{"pageNumber":"587","pageRowStart":"14650","pageSize":"25","recordCount":68919,"records":[{"id":70171461,"text":"70171461 - 2013 - Impact of valley fills on streamside salamanders in southern West Virginia","interactions":[],"lastModifiedDate":"2016-05-31T15:27:11","indexId":"70171461","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Impact of valley fills on streamside salamanders in southern West Virginia","docAbstract":"<p><span>Valley fills associated with mountaintop-removal mining bury stream headwaters and affect water quality and ecological function of reaches below fills. We quantified relative abundance of streamside salamanders in southern West Virginia during 2002 in three streams below valley fills (VFS) and in three reference streams (RS). We surveyed 36 10- &times; 2-m stream transects, once in summer and fall, paired by order and structure. Of 2,343 salamanders captured, 66.7% were from RS. Total salamanders (adults plus larvae) were more abundant in RS than VFS for first-order and second-order reaches. Adult salamanders had greater abundance in first-order reaches of RS than VFS. Larval salamanders were more abundant in second-order reaches of RS than VFS. No stream width or mesohabitat variables differed between VFS and RS. Only two cover variables differed. Silt cover, greater in VFS than RS first-order reaches, is a likely contributor to reduced abundance of salamanders in VFS. Second-order RS had more boulder cover than second-order VFS, which may have contributed to the higher total and larval salamander abundance in RS. Water chemistry assessments of our VFS and RS reported elevated levels of metal and ion concentrations in VFS, which can depress macroinvertebrate populations and likely affect salamander abundance. Valley fills appear to have significant negative effects on stream salamander abundance due to alterations in habitat structure, water quality and chemistry, and macroinvertebrate communities in streams below fills.</span></p>","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/11-187","usgsCitation":"Wood, P.B., and Williams, J.M., 2013, Impact of valley fills on streamside salamanders in southern West Virginia: Journal of Herpetology, v. 47, no. 1, p. 119-125, https://doi.org/10.1670/11-187.","productDescription":"7 p.","startPage":"119","endPage":"125","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031251","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","volume":"47","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574eb5d0e4b0ee97d51a83cc","contributors":{"authors":[{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":631079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Jennifer M.","contributorId":169811,"corporation":false,"usgs":false,"family":"Williams","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":631108,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171456,"text":"70171456 - 2013 - The overlooked terrestrial impacts of mountaintop mining","interactions":[],"lastModifiedDate":"2016-05-31T15:55:00","indexId":"70171456","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The overlooked terrestrial impacts of mountaintop mining","docAbstract":"<p><span>Ecological research on mountaintop mining has been focused on aquatic impacts because the overburden (i.e., the mountaintop) is disposed of in nearby valleys, which leads to a wide range of water-quality impacts on streams. There are also numerous impacts on the terrestrial environment from mountaintop mining that have been largely overlooked, even though they are no less wide ranging, severe, and multifaceted. We review the impacts of mountaintop mining on the terrestrial environment by exploring six broad themes: (1) the loss of topographic complexity, (2) forest loss and fragmentation, (3) forest succession and soil loss, (4) forest loss and carbon sequestration, (5) biodiversity, and (6) human health and well-being.</span></p>","language":"English","publisher":"Oxfords Journals","doi":"10.1525/bio.2013.63.5.7","usgsCitation":"Wickham, J., Wood, P.B., Nicholson, M.C., Jenkins, W., Druckenbrod, D., Suter, G., Strager, M.P., Mazzarella, C., Galloway, W., and Amos, J., 2013, The overlooked terrestrial impacts of mountaintop mining: BioScience, v. 63, no. 5, p. 335-348, https://doi.org/10.1525/bio.2013.63.5.7.","productDescription":"14 p.","startPage":"335","endPage":"348","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038551","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2013.63.5.7","text":"Publisher Index Page"},{"id":321949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574eb5dde4b0ee97d51a840e","contributors":{"authors":[{"text":"Wickham, James","contributorId":140259,"corporation":false,"usgs":false,"family":"Wickham","given":"James","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":631137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":631068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Matthew C.","contributorId":169813,"corporation":false,"usgs":false,"family":"Nicholson","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":631138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, William","contributorId":169814,"corporation":false,"usgs":false,"family":"Jenkins","given":"William","affiliations":[],"preferred":false,"id":631139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Druckenbrod, Daniel","contributorId":169815,"corporation":false,"usgs":false,"family":"Druckenbrod","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":631140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suter, Glenn W.","contributorId":169816,"corporation":false,"usgs":false,"family":"Suter","given":"Glenn W.","affiliations":[],"preferred":false,"id":631141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strager, Michael P.","contributorId":169817,"corporation":false,"usgs":false,"family":"Strager","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":631142,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mazzarella, Christine","contributorId":169818,"corporation":false,"usgs":false,"family":"Mazzarella","given":"Christine","email":"","affiliations":[],"preferred":false,"id":631143,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Galloway, Walter","contributorId":169819,"corporation":false,"usgs":false,"family":"Galloway","given":"Walter","email":"","affiliations":[],"preferred":false,"id":631144,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Amos, John","contributorId":169820,"corporation":false,"usgs":false,"family":"Amos","given":"John","email":"","affiliations":[],"preferred":false,"id":631145,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70173692,"text":"70173692 - 2013 - Identification and specialization as a waterfowl hunter","interactions":[],"lastModifiedDate":"2016-06-07T14:25:45","indexId":"70173692","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2612,"text":"Leisure Science","active":true,"publicationSubtype":{"id":10}},"title":"Identification and specialization as a waterfowl hunter","docAbstract":"<p><span>Like specialization, identity offers a way for differentiating and understanding recreationists and for gaining insight into the question of participant progression in an activity. We examined how identity related to measures of specialization among lapsed and current waterfowl hunters. Lapsed hunters included those who had purchased a Minnesota waterfowl stamp between 2000 and 2004, but not since this time. Current hunters had purchased a 2010 stamp. Results suggested that some waterfowl hunters specialize and progress toward a waterfowl-hunter identity. Others, however, either hunt for years but never specialize and identify as waterfowl hunters, or move toward but do not attain a waterfowl hunter identity. Individuals who achieve a waterfowl hunter identity may also later relinquish this identity. Identification was associated with increased specialization and resistance to change from a preference for waterfowl hunting. Individuals who had relinquished their identity retained social and knowledge-based commitment to waterfowl hunting, whereas attraction and centrality declined.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/01490400.2013.780511","usgsCitation":"Schroeder, S., Fulton, D.C., Lawrence, J.S., and Cordts, S.D., 2013, Identification and specialization as a waterfowl hunter: Leisure Science, v. 35, no. 3, p. 218-234, https://doi.org/10.1080/01490400.2013.780511.","productDescription":"17 p.","startPage":"218","endPage":"234","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036427","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f036e4b04f417c24da9d","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":637555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Jeffrey S.","contributorId":171470,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordts, Steven D.","contributorId":171471,"corporation":false,"usgs":false,"family":"Cordts","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637557,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155070,"text":"70155070 - 2013 - Quantitative and qualitative approaches to identifying migration chronology in a continental migrant","interactions":[],"lastModifiedDate":"2015-08-05T13:01:35","indexId":"70155070","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative and qualitative approaches to identifying migration chronology in a continental migrant","docAbstract":"<p>The degree to which extrinsic factors influence migration chronology in North American waterfowl has not been quantified, particularly for dabbling ducks. Previous studies have examined waterfowl migration using various methods, however, quantitative approaches to define avian migration chronology over broad spatio-temporal scales are limited, and the implications for using different approaches have not been assessed. We used movement data from 19 female adult mallards (Anas platyrhynchos) equipped with solar-powered global positioning system satellite transmitters to evaluate two individual level approaches for quantifying migration chronology. The first approach defined migration based on individual movements among geopolitical boundaries (state, provincial, international), whereas the second method modeled net displacement as a function of time using nonlinear models. Differences in migration chronologies identified by each of the approaches were examined with analysis of variance. The geopolitical method identified mean autumn migration midpoints at 15 November 2010 and 13 November 2011, whereas the net displacement method identified midpoints at 15 November 2010 and 14 November 2011. The mean midpoints for spring migration were 3 April 2011 and 20 March 2012 using the geopolitical method and 31 March 2011 and 22 March 2012 using the net displacement method. The duration, initiation date, midpoint, and termination date for both autumn and spring migration did not differ between the two individual level approaches. Although we did not detect differences in migration parameters between the different approaches, the net displacement metric offers broad potential to address questions in movement ecology for migrating species. Ultimately, an objective definition of migration chronology will allow researchers to obtain a comprehensive understanding of the extrinsic factors that drive migration at the individual and population levels. As a result, targeted conservation plans can be developed to support planning for habitat management and evaluation of long-term climate effects.