n 5.597534179687499,\n 45.583289756006316\n ],\n [\n 5.38055419921875,\n 45.80008438131991\n ],\n [\n 5.204772949218749,\n 45.73685954736049\n ],\n [\n 5.0592041015625,\n 45.761774855141226\n ],\n [\n 4.88067626953125,\n 45.6658858736546\n ],\n [\n 4.88616943359375,\n 45.45820413751095\n ],\n [\n 4.85321044921875,\n 45.22461173085719\n ],\n [\n 4.866943359375,\n 45.04635929200553\n ],\n [\n 4.9163818359375,\n 44.904523389609324\n ],\n [\n 4.864196777343749,\n 44.758436211143476\n ],\n [\n 4.78179931640625,\n 44.56699093657141\n ],\n [\n 4.7515869140625,\n 44.25700308645885\n ],\n [\n 4.77081298828125,\n 44.156592967556605\n ],\n [\n 4.8504638671875,\n 44.04614157509524\n ],\n [\n 4.90814208984375,\n 43.95130472827632\n ],\n [\n 4.74609375,\n 43.830564195198264\n ],\n [\n 4.669189453125,\n 43.7492731811147\n ],\n [\n 4.7406005859375,\n 43.602272978692746\n ],\n [\n 4.888916015625,\n 43.35514118114017\n ],\n [\n 4.8065185546875,\n 43.337164854911094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"476-477","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10b7bbe4b034bf6a7ec72c","contributors":{"authors":[{"text":"Mourier, Brice","contributorId":12728,"corporation":false,"usgs":true,"family":"Mourier","given":"Brice","email":"","affiliations":[],"preferred":false,"id":749423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desmet, Marc","contributorId":89392,"corporation":false,"usgs":true,"family":"Desmet","given":"Marc","email":"","affiliations":[],"preferred":false,"id":749424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":200760,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"pcvanmet@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":749425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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2014 - Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","interactions":[],"lastModifiedDate":"2014-02-03T11:16:52","indexId":"70056316","displayToPublicDate":"2013-10-01T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","docAbstract":"Surface water flow controls water velocities, water depths, and residence times, and influences sediment and nutrient transport and other ecological processes in shallow aquatic systems. Flow through wetlands is substantially influenced by drag on vegetation stems but is also affected by microtopography. Our goal was to use microtopography data directly in a widely used wetland model while retaining the advantages of the model’s one-dimensional structure. The base simulation with no explicit treatment of microtopography only performed well for a period of high water when vegetation dominated flow resistance. Extended simulations using microtopography can improve the fit to low-water conditions substantially. The best fit simulation had a flow conductance parameter that decreased in value by 70 % during dry season such that mcrotopographic features blocked 40 % of the cross sectional width for flow. Modeled surface water became ponded and flow ceased when 85 % of the cross sectional width became blocked by microtopographic features. We conclude that vegetation drag dominates wetland flow resistance at higher water levels and microtopography dominates at low water levels with the threshold delineated by the top of microtopographic features. Our results support the practicality of predicting flow on floodplains using relatively easily measured physical and biological variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0489-7","usgsCitation":"Choi, J., and Harvey, J.W., 2014, Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain: Wetlands, v. 34, no. 1, p. 101-115, https://doi.org/10.1007/s13157-013-0489-7.","productDescription":"15 p.","startPage":"101","endPage":"115","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-051999","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":279178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0489-7"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.75,25.5 ], [ -80.75,26.5 ], [ -80.25,26.5 ], [ -80.25,25.5 ], [ -80.75,25.5 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"528c96b9e4b0c629af44ddfb","contributors":{"authors":[{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":486522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70073700,"text":"70073700 - 2014 - SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data","interactions":[],"lastModifiedDate":"2018-08-10T16:53:02","indexId":"70073700","displayToPublicDate":"2013-09-27T16:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1714,"text":"Future Generation Computer Systems","active":true,"publicationSubtype":{"id":10}},"title":"SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data","docAbstract":"We aim to inform the development of decision support tools for resource managers who need to examine large complex ecosystems and make recommendations in the face of many tradeoffs and conflicting drivers. We take a semantic technology approach, leveraging background ontologies and the growing body of linked open data. In previous work, we designed and implemented a semantically enabled environmental monitoring framework called SemantEco and used it to build a