{"pageNumber":"968","pageRowStart":"24175","pageSize":"25","recordCount":165549,"records":[{"id":70186031,"text":"70186031 - 2017 - Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2017-07-10T16:20:01","indexId":"70186031","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River","docAbstract":"<p><span>Suspended particles are an essential component of large rivers influencing channel geomorphology, biogeochemical cycling of nutrients, and food web resources. The Upper Mississippi River is a large floodplain river that exhibits pronounced spatiotemporal variation in environmental conditions and biota, providing an ideal environment for investigating dynamics of suspended particles in large river ecosystems. Here we investigated two questions: (i) How do suspended particle characteristics (e.g. size and morphology) vary temporally and spatially? and (ii) What environmental variables have the strongest association with particle characteristics? Water sampling was conducted in June, August, and September of 2013 and 2014 in Navigation Pool 19 of the Upper Mississippi River. A FlowCAM® (Flow Cytometer and Microscope) particle imaging system was used to enumerate and measure particles 53–300&nbsp;μm in diameter for size and shape characteristics (e.g. volume, elongation, and symmetry). Suspended particle characteristics varied considerably over space and time and were strongly associated with discharge and concentrations of nitrate&nbsp;+&nbsp;nitrite (NO</span><sub>3</sub><sup>−</sup><span>) and soluble reactive phosphorus. Particle characteristics in backwaters were distinct from those in other habitats for most of the study period, likely due to reduced hydrologic connectivity and higher biotic production in backwaters. During low discharge, phytoplankton and zooplankton made up relatively greater proportions of the observed particles. Concurrently during low discharge, concentrations of chlorophyll, volatile suspended solids, and total phosphorus were higher. Our results suggest that there are complex interactions among space, time, discharge, and other environmental variables (e.g. water nutrients), which drive suspended particle dynamics in large rivers. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3131","usgsCitation":"Milde, A.S., Richardson, W.B., Strauss, E.A., Larson, J.H., Vallazza, J.M., and Knights, B.C., 2017, Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River: River Research and Applications, v. 33, no. 5, p. 740-752, https://doi.org/10.1002/rra.3131.","productDescription":"13 p.","startPage":"740","endPage":"752","ipdsId":"IP-076602","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343530,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z7250","text":"Spatial and temporal dynamics of suspended particle characteristics and composition in Navigation Pool 19 of the Upper Mississippi River"}],"country":"United States","otherGeospatial":"Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.03134155273438,\n              40.91351257612758\n            ],\n            [\n              -91.1151123046875,\n              40.84394377141789\n            ],\n            [\n              -91.10412597656249,\n              40.78885994449482\n            ],\n            [\n              -91.12884521484375,\n              40.74725696280421\n            ],\n            [\n              -91.12335205078125,\n              40.71083299030839\n            ],\n     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       -91.03134155273438,\n              40.91351257612758\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"58de194be4b02ff32c699c7d","contributors":{"authors":[{"text":"Milde, Amanda S. 0000-0001-5854-9184 amilde@usgs.gov","orcid":"https://orcid.org/0000-0001-5854-9184","contributorId":5877,"corporation":false,"usgs":true,"family":"Milde","given":"Amanda","email":"amilde@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strauss, Eric A.","contributorId":190148,"corporation":false,"usgs":false,"family":"Strauss","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences 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,{"id":70186028,"text":"70186028 - 2017 - Live transport of Yellow Perch and Nile Tilapia in AQUI-S 20E (10% Eugenol) at high loading densities","interactions":[],"lastModifiedDate":"2017-03-30T11:56:43","indexId":"70186028","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Live transport of Yellow Perch and Nile Tilapia in AQUI-S 20E (10% Eugenol) at high loading densities","docAbstract":"<p><span>Fish transport costs are a substantial portion of the operational expenses for aquaculture facilities in the USA. Safely transporting higher loading densities of fish would benefit haulers by increasing efficiency and reducing costs, but