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0075673","usgsCitation":"Beatty, W.S., Kesler, D.C., Webb, E.B., Raedeke, A.H., Naylor, L.W., and Humburg, D.D., 2013, Quantitative and qualitative approaches to identifying migration chronology in a continental migrant: PLoS ONE, p. 1-9, https://doi.org/10.1371/journal.pone.0075673.","productDescription":"e75673; 9 p.","startPage":"1","endPage":"9","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-09-01","temporalEnd":"2012-12-31","ipdsId":"IP-045956","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0075673","text":"Publisher Index Page"},{"id":306440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-09","publicationStatus":"PW","scienceBaseUri":"57f7f1d6e4b0bc0bec0a0024","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567387,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70094927,"text":"70094927 - 2013 - Biological effects-based tools for monitoring impacted surface waters in the Great Lakes: a multiagency program in support of the Great Lakes Restoration Initiative","interactions":[],"lastModifiedDate":"2014-06-04T13:34:08","indexId":"70094927","displayToPublicDate":"2013-12-31T12:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1559,"text":"Environmental Practice","active":true,"publicationSubtype":{"id":10}},"title":"Biological effects-based tools for monitoring impacted surface waters in the Great Lakes: a multiagency program in support of the Great Lakes Restoration Initiative","docAbstract":"There is increasing demand for the implementation of effects-based monitoring and surveillance (EBMS) approaches in the Great Lakes Basin to complement traditional chemical monitoring. Herein, we describe an ongoing multiagency effort to develop and implement EBMS tools, particularly with regard to monitoring potentially toxic chemicals and assessing Areas of Concern (AOCs), as envisioned by the Great Lakes Restoration Initiative (GLRI). Our strategy includes use of both targeted and open-ended/discovery techniques, as appropriate to the amount of information available, to guide a priori end point and/or assay selection. Specifically, a combination of in vivo and in vitro tools is employed by using both wild and caged fish (in vivo), and a variety of receptor- and cell-based assays (in vitro). We employ a work flow that progressively emphasizes in vitro tools for long-term or high-intensity monitoring because of their greater practicality (e.g., lower cost, labor) and relying on in vivo assays for initial surveillance and verification. Our strategy takes advantage of the strengths of a diversity of tools, balancing the depth, breadth, and specificity of information they provide against their costs, transferability, and practicality. Finally, a series of illustrative scenarios is examined that align EBMS options with management goals to illustrate the adaptability and scaling of EBMS approaches and how they can be used in management decisions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Practice","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/S1466046613000458","usgsCitation":"Ekman, D.R., Ankley, G., Blazer, V., Collette, T., Garcia-Reyero, N., Iwanowicz, L., Jorgensen, Z.G., Lee, K., Mazik, P.M., Miller, D.H., Perkins, E.J., Smith, E.T., Tietge, J.E., and Villeneuve, D.L., 2013, Biological effects-based tools for monitoring impacted surface waters in the Great Lakes: a multiagency program in support of the Great Lakes Restoration Initiative: Environmental Practice, v. 15, no. 04, p. 409-426, https://doi.org/10.1017/S1466046613000458.","productDescription":"18 p.","startPage":"409","endPage":"426","numberOfPages":"18","ipdsId":"IP-049046","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":288080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288079,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S1466046613000458"}],"country":"Canada;United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.82,40.37 ], [ -92.82,49.95 ], [ -74.74,49.95 ], [ -74.74,40.37 ], [ -92.82,40.37 ] ] ] } } ] }","volume":"15","issue":"04","noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"53903fe6e4b04eea98bf84f8","contributors":{"authors":[{"text":"Ekman, Drew R.","contributorId":12785,"corporation":false,"usgs":true,"family":"Ekman","given":"Drew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":490972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankley, Gerald T.","contributorId":67382,"corporation":false,"usgs":true,"family":"Ankley","given":"Gerald T.","affiliations":[],"preferred":false,"id":490978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collette, Timothy W.","contributorId":15936,"corporation":false,"usgs":true,"family":"Collette","given":"Timothy W.","affiliations":[],"preferred":false,"id":490973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia-Reyero, Natàlia","contributorId":6572,"corporation":false,"usgs":true,"family":"Garcia-Reyero","given":"Natàlia","affiliations":[],"preferred":false,"id":490970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":490971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgensen, Zachary G.","contributorId":50827,"corporation":false,"usgs":true,"family":"Jorgensen","given":"Zachary","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":490977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":490969,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mazik, Pat M.","contributorId":32090,"corporation":false,"usgs":true,"family":"Mazik","given":"Pat","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490975,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, David H.","contributorId":71100,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":490979,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Perkins, Edward J.","contributorId":89063,"corporation":false,"usgs":false,"family":"Perkins","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":26924,"text":"USArmy Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":490980,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Edwin T.","contributorId":104816,"corporation":false,"usgs":true,"family":"Smith","given":"Edwin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":490981,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tietge, Joseph E.","contributorId":27363,"corporation":false,"usgs":true,"family":"Tietge","given":"Joseph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490974,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":490976,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70095248,"text":"70095248 - 2013 - Increased piscivory by lake whitefish in Lake Huron","interactions":[],"lastModifiedDate":"2016-08-31T14:16:17","indexId":"70095248","displayToPublicDate":"2013-12-31T09:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Increased piscivory by lake whitefish in Lake Huron","docAbstract":"<p><span>We evaluated the diet of Lake Whitefish&nbsp;</span><i>Coregonus clupeaformis</i><span>&nbsp;in Lake Huron during 2002&ndash;2011 to determine the importance of Round Goby&nbsp;</span><i>Neogobius melanostomus</i><span>&nbsp;and other fish as prey items. Lake Whitefish that had reached approximately 400&nbsp;mm in length incorporated fish into their diets. The overall percentage of adult Lake Whitefish in Lake Huron that had eaten fish increased from 10% in 2002&ndash;2006 to 20% in 2007&ndash;2011, with a corresponding decrease in the frequency of Lake Whitefish that ate&nbsp;</span><i>Dreissena</i><span>&nbsp;spp. from 52% to 33%. During 2002&ndash;2006, Round Goby (wet mass, 38%), sculpins (Cottidae) (34%), and Ninespine Stickleback&nbsp;</span><i>Pungitius pungitius</i><span>&nbsp;(18%) were the primary fish eaten, whereas Round Goby accounted for 92% of the fish eaten in 2007&ndash;2011. Overall, Round Goby were found in the fewest Lake Whitefish stomachs in the north region of Lake Huron (6%) and in the most in the central (23%) and south (19%) regions of the lake. In the central region, Round Goby were eaten during all seasons that were sampled (spring through fall). In the south region, Round Goby were eaten only in the winter and spring but not in the summer when&nbsp;</span><i>Dreissena</i><span>&nbsp;spp. and spiny water flea&nbsp;</span><i>Bythotrephes longimanus</i><span>&nbsp;dominated the diet. Based on the 2007&ndash;2011 diet composition, an individual Lake Whitefish would need to have increased their consumption relative to that in 1983&ndash;1994 by 6% in the north region, 12% in the central region, and 41% in the southern region in order to achieve the same growth that was observed before dreissenid mussels arrived. However, Lake Whitefish weight adjusted for length only increased by 2% between 2002&ndash;2006 and 2007&ndash;2011 in the central region, decreased by 4% in the northern region, and remained constant in the southern region. This suggests that a shift toward more frequent piscivory does not necessarily improve the condition of a generalist feeder like Lake Whitefish.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.839973","usgsCitation":"Pothoven, S.A., and Madenjian, C.P., 2013, Increased piscivory by lake whitefish in Lake Huron: North American Journal of Fisheries Management, v. 33, no. 6, p. 1194-1202, https://doi.org/10.1080/02755947.2013.839973.","productDescription":"10 p.","startPage":"1194","endPage":"1202","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051157","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":283137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283136,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.839973"}],"otherGeospatial":"Lake 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,{"id":70189084,"text":"70189084 - 2013 - Formation of a low-crystalline Zn-silicate in a stream in SW Sardinia, Italy","interactions":[],"lastModifiedDate":"2019-12-21T08:15:10","indexId":"70189084","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Formation of a low-crystalline Zn-silicate in a stream in SW Sardinia, Italy","docAbstract":"<p><span>n southwestern Sardinia, Italy, the Rio Naracauli drains a catchment that includes several abandoned mines. The drainage from the mines and associated waste rocks has led to extreme concentrations of dissolved Zn, but because of the near-neutral pH, concentrations of other metals remain low. In the reach from approximately 2300 to 3000 m downstream from the headwaters area, an amorphous Zn-silicate precipitates from the water. In this reach, concentrations of both Zn and silica remain nearly constant, but the loads (measured in mass/time) of both increase, suggesting that new Zn and silica are supplied to the stream, likely from emerging groundwater. Zinc isotope signatures of the solid are heavier than the dissolved Zn by about 0.5 permil in&nbsp;</span><sup>66/64</sup><span>Zn, suggesting that an extracellular biologically mediated adsorption process may be involved in the formation of the Zn-silicate.