water quality portal named SemantAqua. Our previous system included foundational ontologies to support environmental regulation violations and relevant human health effects. In this work, we discuss SemantEco’s new architecture that supports modular extensions and makes it easier to support additional domains. Our enhanced framework includes foundational ontologies to support modeling of wildlife observation and wildlife health impacts, thereby enabling deeper and broader support for more holistically examining the effects of environmental pollution on ecosystems. We conclude with a discussion of how, through the application of semantic technologies, modular designs will make it easier for resource managers to bring in new sources of data to support more complex use cases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Future Generation Computer Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.future.2013.09.017","usgsCitation":"Patton, E.W., Seyed, P., Wang, P., Fu, L., Dein, F.J., Bristol, R., and McGuinness, D.L., 2014, SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data: Future Generation Computer Systems, v. 36, p. 430-440, https://doi.org/10.1016/j.future.2013.09.017.","productDescription":"11 p.","startPage":"430","endPage":"440","numberOfPages":"11","ipdsId":"IP-050938","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":281355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281354,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.future.2013.09.017"}],"volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537717d7e4b02eab8669ef0e","contributors":{"authors":[{"text":"Patton, Evan W.","contributorId":51649,"corporation":false,"usgs":true,"family":"Patton","given":"Evan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":489053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seyed, Patrice","contributorId":7618,"corporation":false,"usgs":true,"family":"Seyed","given":"Patrice","email":"","affiliations":[],"preferred":false,"id":489052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":489055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fu, Linyun","contributorId":62928,"corporation":false,"usgs":true,"family":"Fu","given":"Linyun","email":"","affiliations":[],"preferred":false,"id":489054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dein, F. Joshua fjdein@usgs.gov","contributorId":2772,"corporation":false,"usgs":true,"family":"Dein","given":"F.","email":"fjdein@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":489051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bristol, R. Sky 0000-0003-1682-4031","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":88196,"corporation":false,"usgs":true,"family":"Bristol","given":"R. Sky","affiliations":[],"preferred":false,"id":489056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuinness, Deborah L.","contributorId":98216,"corporation":false,"usgs":true,"family":"McGuinness","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489057,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048477,"text":"70048477 - 2014 - Discontinuities, cross-scale patterns, and the organization of ecosystems","interactions":[],"lastModifiedDate":"2017-02-13T14:46:48","indexId":"70048477","displayToPublicDate":"2013-09-27T13:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Discontinuities, cross-scale patterns, and the organization of ecosystems","docAbstract":"Ecological structures and processes occur at specific spatiotemporal scales, and interactions that occur across multiple scales mediate scale-specific (e.g., individual, community, local, or regional) responses to disturbance. Despite the importance of scale, explicitly incorporating a multi-scale perspective into research and management actions remains a challenge. The discontinuity hypothesis provides a fertile avenue for addressing this problem by linking measureable proxies to inherent scales of structure within ecosystems. Here we outline the conceptual framework underlying discontinuities and review the evidence supporting the discontinuity hypothesis in ecological systems. Next we explore the utility of this approach for understanding cross-scale patterns and the organization of ecosystems by describing recent advances for examining nonlinear responses to disturbance and phenomena such as extinctions, invasions, and resilience. To stimulate new research, we present methods for performing discontinuity analysis, detail outstanding knowledge gaps, and discuss potential approaches for addressing these gaps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1315.1","usgsCitation":"Nash, K.L., Allen, C.R., Angeler, D., Barichievy, C., Eason, T., Garmestani, A.S., Graham, N.A., Granholm, D., Knutson, M., Nelson, R.J., Nystrom, M., Stow, C., and Sandstrom, S.M., 2014, Discontinuities, cross-scale patterns, and the organization of ecosystems: Ecology, v. 95, no. 3, p. 654-667, https://doi.org/10.1890/13-1315.1.","productDescription":"14 p.","startPage":"654","endPage":"667","numberOfPages":"14","ipdsId":"IP-044992","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473340,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/13-1315.1","text":"External