research evaluating transport for individual species is generally lacking. In this study, Yellow Perch </span><i>Perca flavescens</i><span> and Nile Tilapia </span><i>Oreochromis niloticus</i><span> were transported for 6 h immersed in water containing AQUI-S 20E (10% eugenol) at fish loading densities of 240 g/L (2 lb/gal) for perch and 480 g/L (4 lb/gal) for tilapia. Survival was quantified for fish transported in AQUI-S 20E concentrations of (1) control or 0 mg/L of water, (2) 100 mg/L, or (3) 200 mg/L. Yellow Perch had 98–100% survival, and Nile Tilapia had 100% survival up to through 14 d after transport across all AQUI-S 20E levels, including the control. Eugenol concentrations decreased rapidly in transport tank water, and fish showed no signs of sedation by the end of transport. We conclude that live transport of Yellow Perch and Nile Tilapia at higher loading densities resulted in high survival regardless of the AQUI-S 20E concentrations we tested.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2017.1281853","usgsCitation":"Cupp, A.R., Schreier, T.M., and Schleis, S.M., 2017, Live transport of Yellow Perch and Nile Tilapia in AQUI-S 20E (10% Eugenol) at high loading densities: North American Journal of Aquaculture, v. 79, no. 2, p. 176-182, https://doi.org/10.1080/15222055.2017.1281853.","productDescription":"7 p.","startPage":"176","endPage":"182","ipdsId":"IP-078019","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-02","publicationStatus":"PW","scienceBaseUri":"58de194be4b02ff32c699c81","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schleis, Susan M. 0000-0002-9396-7856 sschleis@usgs.gov","orcid":"https://orcid.org/0000-0002-9396-7856","contributorId":2858,"corporation":false,"usgs":true,"family":"Schleis","given":"Susan","email":"sschleis@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687392,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186017,"text":"70186017 - 2017 - Effects of the biopesticide Zequanox® on reproduction and early development of the fathead minnow (<i>Pimephales promelas</i>)","interactions":[],"lastModifiedDate":"2017-03-30T15:24:17","indexId":"70186017","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Effects of the biopesticide Zequanox® on reproduction and early development of the fathead minnow (<i>Pimephales promelas</i>)","docAbstract":"<p><span>The biopesticide, Zequanox®, is registered for dreissenid mussel control in open water systems in the United States. Previous toxicity trials with nontarget organisms, including several young-of-the-year fish species and invertebrates, demonstrated selectivity of Zequanox for dreissenid mussels, but data are lacking on the treatment-related effects on reproduction and early life stage development of fish. The present study evaluated the effects of Zequanox on spawning and early life stages of the fathead minnow, </span><i>Pimephales promelas</i><span>, after exposure to the maximum approved concentration [100 mg active ingredient (AI)/L] and exposure duration (8h) for open water application. The results showed no significant treatment-related effect of Zequanox on survival, condition, or cumulative egg production (21 d) in adult fathead minnow. Eggs (≤24 h old) exposed to Zequanox developed to the eyed-stage at a similar rate to that of untreated eggs. Additionally, Zequanox did not have a significant effect on survival and growth (90 d) of newly hatched larvae (≤24-h old). Zequanox may be an option for control of dreissenid mussels in localized open water habitats where concerns exist regarding reproduction and recruitment of cyprinids and related species.</span></p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2017.8.1.12","usgsCitation":"Waller, D.L., and Luoma, J.A., 2017, Effects of the biopesticide Zequanox® on reproduction and early development of the fathead minnow (<i>Pimephales promelas</i>): Management of Biological Invasions, v. 8, no. 1, p. 125-135, https://doi.org/10.3391/mbi.2017.8.1.12.","productDescription":"11 p.","startPage":"125","endPage":"135","ipdsId":"IP-079839","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2017.8.1.12","text":"Publisher Index Page"},{"id":338846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c89","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186030,"text":"70186030 - 2017 - Simulating ungulate herbivory across forest landscapes: A browsing extension for LANDIS-II","interactions":[],"lastModifiedDate":"2017-03-30T11:53:37","indexId":"70186030","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Simulating ungulate herbivory across forest landscapes: A browsing extension for LANDIS-II","docAbstract":"<p><span>Browsing ungulates alter forest productivity and vegetation succession through selective foraging