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2013.03.030","usgsCitation":"Wanty, R.B., De Giudici, G., Onnis, P., Rutherford, D., Kimball, B.A., Podda, F., Cidu, R., Lattanzi, P., and Medas, D., 2013, Formation of a low-crystalline Zn-silicate in a stream in SW Sardinia, Italy: Procedia Earth and Planetary Science, v. 7, p. 888-891, https://doi.org/10.1016/j.proeps.2013.03.030.","productDescription":"4 p.","startPage":"888","endPage":"891","ipdsId":"IP-041715","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2013.03.030","text":"Publisher Index Page"},{"id":343195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Sardinia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              8.0859375,\n              38.805470223177466\n            ],\n            [\n              9.865722656249998,\n              38.805470223177466\n            ],\n            [\n              9.865722656249998,\n              41.19518982948959\n            ],\n            [\n              8.0859375,\n              41.19518982948959\n            ],\n            [\n              8.0859375,\n              38.805470223177466\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067c1","contributors":{"authors":[{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Giudici, G.","contributorId":147318,"corporation":false,"usgs":false,"family":"De Giudici","given":"G.","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":702955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Onnis, P.","contributorId":194030,"corporation":false,"usgs":false,"family":"Onnis","given":"P.","affiliations":[],"preferred":false,"id":702956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutherford, D.","contributorId":87347,"corporation":false,"usgs":true,"family":"Rutherford","given":"D.","email":"","affiliations":[],"preferred":false,"id":702957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimball, B. A.","contributorId":87583,"corporation":false,"usgs":false,"family":"Kimball","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Podda, F.","contributorId":89074,"corporation":false,"usgs":false,"family":"Podda","given":"F.","affiliations":[],"preferred":false,"id":702959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cidu, R.","contributorId":22708,"corporation":false,"usgs":true,"family":"Cidu","given":"R.","affiliations":[],"preferred":false,"id":702960,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lattanzi, P.","contributorId":40034,"corporation":false,"usgs":true,"family":"Lattanzi","given":"P.","affiliations":[],"preferred":false,"id":702961,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Medas, D.","contributorId":108421,"corporation":false,"usgs":true,"family":"Medas","given":"D.","affiliations":[],"preferred":false,"id":702962,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193840,"text":"70193840 - 2013 - Stainless-steel wires exclude gulls from a wastewater treatment plant","interactions":[],"lastModifiedDate":"2017-11-08T10:15:58","indexId":"70193840","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2136,"text":"Journal - American Water Works Association","active":true,"publicationSubtype":{"id":10}},"title":"Stainless-steel wires exclude gulls from a wastewater treatment plant","docAbstract":"<div class=\"label-title\"><br></div><div class=\"desc\">There is growing concern about the prevalence of pathogens and antibiotic-resistant bacteria in the environment and the role wildlife plays in their transmission and dissemination. Gulls feeding at wastewater treatment plants may provide a route for transmission of pathogens and bacteria to public water supplies or other critical areas. The authors identified gulls routinely feeding at a wastewater treatment plant in Millbury, Mass., and tested the effectiveness of overhead stainless-steel wires in excluding gulls from the plant. The number of gulls in certainstructures was compared before and after wiring and during an experimental approach using simultaneous treatments and controls. Stainless-steel wires spaced at 0.9-3.3 m (3-10 ft) effectively prevented gulls from using treatment structures (p &lt; 0.0001) and were effective for &gt; 24 months. Materials costs to wire all structures was about $5,700, and labor costs were $4,020. Overhead stainless-steel wires can provide a long-term, cost-efficient method of excluding ring-billed gulls from wastewater treatment plants.</div>","language":"English","publisher":"American Water Works Association","doi":"10.5942/jawwa.2013.105.0118","usgsCitation":"Clark, D.E., Koenen, K.K., MacKenzie, K.G., Pereira, J.W., and DeStefano, S., 2013, Stainless-steel wires exclude gulls from a wastewater treatment plant: Journal - American Water Works Association, v. 105, no. 10, p. E609-E618, https://doi.org/10.5942/jawwa.2013.105.0118.","productDescription":"10 p.","startPage":"E609","endPage":"E618","ipdsId":"IP-043821","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Millbury","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.82775497436522,\n              42.13947756370087\n            ],\n            [\n              -71.68012619018555,\n              42.13947756370087\n            ],\n            [\n              -71.68012619018555,\n              42.24262500380012\n            ],\n            [\n              -71.82775497436522,\n              42.24262500380012\n            ],\n            [\n              -71.82775497436522,\n              42.13947756370087\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425c7e4b0dc0b45b4542b","contributors":{"authors":[{"text":"Clark, Daniel E.","contributorId":166686,"corporation":false,"usgs":false,"family":"Clark","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenen, Kiana K. G.","contributorId":34313,"corporation":false,"usgs":true,"family":"Koenen","given":"Kiana","email":"","middleInitial":"K. G.","affiliations":[],"preferred":false,"id":721015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Kenneth G.","contributorId":166688,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pereira, Jillian W.","contributorId":171609,"corporation":false,"usgs":false,"family":"Pereira","given":"Jillian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720634,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192414,"text":"70192414 - 2013 - Rapid chemical evolution of tropospheric volcanic emissions from Redoubt Volcano, Alaska, based on observations of ozone and halogen-containing gases","interactions":[],"lastModifiedDate":"2017-10-25T15:11:01","indexId":"70192414","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Rapid chemical evolution of tropospheric volcanic emissions from Redoubt Volcano, Alaska, based on observations of ozone and halogen-containing gases","docAbstract":"<p><span>We report results from an observational and modeling study of reactive chemistry in the tropospheric plume emitted by Redoubt Volcano, Alaska. Our measurements include the first observations of Br and I degassing from an Alaskan volcano, the first study of O</span><sub>3</sub><span><span>&nbsp;</span>evolution in a volcanic plume, as well as the first detection of BrO in the plume of a passively degassing Alaskan volcano. This study also represents the first detailed spatially-resolved comparison of measured and modeled O</span><sub>3</sub><span><span>&nbsp;</span>depletion in a volcanic plume. The composition of the plume was measured on June 20, 2010 using base-treated filter packs (for F, Cl, Br, I, and S) at the crater rim and by an instrumented fixed-wing aircraft on June 21 and August 19, 2010. The aircraft was used to track the chemical evolution of the plume up to ~</span><span>&nbsp;</span><span>30</span><span>&nbsp;</span><span>km downwind (2</span><span>&nbsp;</span><span>h plume travel time) from the volcano and was equipped to make in situ observations of O</span><sub>3</sub><span>, water vapor, CO</span><sub>2</sub><span>, SO</span><sub>2</sub><span>, and H</span><sub>2</sub><span>S during both flights plus remote spectroscopic observations of SO</span><sub>2</sub><span><span>&nbsp;</span>and BrO on the August 19th flight. The airborne data from June 21 reveal rapid chemical O</span><sub>3</sub><span><span>&nbsp;</span>destruction in the plume as well as the strong influence chemical heterogeneity in background air had on plume composition. Spectroscopic retrievals from airborne traverses made under the plume on August 19 show that BrO was present ~</span><span>&nbsp;</span><span>6</span><span>&nbsp;</span><span>km downwind (20</span><span>&nbsp;</span><span>min plume travel time) and in situ measurements revealed several ppbv of O</span><sub>3</sub><span><span>&nbsp;</span>loss near the center of the plume at a similar location downwind. Simulations with the<span>&nbsp;</span></span><i>PlumeChem</i><span><span>&nbsp;</span>model reproduce the timing and magnitude of the observed O</span><sub>3</sub><span><span>&nbsp;</span>deficits and suggest that autocatalytic release of reactive bromine and in-plume formation of BrO were primarily responsible for the observed O</span><sub>3</sub><span><span>&nbsp;</span>destruction in the plume. The measurements are therefore in general agreement with recent model studies of reactive halogen formation in volcanic plumes, but also show that field studies must pay close attention to variations in the composition of ambient air entrained into volcanic plumes in order to unambiguously attribute observed O</span><sub>3</sub><span><span>&nbsp;</span>anomalies to specific chemical or dynamic processes. Our results suggest that volcanic eruptions in Alaska are sources of reactive halogen species to the subarctic troposphere.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.04.023","usgsCitation":"Werner, C.A., Kelly, P.J., Kern, C., Roberts, T., and Aluppe, A., 2013, Rapid chemical evolution of tropospheric volcanic emissions from Redoubt Volcano, Alaska, based on observations of ozone and halogen-containing gases: Journal of Volcanology and Geothermal Research, v. 259, p. 317-333, https://doi.org/10.1016/j.jvolgeores.2012.04.023.","productDescription":"17 p.","startPage":"317","endPage":"333","ipdsId":"IP-035796","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473392,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10447/99077","text":"External Repository"},{"id":347388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154,\n              59\n            ],\n            [\n              -149,\n              59\n            ],\n            [\n              -149,\n              62\n            ],\n            [\n              -154,\n              62\n            ],\n            [\n              -154,\n              59\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"259","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a9e4b0220bbd9d9fa8","contributors":{"authors":[{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":715747,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715746,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, T.J.","contributorId":198344,"corporation":false,"usgs":false,"family":"Roberts","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":715748,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Aluppe, A.","contributorId":198341,"corporation":false,"usgs":false,"family":"Aluppe","given":"A.","email":"","affiliations":[],"preferred":false,"id":715745,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70192252,"text":"70192252 - 2013 - Thermal tolerance of meltwater stonefly Lednia tumana nymphs from an alpine stream in Waterton–Glacier International Peace Park, Montana, USA","interactions":[],"lastModifiedDate":"2017-10-24T11:43:02","indexId":"70192252","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Thermal tolerance of meltwater stonefly <i>Lednia tumana</i> nymphs from an alpine stream in Waterton–Glacier International Peace Park, Montana, USA","title":"Thermal tolerance of meltwater stonefly Lednia tumana nymphs from an alpine stream in Waterton–Glacier International Peace Park, Montana, USA","docAbstract":"<p>Global climate change threatens to affect negatively the structure, function, and diversity of aquatic ecosystems worldwide. In alpine systems, the thermal tolerances of stream invertebrates can be assessed to understand better the potential effects of rising ambient temperatures and continued loss of glaciers and snowpack on alpine stream ecosystems. We measured the critical thermal maximum (CTM) and lethal temperature maximum (LTM) of the meltwater stonefly (<i>Lednia tumana</i>), a species limited to glacial and snowmelt-driven alpine streams in the Waterton–Glacier International Peace Park area and a candidate for listing under the US Endangered Species Act. We collected<i> L. tumana</i> nymphs from Lunch Creek in Glacier National Park, Montana (USA) and transported them to a laboratory at the University of Montana Flathead Lake Biological Station, Polson, Montana. We placed nymphs in a controlled water bath at 1 of 2 acclimation temperatures, 8.5 and 15°C. We increased water temperature at a constant rate of 0.3°C/min. We calculated the average CTM and LTM (± SD) for each acclimation temperature and compared them with Student’s t-tests. Predicted chronic temperature maxima were determined using the ⅓ rule. Mean LTMs were 32.3 ± 0.28°C and 31.05 ± 0.78°C in the 8.5 and 15°C acclimation treatments, respectively. CTM and LTM metrics were lower in the 15 than in the 8.5°C acclimation treatment, but these differences were not statistically significant (p &gt; 0.05). The predicted chronic temperature maxima were 20.6 and 20.2°C for the 8.5 and 15°C acclimation treatments, respectively. More research is needed on the effects of chronic exposures to rising stream temperatures, but our results can be used to assess the potential effects of warming water temperatures on <i>L. tumana</i> and other aquatic macroinvertebrates in alpine ecosystems.