Repository"},{"id":286293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286292,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1315.1"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559007e4b0120853e8bed4","contributors":{"authors":[{"text":"Nash, Kirsty L.","contributorId":40897,"corporation":false,"usgs":true,"family":"Nash","given":"Kirsty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":484774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":484776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barichievy, Chris","contributorId":17119,"corporation":false,"usgs":true,"family":"Barichievy","given":"Chris","email":"","affiliations":[],"preferred":false,"id":484775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eason, Tarsha","contributorId":82220,"corporation":false,"usgs":true,"family":"Eason","given":"Tarsha","email":"","affiliations":[],"preferred":false,"id":484782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Nicholas A.J.","contributorId":101990,"corporation":false,"usgs":true,"family":"Graham","given":"Nicholas","email":"","middleInitial":"A.J.","affiliations":[],"preferred":false,"id":484785,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Granholm, Dean","contributorId":85087,"corporation":false,"usgs":true,"family":"Granholm","given":"Dean","email":"","affiliations":[],"preferred":false,"id":484783,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knutson, Melinda","contributorId":27929,"corporation":false,"usgs":true,"family":"Knutson","given":"Melinda","affiliations":[],"preferred":false,"id":484777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, R. John","contributorId":98215,"corporation":false,"usgs":true,"family":"Nelson","given":"R.","email":"","middleInitial":"John","affiliations":[],"preferred":false,"id":484784,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nystrom, Magnus","contributorId":36460,"corporation":false,"usgs":true,"family":"Nystrom","given":"Magnus","email":"","affiliations":[],"preferred":false,"id":484778,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":484780,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sandstrom, Shana M.","contributorId":102792,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484786,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70048425,"text":"70048425 - 2014 - Large wood budget and transport dynamics on a large river using radio telemetry","interactions":[],"lastModifiedDate":"2014-03-28T09:31:58","indexId":"70048425","displayToPublicDate":"2013-09-26T08:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Large wood budget and transport dynamics on a large river using radio telemetry","docAbstract":"Despite the abundance of large wood (LW) river studies there is still a lack of understanding of LW transport dynamics on large low gradient rivers. This study used 290 radio frequency identification tagged (RFID) LW and 54 metal (aluminum) tagged LW, to quantify the percent of in-channel LW that moves per year and what variables play a role in LW transport dynamics. Aluminum tags were installed and monitored on LW in-transit during the rising limb of a flood, the mean distance traveled by those pieces during the week was 13.3 river kilometers (km) with a maximum distance of 72 km. RFID tagged LW moved a mean of 11.9 km/yr with a maximum observed at 101.1 km/yr. Approximately 41% of LW low on the bank moves per year. The high rate of transport and distance traveled is likely due to the lack of interaction between LW floating in the channel and the channel boundaries, caused primarily by the width of the channel relative to length of the LW. Approximately 80% of the RFID tags moved past a fixed reader during the highest 20% of river stage per year. LW transport and logjam dynamics are complicated at high flows as pieces form temporary jams that continually expand and contract. Unlike most other studies, key members that create a logjam were defined more by stability than jam size or channel/hydrologic conditions. Finally, using an existing geomorphic database for the river, and data from this study, we were able to develop a comprehensive LW budget showing that 5% of the in-channel LW population turns over each year (input from mass wasting and fluvial erosion equals burial, decomposition, and export out of system) and another 16% of the population moving within the system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Surface Processes and Landforms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/esp.3463","usgsCitation":"Schenk, E.R., Moulin, B., Hupp, C.R., and Richte, J.M., 2014, Large wood budget and transport dynamics on a large river using radio telemetry: Earth Surface Processes and Landforms, v. 39, no. 4, p. 487-498, https://doi.org/10.1002/esp.3463.","productDescription":"12 p.","startPage":"487","endPage":"498","numberOfPages":"12","ipdsId":"IP-049201","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278172,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.3463"}],"country":"United States","state":"North Carolina;Virginia","otherGeospatial":"Lower Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6722,35.96 ], [ -77.6722,36.6291 ], [ -76.6828,36.6291 ], [ -76.6828,35.96 ], [ -77.6722,35.96 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-31","publicationStatus":"PW","scienceBaseUri":"5246e919e4b035b7f35addd6","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulin, Bertrand","contributorId":80160,"corporation":false,"usgs":true,"family":"Moulin","given":"Bertrand","email":"","affiliations":[],"preferred":false,"id":484621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richte, Jean M.","contributorId":25856,"corporation":false,"usgs":true,"family":"Richte","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048145,"text":"70048145 - 2014 - Climate change, fire management, and ecological services in the southwestern US","interactions":[],"lastModifiedDate":"2016-12-14T11:35:46","indexId":"70048145","displayToPublicDate":"2013-09-07T09:24:25","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Climate change, fire management, and ecological services in the southwestern US","docAbstract":"The diverse forest types of the southwestern US are inseparable from fire. Across climate zones in California, Nevada, Arizona, and New Mexico, fire suppression has left many forest types out of sync with their historic fire regimes. As a result, high fuel loads place them at risk of severe fire, particularly as fire activity increases due to climate change. A legacy of fire exclusion coupled with a warming climate has led to increasingly large and severe wildfires in many southwest forest types. Climate change projections include an extended fire season length due to earlier snowmelt and a general drying trend due to rising temperatures. This suggests the future will be warmer and drier regardless of changes in precipitation. Hotter, drier conditions are likely to increase forest flammability, at least initially. Changes in climate alone have the potential to alter the distribution of vegetation types within the region, and climate-driven shifts in vegetation distribution are likely to be accelerated when coupled with stand-replacing fire. Regardless of the rate of change, the interaction of climate and fire and their effects on Southwest ecosystems will alter the provisioning of ecosystem services, including carbon storage and biodiversity. Interactions between climate, fire, and vegetation growth provide a source of great uncertainty in projecting future fire activity in the region, as post-fire forest recovery is strongly influenced by climate and subsequent fire frequency. Severe fire can be mitigated with fuels management including prescribed fire, thinning, and wildfire management, but new strategies are needed to ensure the effectiveness of treatments across landscapes. We review the current understanding of the relationship between fire and climate in the Southwest, both historical and projected. We then discuss the potential implications of climate change for fire management and examine the potential effects of climate change and fire on ecosystem services. We conclude with an assessment of the role of fire management in an increasingly flammable Southwest.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2013.08.007","usgsCitation":"Hurteau, M.D., Bradford, J.B., Fule, P.Z., Taylor, A.H., and Martin, K.L., 2014, Climate change, fire management, and ecological services in the southwestern US: Forest Ecology and Management, v. 327, p. 280-289, https://doi.org/10.1016/j.foreco.2013.08.007.","productDescription":"10 p.","startPage":"280","endPage":"289","ipdsId":"IP-044933","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":281479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277511,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2013.08.007"}],"country":"United States","state":"Arizona;California;New Mexico;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,31.79 ], [ -124.41,42.01 ], [ -102.97,42.01 ], [ -102.97,31.79 ], [ -124.41,31.79 ] ] ] } } ] }","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5143e4b0b290850f3d33","contributors":{"authors":[{"text":"Hurteau, Matthew D.","contributorId":100660,"corporation":false,"usgs":true,"family":"Hurteau","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":483851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":483847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fule, Peter Z.","contributorId":15928,"corporation":false,"usgs":true,"family":"Fule","given":"Peter","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":483848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Alan H.","contributorId":67407,"corporation":false,"usgs":true,"family":"Taylor","given":"Alan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Katherine L.","contributorId":31672,"corporation":false,"usgs":true,"family":"Martin","given":"Katherine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483849,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046501,"text":"70046501 - 2014 - Commercial possibilities for stranded conventional gas from Alaska's North Slope","interactions":[],"lastModifiedDate":"2014-02-24T10:46:05","indexId":"70046501","displayToPublicDate":"2013-09-06T13:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Commercial