on species that often dominate early succession. However, the long-term and large-scale effects of browsing on forest succession are not possible to project without the use of simulation models. To explore the effects of ungulates on succession in a spatially explicit manner, we developed a Browse Extension that simulates the effects of browsing ungulates on the growth and survival of plant species cohorts within the LANDIS-II spatially dynamic forest landscape simulation model framework. We demonstrate the capabilities of the new extension and explore the spatial effects of ungulates on forest composition and dynamics using two case studies. The first case study examined the long-term effects of persistently high white-tailed deer browsing rates in the northern hardwood forests of the Allegheny National Forest, USA. In the second case study, we incorporated a dynamic ungulate population model to simulate interactions between the moose population and boreal forest landscape of Isle Royale National Park, USA. In both model applications, browsing reduced total aboveground live biomass and caused shifts in forest composition. Simulations that included effects of browsing resulted in successional patterns that were more similar to those observed in the study regions compared to simulations that did not incorporate browsing effects. Further, model estimates of moose population density and available forage biomass were similar to previously published field estimates at Isle Royale and in other moose-boreal forest systems. Our simulations suggest that neglecting effects of browsing when modeling forest succession in ecosystems known to be influenced by ungulates may result in flawed predictions of aboveground biomass and tree species composition.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2017.01.014","usgsCitation":"De Jager, N.R., Drohan, P.J., Miranda, B.M., Sturtevant, B.R., Stout, S.L., Royo, A., Gustafson, E.J., and Romanski, M.C., 2017, Simulating ungulate herbivory across forest landscapes: A browsing extension for LANDIS-II: Ecological Modelling, v. 350, p. 11-29, https://doi.org/10.1016/j.ecolmodel.2017.01.014.","productDescription":"19 p.","startPage":"11","endPage":"29","ipdsId":"IP-076795","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2017.01.014","text":"Publisher Index Page"},{"id":338815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"350","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194be4b02ff32c699c7f","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drohan, Patrick J.","contributorId":190141,"corporation":false,"usgs":false,"family":"Drohan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Brian M.","contributorId":190142,"corporation":false,"usgs":false,"family":"Miranda","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sturtevant, Brian R.","contributorId":190143,"corporation":false,"usgs":false,"family":"Sturtevant","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stout, Susan L.","contributorId":190144,"corporation":false,"usgs":false,"family":"Stout","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":687398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royo, Alejandro","contributorId":190145,"corporation":false,"usgs":false,"family":"Royo","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":687399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gustafson, Eric J.","contributorId":190146,"corporation":false,"usgs":false,"family":"Gustafson","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687400,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Romanski, Mark C.","contributorId":190147,"corporation":false,"usgs":false,"family":"Romanski","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":687401,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70186023,"text":"70186023 - 2017 - Lethal and sub-lethal responses of native freshwater mussels exposed to granular Bayluscide®, a sea lamprey larvicide","interactions":[],"lastModifiedDate":"2017-03-30T12:35:48","indexId":"70186023","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lethal and sub-lethal responses of native freshwater mussels exposed to granular Bayluscide®, a sea lamprey larvicide","docAbstract":"<p><span>The invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) poses a substantial threat to fish communities in the Great Lakes. Efforts to control sea lamprey populations typically involve treating tributary streams with lampricides on a recurring cycle. The presence of a substantial population of larval sea lampreys in the aquatic corridor between Lakes Huron and Erie prompted managers to propose a treatment using the granular formulation of Bayluscide® that targets larval sea lampreys that reside in sediments. However, these