</p>","language":"English","publisher":"Society for Freshwater Science","doi":"10.1899/12-100.1","usgsCitation":"Billman, H.G., Giersch, J., Kappenman, K., Muhlfeld, C.C., and Webb, M.A., 2013, Thermal tolerance of meltwater stonefly Lednia tumana nymphs from an alpine stream in Waterton–Glacier International Peace Park, Montana, USA: Freshwater Science, v. 32, no. 2, p. 597-605, https://doi.org/10.1899/12-100.1.","productDescription":"9 p.","startPage":"597","endPage":"605","ipdsId":"IP-041125","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.0433349609375,\n              49.01085236926213\n            ],\n            [\n              -114.78515624999999,\n              48.75075629617738\n            ],\n            [\n              -114.69177246093749,\n              48.75437800586312\n            ],\n            [\n              -114.4061279296875,\n              48.45288728338137\n            ],\n            [\n              -114.14794921874999,\n              48.39091404578957\n            ],\n            [\n              -114.05456542968749,\n              48.01013769851873\n            ],\n            [\n              -114.05456542968749,\n              47.892406101169264\n            ],\n            [\n              -113.74969482421874,\n              47.83159592699297\n            ],\n            [\n              -113.77166748046875,\n              47.52461999690651\n            ],\n            [\n              -113.62335205078125,\n              47.42437092240519\n            ],\n            [\n              -113.29925537109375,\n              47.22702939886733\n            ],\n            [\n              -112.68127441406249,\n              47.336961408985005\n            ],\n            [\n              -112.74719238281249,\n              47.83712707236855\n            ],\n            [\n              -112.69226074218749,\n              48.04320138974932\n            ],\n            [\n              -112.74169921874999,\n              48.07257353224749\n            ],\n            [\n              -112.78564453124999,\n              48.10559716402152\n            ],\n            [\n              -112.862548828125,\n              48.13126755117028\n            ],\n            [\n              -112.91748046874999,\n              48.16058943132619\n            ],\n            [\n              -112.92846679687499,\n              48.244796538712336\n            ],\n            [\n              -113.25805664062499,\n              48.42737804207513\n            ],\n            [\n              -113.4283447265625,\n              48.743512093586844\n            ],\n            [\n              -113.6151123046875,\n              48.94595514118904\n            ],\n            [\n              -113.6151123046875,\n              49.00724918431423\n            ],\n            [\n              -115.0433349609375,\n              49.01085236926213\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05124e4b0220bbd9a1dbc","contributors":{"authors":[{"text":"Billman, Hilary G.","contributorId":198075,"corporation":false,"usgs":false,"family":"Billman","given":"Hilary","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":715015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":715014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kappenman, K.M.","contributorId":13412,"corporation":false,"usgs":true,"family":"Kappenman","given":"K.M.","affiliations":[],"preferred":false,"id":715016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":715013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":715017,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70197842,"text":"70197842 - 2013 - Cross-scale modeling of surface temperature and tree seedling establishment inmountain landscapes","interactions":[],"lastModifiedDate":"2018-06-21T12:36:56","indexId":"70197842","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale modeling of surface temperature and tree seedling establishment inmountain landscapes","docAbstract":"Abstract:\n Introduction: Estimating surface temperature from above-ground field measurements is important for understanding the complex landscape patterns of plant seedling survival and establishment, processes which occur at heights of only several centimeters. Currently, future climate models predict temperature at 2 m above ground, leaving ground-surface microclimate not well characterized.\n Methods: Using a network of field temperature sensors and climate models, a ground-surface temperature method was used to estimate microclimate variability of minimum and maximum temperature. Temperature lapse rates were derived from field temperature sensors and distributed across the landscape capturing differences in solar radiation and cold air drainages modeled at a 30-m spatial resolution.\n Results: The surface temperature estimation method used for this analysis successfully estimated minimum surface temperatures on north-facing, south-facing, valley, and ridgeline topographic settings, and when compared to measured temperatures yielded an R2 of 0.88, 0.80, 0.88, and 0.80, respectively. Maximum surface temperatures generally had slightly more spatial variability than minimum surface temperatures, resulting in R2 values of 0.86, 0.77, 0.72, and 0.79 for north-facing, south-facing, valley, and ridgeline topographic settings. Quasi-Poisson regressions predicting recruitment of Quercus kelloggii (black oak) seedlings from temperature variables were significantly improved using these estimates of surface temperature compared to air temperature modeled at 2 m.\n Conclusion: \nPredicting minimum and maximum ground-surface temperatures using a downscaled climate model coupled with temperature lapse rates estimated from field measurements provides a method for modeling temperature effects on plant recruitment. Such methods could be applied to improve projections of species’ range shifts under climate change. Areas of complex topography can provide intricate microclimates that may allow species to redistribute locally as climate changes.","language":"English","publisher":"Springer","doi":"10.1186/2192-1709-2-30","usgsCitation":"Dingman, J., Sweet, L.C., McCullough, I.M., Davis, F.W., Flint, A.L., Franklin, J., and Flint, L.E., 2013, Cross-scale modeling of surface temperature and tree seedling establishment inmountain landscapes: Ecological Processes, v. 2, e30; 15 p., https://doi.org/10.1186/2192-1709-2-30.","productDescription":"e30; 15 p.","ipdsId":"IP-051373","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":473391,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2192-1709-2-30","text":"Publisher Index Page"},{"id":355269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-17","publicationStatus":"PW","scienceBaseUri":"5b46f227e4b060350a15d38a","contributors":{"authors":[{"text":"Dingman, John jdingman@usgs.gov","contributorId":205860,"corporation":false,"usgs":true,"family":"Dingman","given":"John","email":"jdingman@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweet, Lynn C.","contributorId":149951,"corporation":false,"usgs":false,"family":"Sweet","given":"Lynn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":738719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCullough, Ian M.","contributorId":149952,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":738720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Frank W.","contributorId":150406,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[{"id":18015,"text":"Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":738721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":738723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738724,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190120,"text":"70190120 - 2013 - Extremely arsenic-rich, pH-neutral waters from the Giant Mine, Canada","interactions":[],"lastModifiedDate":"2018-01-05T14:28:18","indexId":"70190120","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Extremely arsenic-rich, pH-neutral waters from the Giant Mine, Canada","docAbstract":"Roasting arsenopyrite-bearing gold ore for more than fifty years has resulted in nearly 300,000 tons of arsenic trioxide waste at the Giant mine near Yellowknife, NWT, Canada. Most of this has been stored in underground chambers sealed with concrete bulkheads. Seepages from underground drillholes and fractures contain up to 4,000 mg As L-1. Approximately 70% of the total is As(III). The dominant dissolved constituents are As, Ca, Mg, Na and SO4 with low Fe.","language":"English","publisher":"InfoMine","usgsCitation":"Nordstrom, D.K., 2013, Extremely arsenic-rich, pH-neutral waters from the Giant Mine, Canada.","ipdsId":"IP-044375","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":350338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344751,"type":{"id":15,"text":"Index Page"},"url":"https://estore.infomine.com/extremely-arsenic-rich-ph-neutral-waters-from-the-giant-mine-canada-p766c1.aspx"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61029be4b06e28e9c2546c","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":707566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192334,"text":"70192334 - 2013 - Incorporating probabilistic seasonal climate forecasts into river management using a risk-based framework","interactions":[],"lastModifiedDate":"2017-10-25T10:03:31","indexId":"70192334","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating probabilistic seasonal climate forecasts into river management using a risk-based framework","docAbstract":"[1] Despite the influence of hydroclimate on river ecosystems, most efforts to date have focused on using climate information to predict streamflow for water supply. However, as water demands intensify and river systems are increasingly stressed, research is needed to explicitly integrate climate into streamflow forecasts that are relevant to river ecosystem management. To this end, we present a five step risk-based framework: (1) define risk tolerance, (2) develop a streamflow forecast model, (3) generate climate forecast ensembles, (4) estimate streamflow ensembles and associated risk, and (5) manage for climate risk. The framework is successfully demonstrated for an unregulated watershed in southwest Montana, where the combination of recent drought and water withdrawals has made it challenging to maintain flows needed for healthy fisheries. We put forth a generalized linear modeling (GLM) approach to develop a suite of tools that skillfully model decision-relevant low flow characteristics in terms of climate predictors. Probabilistic precipitation forecasts are used in conjunction with the GLMs, resulting in season-ahead prediction ensembles that provide the full risk profile. These tools are embedded in an end-to-end risk management framework that directly supports proactive fish conservation efforts. Results show that the use of forecasts can be beneficial to planning, especially in wet years, but historical precipitation forecasts are quite conservative (i.e., not very “sharp”). Synthetic forecasts show that a modest “sharpening” can strongly impact risk and improve skill. We emphasize that use in management depends on defining relevant environmental flows and risk tolerance, requiring local stakeholder involvement.