possibilities for stranded conventional gas from Alaska's North Slope","docAbstract":"Stranded gas resources are defined for this study as gas resources in discrete accumulations that are not currently commercially producible, or producible at full potential, for either physical or economic reasons. Approximately 35 trillion cubic feet (TCF) of stranded gas was identified on Alaska’s North Slope. The commercialization of this resource requires facilities to transport gas to markets where sales revenue will be sufficient to offset the cost of constructing and operating a gas delivery system. With the advent of the shale gas revolution, plans for a gas pipeline to the conterminous US have been shelved (at least temporarily) and the State and resource owners are considering a liquefied natural gas (LNG) export project that targets Asian markets. This paper focuses on competitive conditions for Asian gas import markets by estimating delivered costs of competing supplies from central Asia, Russia, Indonesia, Malaysia, and Australia in the context of a range of import gas demand projections for the period from 2020 to 2040. These suppliers’ costs are based on the cost of developing, producing, and delivering to markets tranches of the nearly 600 TCF of recoverable gas from their own conventional stranded gas fields. The results of these analyses imply that Alaska’s gas exports to Asia will likely encounter substantial competitive challenges. The sustainability of Asia’s oil-indexed LNG pricing is also discussed in light of a potentially intense level of competition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9213-9","usgsCitation":"Attanasi, E., and Freeman, P., 2014, Commercial possibilities for stranded conventional gas from Alaska's North Slope: Natural Resources Research, v. 23, no. 1, p. 175-193, https://doi.org/10.1007/s11053-013-9213-9.","productDescription":"19 p.","startPage":"175","endPage":"193","numberOfPages":"19","ipdsId":"IP-042212","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277389,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9213-9"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.85,68.0 ], [ -166.85,71.39 ], [ -141.0,71.39 ], [ -141.0,68.0 ], [ -166.85,68.0 ] ] ] } } ] }","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-10","publicationStatus":"PW","scienceBaseUri":"522aeb66e4b08fd0132e7925","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, P.A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":3154,"corporation":false,"usgs":true,"family":"Freeman","given":"P.A.","email":"pfreeman@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":479722,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047928,"text":"70047928 - 2014 - Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","interactions":[],"lastModifiedDate":"2018-09-18T16:28:36","indexId":"70047928","displayToPublicDate":"2013-08-30T15:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","docAbstract":"Fluids co-produced with oil and gas production (produced waters) are often brines that contain elevated concentrations of bromide. Bromide is an important precursor of several toxic disinfection by-products (DBPs) and the treatment of produced water may lead to more brominated DBPs. To determine if wastewater treatment plants that accept produced waters discharge greater amounts of brominated DBPs, water samples were collected in Pennsylvania from four sites along a large river including an upstream site, a site below a publicly owned wastewater treatment plant (POTW) outfall (does not accept produced water), a site below an oil and gas commercial wastewater treatment plant (CWT) outfall, and downstream of the POTW and CWT. Of 29 DBPs analyzed, the site at the POTW outfall had the highest number detected (six) ranging in concentration from 0.01 to 0.09 μg L− 1 with a similar mixture of DBPs that have been detected at POTW outfalls elsewhere in the United States. The DBP profile at the CWT outfall was much different, although only two DBPs, dibromochloronitromethane (DBCNM) and chloroform, were detected, DBCNM was found at relatively high concentrations (up to 8.5 μg L− 1). The water at the CWT outfall also had a mixture of inorganic and organic precursors including elevated concentrations of bromide (75 mg L− 1) and other organic DBP precursors (phenol at 15 μg L− 1). To corroborate these DBP results, samples were collected in Pennsylvania from additional POTW and CWT outfalls that accept produced waters. The additional CWT also had high concentrations of DBCNM (3.1 μg L− 1) while the POTWs that accept produced waters had elevated numbers (up to 15) and concentrations of DBPs, especially brominated and iodinated THMs (up to 12 μg L− 1 total THM concentration). Therefore, produced water brines that have been disinfected are potential sources of DBPs along with DBP precursors to streams wherever these wastewaters are discharged.