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20378","usgsCitation":"Sojda, R.S., Towler, E., Roberts, M., and Rajagopalan, B., 2013, Incorporating probabilistic seasonal climate forecasts into river management using a risk-based framework: Water Resources Research, v. 49, no. 8, p. 4997-5008, https://doi.org/10.1002/wrcr.20378.","productDescription":"12 p.","startPage":"4997","endPage":"5008","ipdsId":"IP-040992","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.8623046875,\n              44.92591837128866\n            ],\n            [\n              -112.994384765625,\n              44.92591837128866\n            ],\n            [\n              -112.994384765625,\n              45.51789504294005\n            ],\n            [\n              -113.8623046875,\n              45.51789504294005\n            ],\n            [\n              -113.8623046875,\n              44.92591837128866\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"59f1a2a9e4b0220bbd9d9fac","contributors":{"authors":[{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Towler, Erin","contributorId":92904,"corporation":false,"usgs":true,"family":"Towler","given":"Erin","affiliations":[],"preferred":false,"id":715392,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Roberts, Mike","contributorId":149136,"corporation":false,"usgs":false,"family":"Roberts","given":"Mike","email":"","affiliations":[],"preferred":false,"id":715393,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rajagopalan, Balaji","contributorId":145813,"corporation":false,"usgs":false,"family":"Rajagopalan","given":"Balaji","email":"","affiliations":[{"id":16240,"text":"U of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":715391,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70192544,"text":"70192544 - 2013 - Vascular flora of saline lakes in the southern high plains of Texas and eastern New Mexico","interactions":[],"lastModifiedDate":"2017-10-31T09:24:40","indexId":"70192544","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2535,"text":"Journal of the Botanical Research Institute of Texas","active":true,"publicationSubtype":{"id":10}},"title":"Vascular flora of saline lakes in the southern high plains of Texas and eastern New Mexico","docAbstract":"Saline lakes and freshwater playas form the principal surface hydrological feature of the High Plains of the Southern Great Plains. Saline lakes number less than 50 and historically functioned as discharge wetlands with relatively consistent water availability due to the presence of one or more springs. Currently, less than ten saline lakes contain functional springs. A survey of vascular plants at six saline lakes in the Southern High Plains of northwest Texas and one in eastern New Mexico during May and September 2009 resulted in a checklist of 49 species representing 16 families and 40 genera. The four families with the most species were Asteraceae (12), Amaranthaceae (8), Cyperaceae (5), and Poaceae (12). Non-native species (Bromus catharticus, Poa compressa, Polypogon monspeliensis, Sonchus oleraceus, Kochia scoparia, and Tamarix ramosissima) accounted for 10% of the total species recorded. Whereas nearly 350 species of vascular plants have been identified in playas in the Southern High Plains, saline lakes contain a fraction of this species richness. The Southern High Plains saline lake flora is regionally unique, containing taxa not found in playas, with species composition that is more similar to temperate desert wetlands of the Intermountain Region and Gulf Coastal Plain of North America.","language":"English","publisher":"The Botanical Research Institute of Texas","usgsCitation":"Rosen, D.J., Conway, W.C., Haukos, D.A., and Caskey, A.D., 2013, Vascular flora of saline lakes in the southern high plains of Texas and eastern New Mexico: Journal of the Botanical Research Institute of Texas, v. 7, no. 1, p. 595-602.","productDescription":"8 p.","startPage":"595","endPage":"602","ipdsId":"IP-040764","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347795,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/24621113"}],"country":"United 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,{"id":70059790,"text":"70059790 - 2013 - Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA","interactions":[],"lastModifiedDate":"2018-09-18T16:29:07","indexId":"70059790","displayToPublicDate":"2013-12-30T14:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA","docAbstract":"Riparian vegetation provides important wildlife habitat in the Southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeog.2013.12.003","usgsCitation":"Villarreal, M., van Riper, C., and Petrakis, R., 2013, Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA: Applied Geography, v. 47, p. 57-69, https://doi.org/10.1016/j.apgeog.2013.12.003.","productDescription":"13 p.","startPage":"57","endPage":"69","numberOfPages":"13","ipdsId":"IP-048880","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":280568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280567,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeog.2013.12.003"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.8184,31.3322 ], [ -114.8184,37.0043 ], [ -109.0452,37.0043 ], [ -109.0452,31.3322 ], [ -114.8184,31.3322 ] ] ] } } ] }","volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c29607e4b040b25da903da","contributors":{"authors":[{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":487828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":487826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrakis, Roy E.","contributorId":46868,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy E.","affiliations":[],"preferred":false,"id":487827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044629,"text":"ofr20121208 - 2013 - Water-quality data of lakes and wetlands in the Yukon Flats, Alaska, 2007–2009","interactions":[],"lastModifiedDate":"2014-02-19T13:09:09","indexId":"ofr20121208","displayToPublicDate":"2013-12-30T13:02:43","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1208","title":"Water-quality data of lakes and wetlands in the Yukon Flats, Alaska, 2007–2009","docAbstract":"Over a three-year period (2007–2009), in-situ measurements were taken and water-quality samples were collected from 111 lakes and wetlands located in the Yukon Flats, Alaska, during a U.S. Fish and Wildlife Service wetlands inventory. The U.S. Geological Survey performed the chemical analyses on the retrieved water-quality samples. Results from the analyses of water samples for dissolved carbon gases and carbon isotopes, hydrogen and oxygen stable isotopes, dissolved organic carbon, and major cations and anions, along with supporting site data, are presented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121208","usgsCitation":"Halm, D.R., and Guldager, N., 2013, Water-quality data of lakes and wetlands in the Yukon Flats, Alaska, 2007–2009: U.S. Geological Survey Open-File Report 2012-1208, Report: v, 8 p.; Excel Table, https://doi.org/10.3133/ofr20121208.","productDescription":"Report: v, 8 p.; Excel Table","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-037333","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":282535,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1208/pdf/of2012-1208.pdf"},{"id":282536,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1208/tables.xlsx"},{"id":282537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121208.gif"},{"id":282534,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1208/"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.553,65.4692 ], [ -149.553,67.4718 ], [ -142.4346,67.4718 ], [ -142.4346,65.4692 ], [ -149.553,65.4692 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7d2ce4b0b2908510f36e","contributors":{"authors":[{"text":"Halm, Douglas R. drhalm@usgs.gov","contributorId":1635,"corporation":false,"usgs":true,"family":"Halm","given":"Douglas","email":"drhalm@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":476040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guldager, Nikki","contributorId":101981,"corporation":false,"usgs":true,"family":"Guldager","given":"Nikki","email":"","affiliations":[],"preferred":false,"id":476041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058107,"text":"ds809 - 2013 - Water column and bed-sediment core samples collected from Brownlee Reservoir near Oxbow, Oregon, 2012","interactions":[],"lastModifiedDate":"2013-12-30T13:19:07","indexId":"ds809","displayToPublicDate":"2013-12-30T12:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"809","title":"Water column and bed-sediment core samples collected from Brownlee Reservoir near Oxbow, Oregon, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with Idaho Power Company, collected water-column and bed-sediment core samples from eight sites in Brownlee Reservoir near Oxbow, Oregon, during May 5–7, 2012. Water-column and bed-sediment core samples were collected at each of the eight sites and analyzed for total mercury and methylmercury. Additional bed-sediment core samples, collected from three of the eight sites, were analyzed for pesticides and other organic compounds, trace metals, and physical characteristics, such as particle size.\n\nTotal mercury and methylmercury were detected in each of the water column and bed-sediment core samples. Only 17 of the 417 unique pesticide and organic compounds were detected in bed-sediment core samples. Concentrations of most organic wastewater compounds detected in bed sediment were less than the reporting level. Trace metals detected were greater than the reporting level in all the bed-sediment core samples submitted for analysis. The particle size distribution of bed-sediment core samples was predominantly clay mixed with silt.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds809","collaboration":"Prepared in cooperation with Idaho Power Company","usgsCitation":"Fosness, R.L., Naymik, J., Hopkins, C.B., and DeWild, J.F., 2013, Water column and bed-sediment core samples collected from Brownlee Reservoir near Oxbow, Oregon, 2012: U.S. Geological Survey Data Series 809, vi, 44 p., https://doi.org/10.3133/ds809.","productDescription":"vi, 44 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042203","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280560,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/809/"},{"id":280561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds809.JPG"},{"id":280559,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/809/pdf/ds809.pdf"}],"projection":"Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"Idaho;Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.268066,44.403618 ], [ -117.268066,44.832257 ], [ -116.906204,44.832257 ], [ -116.906204,44.403618 ], [ -117.268066,44.403618 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c2960be4b040b25da90416","contributors":{"authors":[{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naymik, Jesse","contributorId":58936,"corporation":false,"usgs":true,"family":"Naymik","given":"Jesse","affiliations":[],"preferred":false,"id":487009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70059273,"text":"70059273 - 2013 - Early responses to zebra mussels in the Great Lakes: a journey from information vacuum to policy and regulation","interactions":[],"lastModifiedDate":"2014-01-08T11:45:16","indexId":"70059273","displayToPublicDate":"2013-12-30T11:36:31","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Early responses to zebra mussels in the Great Lakes: a journey from information vacuum to policy and regulation","docAbstract":"Invasive species such as zebra mussels pose a threat to the economies and environments of coastal and fresh-water habitats around the world. Consequently, it is important that government policies and programs be adequate to protect these waters from invaders. This chapter documents key events that took place in the early years (1988-1991) of zebra mussel colonization of the Laurentian Great Lakes and evaluates government responses (policies and programs) to this disruptive, invasive, freshwater species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","doi":"10.1201/b15437-16","usgsCitation":"Griffiths, R.W., Schloesser, D.W., and Kovalak, W.P., 2013, Early responses to zebra mussels in the Great Lakes: a journey from information vacuum to policy and regulation, chap. <i>of</i> Quagga and zebra mussels: biology, impacts, and control, p. 135-176, https://doi.org/10.1201/b15437-16.","productDescription":"42 p.","startPage":"135","endPage":"176","ipdsId":"IP-042015","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280718,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1201/b15437-16"}],"edition":"Second","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5608e4b0b290850f6af1","contributors":{"authors":[{"text":"Griffiths, Ronald W.","contributorId":11994,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":487550,"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":487551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovalak, William P.","contributorId":77479,"corporation":false,"usgs":true,"family":"Kovalak","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487552,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70059274,"text":"70059274 - 2013 - Quagga and zebra mussels: biology, impacts, and control","interactions":[],"lastModifiedDate":"2018-08-15T12:15:58","indexId":"70059274","displayToPublicDate":"2013-12-30T10:52:02","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Quagga and zebra mussels: biology, impacts, and control","docAbstract":"<p><i>Quagga and Zebra Mussels: Biology, Impacts, and Control</i>, Second Edition provides a broad view of the zebra/quagga mussel issue, offering a historic perspective and up-to-date information on mussel research. Comprising 48 chapters, this second edition includes reviews of mussel morphology, physiology, and behavior. It details mussel distribution and spread in Europe and across North America, and examines policy and regulatory responses, management strategies, and mitigation efforts. In addition, this book provides extensive coverage of the impact of invasive mussel species on freshwater ecosystems, including effects on water clarity, phytoplankton, water quality, food web changes, and consequences to other aquatic fauna. It also reviews and offers new insights on how zebra and quagga mussels respond and adapt to varying environmental conditions. This new edition includes seven video clips that complement chapter text and, through visual documentation, provide a greater understanding of mussel behavior and distribution.</p>","language":"English","publisher":"CRC Press","isbn":"9781439854365","usgsCitation":"2013, Quagga and zebra mussels: biology, impacts, and control (2), 815 p.","productDescription":"815 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049193","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356508,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Quagga-and-Zebra-Mussels-Biology-Impacts-and-Control-Second-Edition/Nalepa-Schloesser/p/book/9781439854365"}],"edition":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e92e4b0b29085105dfa","contributors":{"editors":[{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":509661,"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":509660,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70059744,"text":"70059744 - 2013 - Preparation and characterization of nickel-spiked freshwater sediments for toxicity tests: toward more environmentally realistic nickel partitioning","interactions":[],"lastModifiedDate":"2017-05-23T11:34:30","indexId":"70059744","displayToPublicDate":"2013-12-30T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Preparation and characterization of nickel-spiked freshwater sediments for toxicity tests: toward more environmentally realistic nickel partitioning","docAbstract":"<p><span>Two spiking methods were compared and nickel (Ni) partitioning was evaluated during a series of toxicity tests with 8 different freshwater sediments having a range of physicochemical characteristics. A 2-step spiking approach with immediate pH adjustment by addition of NaOH at a 2:1 molar ratio to the spiked Ni was effective in producing consistent pH and other chemical characteristics across a range of Ni spiking levels. When Ni was spiked into sediment having a high acid-volatile sulfide and organic matter content, a total equilibration period of at least 10 wk was needed to stabilize Ni partitioning. However, highest spiking levels evidently exceeded sediment binding capacities; therefore, a 7-d equilibration in toxicity test chambers and 8 volume-additions/d of aerobic overlying water were used to avoid unrealistic Ni partitioning during toxicity testing. The 7-d pretest equilibration allowed excess spiked Ni and other ions from pH adjustment to diffuse from sediment porewater and promoted development of an environmentally relevant, 0.5- to 1-cm oxic/suboxic sediment layer in the test chambers. Among the 8 different spiked sediments, the logarithm of sediment/porewater distribution coefficient values (log </span><i>K</i><sub>d</sub><span>) for Ni during the toxicity tests ranged from 3.5 to 4.5. These </span><i>K</i><sub>d</sub><span> values closely match the range of values reported for various field Ni-contaminated sediments, indicating that testing conditions with our spiked sediments were environmentally realistic.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.2272","usgsCitation":"Brumbaugh, W.G., Besser, J.M., Ingersoll, C.G., May, T.W., Ivey, C.D., Schlekat, C.E., and Garman, E.R., 2013, Preparation and characterization of nickel-spiked freshwater sediments for toxicity tests: toward more environmentally realistic nickel partitioning: Environmental Toxicology and Chemistry, v. 32, no. 11, p. 2482-2494, https://doi.org/10.1002/etc.2272.","productDescription":"13 p.","startPage":"2482","endPage":"2494","numberOfPages":"13","ipdsId":"IP-041903","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":280548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280531,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2272"}],"volume":"32","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-08","publicationStatus":"PW","scienceBaseUri":"52c2960ae4b040b25da90401","contributors":{"authors":[{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":487766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlekat, Christian E.","contributorId":28519,"corporation":false,"usgs":true,"family":"Schlekat","given":"Christian","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garman, Emily R.","contributorId":19461,"corporation":false,"usgs":true,"family":"Garman","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487768,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70056529,"text":"sim3273 - 2013 - Characterization of hydrodynamic and sediment conditions in the lower Yampa River at Deerlodge Park, east entrance to Dinosaur National Monument, northwest Colorado, 2011","interactions":[],"lastModifiedDate":"2013-12-30T09:23:41","indexId":"sim3273","displayToPublicDate":"2013-12-30T09:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3273","title":"Characterization of hydrodynamic and sediment conditions in the lower Yampa River at Deerlodge Park, east entrance to Dinosaur National Monument, northwest Colorado, 2011","docAbstract":"The Yampa River in northwestern Colorado is the largest, relatively unregulated river system in the upper Colorado River Basin. Water from the Yampa River Basin continues to be sought for a number of municipal, industrial, and energy uses. It is anticipated that future water development within the Yampa River Basin above the amount of water development identified under the Upper Colorado River Endangered Fish Recovery Implementation Program and the Programmatic Biological Opinion may require additional analysis in order to understand the effects on habitat and river function. Water development in the Yampa River Basin could alter the streamflow regime and, consequently, could lead to changes in the transport and storage of sediment in the Yampa River at Deerlodge Park. These changes could affect the physical form of the reach and may impact aquatic and riparian habitat in and downstream from Deerlodge Park.