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.008","usgsCitation":"Hladik, M., Focazio, M.J., and Engle, M., 2014, Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams: Science of the Total Environment, v. 466-467, p. 1085-1093, https://doi.org/10.1016/j.scitotenv.2013.08.008.","productDescription":"9 p.","startPage":"1085","endPage":"1093","ipdsId":"IP-045051","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":277192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.008"},{"id":277215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0d2e4b001cbb8a34e8f","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":483315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":483316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":483317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70133842,"text":"70133842 - 2014 - Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","interactions":[],"lastModifiedDate":"2015-01-13T09:30:00","indexId":"70133842","displayToPublicDate":"2013-08-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3826,"text":"Urban Water Journal","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","docAbstract":"

A new sample collection system was developed to improve the representation of sediment in stormwater by integrating the entire water column. The depth-integrated sampler arm (DISA) was able to mitigate sediment stratification bias in storm water, thereby improving the characterization of particle size distribution from urban source areas. Collector streets had the lowest median particle diameter of 8 μm, followed by parking lots, arterial streets, feeder streets, and residential and mixed land use (32, 43, 50, 80 and 95 μm, respectively). Results from this study suggest there is no single distribution of particles that can be applied uniformly to runoff in urban environments; however, integrating more of the entire water column during the sample collection can address some of the shortcomings of a fixed-point sampler by reducing variability and bias caused by the stratification of solids in a water column.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1573062X.2013.820334","usgsCitation":"Selbig, W.R., 2014, Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology: Urban Water Journal, v. 12, no. 2, p. 111-119, https://doi.org/10.1080/1573062X.2013.820334.","productDescription":"9 p.","startPage":"111","endPage":"119","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045735","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":296447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"548193b9e4b0aa6d778520e4","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70112697,"text":"tm5.2.2.B - 2014 - Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","interactions":[],"lastModifiedDate":"2021-05-27T14:01:14.644066","indexId":"tm5.2.2.B","displayToPublicDate":"2013-08-18T09:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5.2.2.B","title":"Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","docAbstract":"This section of chapter 5 of the National Field Manual for the Collection of Water-Quality Data (NFM) describes the field procedures for collecting small-volume samples using a syringe-tip filtration method. The samples are sent to the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) for analysis of organic compounds by direct aqueous injection high-performance liquid chromatography/tandem mass spectrometry (DAI LC-MS/MS).\n\nThe DAI LC-MS/MS method was developed specifically for NWQL analytical schedules 2437 (pesticides) and 2440 (pharmaceuticals) and should not be considered transferrable or applicable to other types of samples to be analyzed using methods other than those that use DAI LC-MS/MS or other tandem mass\nspectrometry methods.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm5.2.2.B","usgsCitation":"Sandstrom, M.W., and Wilde, F.D., 2014, Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS (Version 3.1): U.S. Geological Survey Techniques and Methods 5.2.2.B, 10 p., https://doi.org/10.3133/tm5.2.2.B.","productDescription":"10 p.","onlineOnly":"Y","ipdsId":"IP-057027","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":292359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":292345,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/owq/FieldManual/chapter5/pdf/5.2.2.B.pdf"}],"edition":"Version 3.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f25fdae4b03334187188fc","contributors":{"authors":[{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":494841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":494842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047589,"text":"70047589 - 2014 - Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","interactions":[],"lastModifiedDate":"2013-08-26T11:43:19","indexId":"70047589","displayToPublicDate":"2013-08-13T13:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","docAbstract":"Application of numerical models is a common practice in the environmental field for investigation and prediction of natural and anthropogenic processes. However, process knowledge, parameter identifiability, sensitivity, and uncertainty analyses are still a challenge for large and complex mathematical models such as the hydrological/water quality model, Soil and Water Assessment Tool (SWAT). In this study, the previously developed R program language-SWAT-Flexible Modeling Environment (R-SWAT-FME) was improved to