\n\nThe U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, began a study in 2011 to characterize the current hydrodynamic and sediment-transport conditions for a 2-kilometer reach of the Yampa River in Deerlodge Park. Characterization of channel conditions in the Deerlodge Park reach was completed through topographic surveying, grain-size analysis of streambed sediment, and characterization of streamflow properties. This characterization provides (1) a basis for comparisons of current stream functions (channel geometry, sediment transport, and stream hydraulics) to future conditions and (2) a dataset that can be used to assess channel response to streamflow alteration scenarios indicated from computer modeling of streamflow and sediment-transport conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3273","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Williams, C.A., 2013, Characterization of hydrodynamic and sediment conditions in the lower Yampa River at Deerlodge Park, east entrance to Dinosaur National Monument, northwest Colorado, 2011: U.S. Geological Survey Scientific Investigations Map 3273, Map: 37.92 inches x 29.17 inches, https://doi.org/10.3133/sim3273.","productDescription":"Map: 37.92 inches x 29.17 inches","additionalOnlineFiles":"N","ipdsId":"IP-049562","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":280530,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3273/"},{"id":280546,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3273/pdf/sim3273.pdf"},{"id":280547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3273.jpg"}],"projection":"2011 Universal Transverse Mercator, Zone 12 North","datum":"North American Datum of 1983","country":"United States","state":"Colorado","otherGeospatial":"Dinosaur National Monument","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.519001,40.441199 ], [ -108.519001,40.453087 ], [ -108.499947,40.453087 ], [ -108.499947,40.441199 ], [ -108.519001,40.441199 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c29607e4b040b25da903d3","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486588,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70058573,"text":"sir20135229 - 2013 - Evaporation from Lake Mead, Nevada and Arizona, March 2010 through February 2012","interactions":[],"lastModifiedDate":"2015-11-10T14:40:38","indexId":"sir20135229","displayToPublicDate":"2013-12-30T08:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5229","title":"Evaporation from Lake Mead, Nevada and Arizona, March 2010 through February 2012","docAbstract":"<p>Evaporation from Lake Mead was measured using the eddy-covariance method for the 2-year period starting March 2010 and ending February 2012. When corrected for energy imbalances, annual eddy-covariance evaporation was 2,074 and 1,881 millimeters (81.65 and 74.07 inches), within the range of previous estimates. There was a 9-percent decrease in the evaporation rate and a 10-percent increase in the lake surface area during the second year of the study compared to the first. These offsetting factors resulted in a nearly identical 720 million cubic meters (584,000 acre feet) evaporation volume for both years. Monthly evaporation rates were best correlated with wind speed, vapor pressure difference, and atmospheric stability. Differences between individual monthly evaporation and mean monthly evaporation were as much as 20 percent. Net radiation provided most of the energy available for evaporative processes; however, advected heat from the Colorado River was an important energy source during the second year of the study. Peak evaporation lagged peak net radiation by 2 months because a larger proportion of the net radiation that reaches the lake goes to heating up the water column during the spring and summer months. As most of this stored energy is released, higher evaporation rates are sustained during fall months even though net radiation declines. The release of stored heat also fueled nighttime evaporation, which accounted for 37 percent of total evaporation. The annual energy-balance ratio was 0.90 on average and varied only 0.01 between the 2 years, thus implying that 90 percent of estimated available energy was accounted for by turbulent energy measured using the eddy-covariance method. More than 90 percent of the turbulent-flux source area represented the open-water surface, and 94 percent of 30-minute turbulent-flux measurements originated from wind directions where the fetch ranged from 2,000 to 16,000 meters. Evaporation uncertainties were estimated to be 5 to 7 percent. A secondary evaporation method, the Bowen ratio energy budget method, also was employed to measure evaporation from Lake Mead primarily as a validation of eddy-covariance evaporation measurements at annual timescales. There was good agreement between annual corrected eddy-covariance and Bowen ratio energy budget evaporation estimates, providing strong validation of these two largely independent methods. Annual Bowen ratio energy budget evaporation was 6 and 8 percent greater than eddy-covariance evaporation for the 2 study years, and both methods indicated there was a similar decrease in evaporation from the first to the second year. Both methods produced negative sensible heat fluxes during the same months, and there was a strong correlation between monthly Bowen ratios (R<sup>2</sup> = 0.94). The correlation between monthly evaporation (R<sup>2</sup> = 0.65), however, was not as strong. Monthly differences in evaporation were attributed primarily to heat storage estimate uncertainty.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135229","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Moreo, M.T., and Swancar, A., 2013, Evaporation from Lake Mead, Nevada and Arizona, March 2010 through February 2012: U.S. Geological Survey Scientific Investigations Report 2013-5229, Report: viii, 40 p.; Appendix A: 1 XLSX file, https://doi.org/10.3133/sir20135229.","productDescription":"Report: viii, 40 p.; Appendix A: 1 XLSX file","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-036635","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":280543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135229.jpg"},{"id":280536,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5229"},{"id":280545,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5229/pdf/sir2013-5229.pdf"},{"id":280544,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5229/downloads/20131210_appA.xlsx"},{"id":311171,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.5066/F79C6VG3","text":"Data Release"}],"projection":"Universal Transverse Mercator, Zone 11","datum":"North American Datum of 1983","country":"United States","state":"Arizona;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.6448,35.8891 ], [ -115.6448,37.1822 ], [ -113.9722,37.1822 ], [ -113.9722,35.8891 ], [ -115.6448,35.8891 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c29609e4b040b25da903f3","contributors":{"authors":[{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":487175,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058863,"text":"ofr20131295 - 2013 - Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2010-11","interactions":[],"lastModifiedDate":"2013-12-30T08:25:24","indexId":"ofr20131295","displayToPublicDate":"2013-12-27T15:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1295","subseriesTitle":"National Water-Quality Assessment Program","title":"Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2010-11","docAbstract":"This report provides preliminary estimates of annual agricultural use of 374 pesticide compounds in counties of the conterminous United States in 2010 and 2011, compiled by means of methods described in Thelin and Stone (2013). U.S. Department of Agriculture (USDA) county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District (CRD)-level pesticide-use data to estimate county-level pesticide use. Estimated pesticide use (EPest) values were calculated with both the EPest-high and EPest-low methods. The distinction between the EPest-high method and the EPest-low method is that there are more counties with estimated pesticide use for EPest-high compared to EPest-low, owing to differing assumptions about missing survey data (Thelin and Stone, 2013). Preliminary estimates in this report will be revised upon availability of updated crop acreages in the 2012 Agricultural Census, to be published by the USDA in 2014. In addition, estimates for 2008 and 2009 previously published by Stone (2013) will be updated subsequent to the 2012 Agricultural Census release. Estimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, which are organized by compound, year, state Federal Information Processing Standard (FIPS) code, county FIPS code, and kg (amount in kilograms).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131295","usgsCitation":"Baker, N.T., and Stone, W.W., 2013, Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2010-11: U.S. Geological Survey Open-File Report 2013-1295, Report: iii, 2 p.; Tables: 14 txt files, https://doi.org/10.3133/ofr20131295.","productDescription":"Report: iii, 2 p.; Tables: 14 txt files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052139","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":280542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131295.jpg"},{"id":280539,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1295/"},{"id":280540,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1295/tables/of2013-1295_tables.zip"},{"id":280541,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1295/pdf/of2013-1295.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52bea162e4b052bfba83a2ed","contributors":{"authors":[{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":487406,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058790,"text":"pp1803 - 2013 - Selenium in ecosystems within the mountaintop coal mining and valley-fill region of southern West Virginia-assessment and ecosystem-scale modeling","interactions":[],"lastModifiedDate":"2013-12-23T14:47:58","indexId":"pp1803","displayToPublicDate":"2013-12-23T14:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1803","title":"Selenium in ecosystems within the mountaintop coal mining and valley-fill region of southern West Virginia-assessment and ecosystem-scale modeling","docAbstract":"Coal and associated waste rock are among environmental selenium (Se) sources that have the potential to affect reproduction in fish and aquatic birds. Ecosystems of southern West Virginia that are affected by drainage from mountaintop coal mines and valleys filled with waste rock in the Coal, Gauley, and Lower Guyandotte watersheds were assessed during 2010 and 2011. Sampling data from earlier studies in these watersheds (for example, Upper Mud River Reservoir) and other mining-affected watersheds also are included to assess additional hydrologic settings and food webs for comparison. Basin schematics give a comprehensive view of sampled species and Se concentration data specific to location and date. Food-web diagrams document the progression of Se trophic transfer across suspended particulate material, invertebrates, and fish for each site to serve as the basis for developing an ecosystem-scale model to predict Se exposure within the hydrologic conditions and food webs of southern West Virginia. This approach integrates a site-specific predator’s dietary exposure pathway into modeling to ensure an adequate link to Se toxicity and, thus, to species vulnerability.\n\nSite-specific fish abundance and richness data in streams documented various species of chub, shiner, dace, darters, bass, minnow, sunfish, sucker, catfish, and central stoneroller (Campostoma anomalum), mottled sculpin (Cottus bairdii), and least brook lamprey (Lampetra aepyptera). However, Se assessment species for streams, and hence, model species for streams, were limited to creek chub (Semotilus atromaculatus) and central stoneroller. Both of these species of fish are generally considered to have a high tolerance for environmental stress based on traditional comparative fish community assessment, with creek chub being present at all sites. Aquatic insects (mayfly, caddisfly, stonefly, dobsonfly, chironomid) were the main invertebrates sampled in streams. Collection of suspended particulate material acted as an integrator of organic-rich, fine-grained biomass present in streams.\n\nThe base-case food web modeled for streams was suspended particulate material to aquatic insect to creek chub, with comparative modeling of a direct particulate-to-stoneroller food web. Model species for a reservoir setting were based on an earlier study of bluegill sunfish (Lepomis macrochirus), green sunfish (Lepomis cyanellus), and largemouth bass (Micropterus salmoides). Several reservoir food webs were considered based on a variety of invertebrates (insect, snail, clam). For stream and reservoir settings, predicted Se concentrations in exposure scenarios showed a high degree of correlation (r<sup>2</sup> = 0.91 for invertebrates and 0.75 for fish) with field observations of Se concentrations when modeling was initiated from suspended-particulate-material Se concentrations and model transfer parameters defined previously in the literature were used. These strong correlations validate the derived site-specific model and establish sufficient confidence that the predictions from the developed model can be quantitatively applied to the ecosystems in southern West Virginia.