support multiple model variables and objectives at multiple time steps (i.e., daily, monthly, and annually). This expansion is significant because there is usually more than one variable (e.g., water, nutrients, and pesticides) of interest for environmental models like SWAT. To further facilitate its easy use, we also simplified its application requirements without compromising its merits, such as the user-friendly interface. To evaluate the performance of the improved framework, we used a case study focusing on both streamflow and nitrate nitrogen in the Upper Iowa River Basin (above Marengo) in the United States. Results indicated that the R-SWAT-FME performs well and is comparable to the built-in auto-calibration tool in multi-objective model calibration. Overall, the enhanced R-SWAT-FME can be useful for the SWAT community, and the methods we used can also be valuable for wrapping potential R packages with other environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.048","usgsCitation":"Wu, Y., and Liu, S., 2014, Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions: Science of the Total Environment, v. 466-467, p. 455-466, https://doi.org/10.1016/j.scitotenv.2013.07.048.","productDescription":"12 p.","startPage":"455","endPage":"466","ipdsId":"IP-044026","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.048"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067dac","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":482475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047499,"text":"70047499 - 2014 - An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming","interactions":[],"lastModifiedDate":"2013-08-08T09:45:17","indexId":"70047499","displayToPublicDate":"2013-08-08T09:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming","docAbstract":"Despite widespread recognition that social-value information is needed to inform stakeholders and decision makers regarding trade-offs in environmental management, it too often remains absent from ecosystem service assessments. Although quantitative indicators of social values need to be explicitly accounted for in the decision-making process, they need not be monetary. Ongoing efforts to map such values demonstrate how they can also be made spatially explicit and relatable to underlying ecological information. We originally developed Social Values for Ecosystem Services (SolVES) as a tool to assess, map, and quantify nonmarket values perceived by various groups of ecosystem stakeholders. With SolVES 2.0 we have extended the functionality by integrating SolVES with Maxent maximum entropy modeling software to generate more complete social-value maps from available value and preference survey data and to produce more robust models describing the relationship between social values and ecosystems. The current study has two objectives: (1) evaluate how effectively the value index, a quantitative, nonmonetary social-value indicator calculated by SolVES, reproduces results from more common statistical methods of social-survey data analysis and (2) examine how the spatial results produced by SolVES provide additional information that could be used by managers and stakeholders to better understand more complex relationships among stakeholder values, attitudes, and preferences. To achieve these objectives, we applied SolVES to value and preference survey data collected for three national forests, the Pike and San Isabel in Colorado and the Bridger–Teton and the Shoshone in Wyoming. Value index results were generally consistent with results found through more common statistical analyses of the survey data such as frequency, discriminant function, and correlation analyses. In addition, spatial analysis of the social-value maps produced by SolVES provided information that was useful for explaining relationships between stakeholder values and forest uses. Our results suggest that SolVES can effectively reproduce information derived from traditional statistical analyses while adding spatially explicit, social-value information that can contribute to integrated resource assessment, planning, and management of forests and other ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.07.008","usgsCitation":"Sherrouse, B.C., Semmens, D.J., and Clement, J.M., 2014, An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming: Ecological Indicators, v. 36, p. 68-79, https://doi.org/10.1016/j.ecolind.2013.07.008.","productDescription":"12 p.","startPage":"68","endPage":"79","ipdsId":"IP-039048","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":276196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276195,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2013.07.008"}],"country":"United States","state":"Colorado;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,36.99 ], [ -111.0569,45.0059 ], [ -102.04,45.0059 ], [ -102.04,36.99 ], [ -111.0569,36.99 ] ] ] } } ] }","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afcfe4b0403aa626299e","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clement, Jessica M.","contributorId":86105,"corporation":false,"usgs":true,"family":"Clement","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}