\n\nAn application of modeling used a metric describing the partitioning of Se between particulate material and dissolved phases (K<sub>d</sub>) to allow determination of a dissolved Se concentration that would be necessary to attain a site-specific Se fish body burden. The operationally defined K<sub>d</sub> quantifies the complex process of transformation at the base of a food web on a site-specific basis. The magnitude of this metric is known to vary with such factors as Se speciation, particulate-material type, and hydrology. This application (1) ties dissolved Se concentrations to fish tissue concentrations; (2) allows consideration of different choices for intervening site-specific exposure steps that set Se bioaccumulation, partitioning, and bioavailability; and (3) generates implications for management decisions that define protection through different regulatory pathways and guidelines. The range of model outcomes accounts for critical sources of variability and establishes whether site and food-web characterization were adequate to represent the dynamics of the system with certainty. This is especially true in terms of particulate-material phases at the base of the food web and utilization of K<sub>d</sub> in different hydrologic settings. For streams, a range of field-derived K<sub>d</sub>ds were applied to food-web exposure scenarios within a framework of locational and hydrologic variables (area of stream basin; stream gradient and discharge) that may affect the magnitude of K<sub>d</sub>. Overlaying even a coarse temporal scale that acknowledges variability in stream dissolved Se and Se speciation, such as through seasonal derivation of K<sub>d</sub>, can substantially narrow model uncertainty.\n\nModeling that constrains the place and time of greatest ecosystem Se sensitivity within a specified food web gives insight into Se risk and identifies controlling management alternatives within a watershed or stream basin. If there is a range of hydrologic settings, specificity is needed to establish a hierarchy of in-stream and off-stream habitats for a watershed approach that takes into account Se-enriched water moving through different K<sub>d</sub> and food web environments. If there is a range of predator vulnerabilities (measured as a combination of food-web Se biodynamics and response in Se toxicity tests) within the site-specific community of fish species to be protected, then choice of fish species is critical to protection because it determines the food web and, hence, the magnitude of biotransfer through which Se is modeled. Whether creek chub is representative of the vulnerability to Se of all fish species encountered within the study-site ecosystems will require additional species-specific data and analysis. A range of site-specific scenarios illustrated here set model outcomes, but the final quantitative evaluation of alternatives and their implications will be those generated through choices and guidance formulated by state and other agencies in their decisionmaking processes.\n\nProposed additions and refinements to the ecosystem-scale site-specific approach developed here include consideration of:\n\nmeasurement of temporally matched pairs of dissolved and suspended-particulate-material Se concentrations across a broader range of stream sites to expand the stream K<sub>d</sub> database and to test the representativeness of a suspended-particulate-material sample within a stream;\ncharacterization of different phases of particulate material across seasons to better define the base of the food web and connect to invertebrate feeding;\nrefinement of model assumptions concerning dietary preferences and composition for fish to develop additional trophic transfer factors (TTFs) (for example, calculation of TTFinvertebrate composite for mixed diets);\nexpansion of modeling of fish species and their food webs to include Se-vulnerable species;\ntemporal characterization of a predator’s life cycle and habitat use as additional model layers to integrate with Se biodynamics in streams;\ninvestigation of the effect of stream gradient on K<sub>d</sub> based on a finer scale than presented here in terms of such variables as residence time, watershed dilution, and physical habitat attributes (for example, amount of ponding versus run or riffle within a stream); and\nlinkage to discharge through use of stream gaging to record variability and enable model organization within water-year types and discharge seasons.\nInvestigating the presence and variability of prey and predator species in demographically open systems such as streams also is key to model outcomes given the overall environmental stressors (for example, general landscape change, food-web disruption, recolonization potential) imposed on the composition of biological communities in coal mining and valley-fill affected watersheds","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1803","usgsCitation":"Presser, T.S., 2013, Selenium in ecosystems within the mountaintop coal mining and valley-fill region of southern West Virginia-assessment and ecosystem-scale modeling: U.S. Geological Survey Professional Paper 1803, vi, 86 p., https://doi.org/10.3133/pp1803.","productDescription":"vi, 86 p.","numberOfPages":"96","additionalOnlineFiles":"N","ipdsId":"IP-051155","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":280523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1803.jpg"},{"id":280521,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1803/"},{"id":280522,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1803/pdf/pp1803.pdf"}],"country":"United States","state":"West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.8207,37.4749 ], [ -81.8207,38.6340 ], [ -80.1453,38.6340 ], [ -80.1453,37.4749 ], [ -81.8207,37.4749 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b95be2e4b0a747b3e7e7aa","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":487377,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70057805,"text":"sir20135220 - 2013 - Evaluation of total phosphorus mass balance in the lower Boise River and selected tributaries, southwestern Idaho","interactions":[],"lastModifiedDate":"2013-12-23T14:21:17","indexId":"sir20135220","displayToPublicDate":"2013-12-23T13:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5220","title":"Evaluation of total phosphorus mass balance in the lower Boise River and selected tributaries, southwestern Idaho","docAbstract":"he U.S. Geological Survey (USGS), in cooperation with Idaho Department of Environmental Quality, developed spreadsheet mass-balance models for total phosphorus using results from three synoptic sampling periods conducted in the lower Boise River watershed during August and October 2012, and March 2013. The modeling reach spanned 46.4 river miles (RM) along the Boise River from Veteran’s Memorial Parkway in Boise, Idaho (RM 50.2), to Parma, Idaho (RM 3.8). The USGS collected water-quality samples and measured streamflow at 14 main-stem Boise River sites, two Boise River north channel sites, two sites on the Snake River upstream and downstream of its confluence with the Boise River, and 17 tributary and return-flow sites. Additional samples were collected from treated effluent at six wastewater treatment plants and two fish hatcheries. The Idaho Department of Water Resources quantified diversion flows in the modeling reach.\n\nTotal phosphorus mass-balance models were useful tools for evaluating sources of phosphorus in the Boise River during each sampling period. The timing of synoptic sampling allowed the USGS to evaluate phosphorus inputs to and outputs from the Boise River during irrigation season, shortly after irrigation ended, and soon before irrigation resumed. Results from the synoptic sampling periods showed important differences in surface-water and groundwater distribution and phosphorus loading. In late August 2012, substantial streamflow gains to the Boise River occurred from Middleton (RM 31.4) downstream to Parma (RM 3.8). Mass-balance model results indicated that point and nonpoint sources (including groundwater) contributed phosphorus loads to the Boise River during irrigation season. Groundwater exchange within the Boise River in October 2012 and March 2013 was not as considerable as that measured in August 2012. However, groundwater discharge to agricultural tributaries and drains during non-irrigation season was a large source of discharge and phosphorus in the lower Boise River in October 2012 and March 2013. Model results indicate that point sources represent the largest contribution of phosphorus to the Boise River year round, but that reductions in point and nonpoint source phosphorus loads may be necessary to achieve seasonal total phosphorus concentration targets at Parma (RM 3.8) from May 1 through September 30, as set by the 2004 Snake River-Hells Canyon Total Maximum Daily Load document. The mass-balance models do not account for biological or depositional instream processes, but are useful indicators of locations where appreciable phosphorus uptake or release by aquatic plants may occur.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135220","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality","usgsCitation":"Etheridge, A.B., 2013, Evaluation of total phosphorus mass balance in the lower Boise River and selected tributaries, southwestern Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5220, Report: viii, 70 p.; 3 XLSM files, https://doi.org/10.3133/sir20135220.","productDescription":"Report: viii, 70 p.; 3 XLSM files","additionalOnlineFiles":"Y","ipdsId":"IP-039546","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280515,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5220/pdf/sir20135220.pdf"},{"id":280516,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5220/"},{"id":280517,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5220/downloads/sir20135220_October2012.xlsm"},{"id":280518,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5220/downloads/sir20135220_August2012.xlsm"},{"id":280519,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5220/downloads/sir20135220_March2013.xlsm"},{"id":280520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135220.jpg"}],"scale":"100000","projection":"Universal Transverse Mercator, Zone 10 North. Horizontal","datum":"North American Datum of 1983","country":"United States","state":"Idaho","otherGeospatial":"Boise River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.067566,43.544567 ], [ -117.067566,43.808765 ], [ -116.003952,43.808765 ], [ -116.003952,43.544567 ], [ -117.067566,43.544567 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b95bbfe4b0a747b3e7e71d","contributors":{"authors":[{"text":"Etheridge, Alexandra B. 0000-0003-1282-7315 aetherid@usgs.gov","orcid":"https://orcid.org/0000-0003-1282-7315","contributorId":3542,"corporation":false,"usgs":true,"family":"Etheridge","given":"Alexandra","email":"aetherid@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486878,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}