treatments could cause adverse effects on native freshwater mussels—imperiled animals that also reside in sediments. We estimated the risk of mortality and sub-lethal effects among eight species of adult and sub-adult mussels exposed to Bayluscide® for durations up to 8&nbsp;h to mimic field applications. Mortality was appreciable in some species, especially in sub-adults (range, 23–51%). The lethal and sub-lethal effects were positively associated with the duration of exposure in most species and life stage combinations. Estimates of the median time of exposure that resulted in lethal and sub-lethal effects suggest that sub-adults were often affected by Bayluscide® earlier than adults. Siphoning activity and burrowing position of mussels during exposure may have moderated the uptake of Bayluscide® and may have influenced lethal and sub-lethal responses. Given that the various species and life stages were differentially affected, it will be difficult to predict the effects of Bayluscide® treatments on mussels.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.12.010","usgsCitation":"Newton, T., Boogaard, M.A., Gray, B.R., Hubert, T.D., and Schloesser, N.A., 2017, Lethal and sub-lethal responses of native freshwater mussels exposed to granular Bayluscide®, a sea lamprey larvicide: Journal of Great Lakes Research, v. 43, no. 2, p. 370-378, https://doi.org/10.1016/j.jglr.2016.12.010.","productDescription":"9 p.","startPage":"370","endPage":"378","ipdsId":"IP-079287","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c85","contributors":{"authors":[{"text":"Newton, Teresa 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":150098,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schloesser, Nicholas A. 0000-0002-3815-5302 nschloesser@usgs.gov","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":169551,"corporation":false,"usgs":false,"family":"Schloesser","given":"Nicholas","email":"nschloesser@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186040,"text":"70186040 - 2017 - Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway","interactions":[],"lastModifiedDate":"2017-11-22T17:03:36","indexId":"70186040","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway","docAbstract":"<p><span>Raptor migration rarely involves long-distance movements across open oceans. One exception occurs along the East-Asian Oceanic Flyway. We collected migration data at two terrestrial hawkwatch sites along this flyway to better understand open-ocean movements along this largely overwater corridor. At the northern end of the Philippines, at Basco on the island of Batan, we recorded 7587 migratory raptors in autumn 2014. Near the southern end of the Philippines, at Cape San Agustin on the island of Mindanao, we recorded 27,399 raptors migrating in autumn 2012. Chinese Sparrowhawks (</span><i>Accipiter soloensis</i><span>) were the most common raptors observed, making up approximately 89% and 92% of total records for Basco and Cape San Agustin, respectively. The Grey-faced Buzzard (</span><i>Butastur indicus</i><span>) was the second most common raptor migrant, accounting for 8% of the total counts at both watch sites. The migration period was about 1–2 wk earlier at Basco, the more northerly site, than at Cape San Agustin. Overwater flights at Basco peaked in both the morning and late afternoon, whereas at Cape San Agustin there was only a morning peak. In general, the rate of migration passage at both sites was highest with clear skies when winds were blowing from the northwest. However, we observed interspecific differences in migration behavior at both sites, with </span><i>Accipiters</i><span> more likely to be observed with tailwinds and eastward winds, and Grey-faced Buzzards more likely observed with headwinds. These results help to characterize poorly known aspects of raptor biology and to identify potential migratory bottlenecks or key sites for raptor conservation in little-studied Philippine tropical ecosystems.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-00001.1","usgsCitation":"Concepcion, C.B., Dumandan, P., Silvosa, M.R., Bildstein, K.L., and Katzner, T., 2017, Species composition, timing, and weather correlates of autumn open-water crossings by raptors migrating along the East-Asian Oceanic Flyway: Journal of Raptor Research, v. 51, no. 1, p. 25-37, https://doi.org/10.3356/JRR-16-00001.1.","productDescription":"13 p.","startPage":"25","endPage":"37","ipdsId":"IP-071451","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.3356/JRR-16-00001.1","text":"External Repository"},{"id":338780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"East-Asian Oceanic Flyway","volume":"51","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1949e4b02ff32c699c79","contributors":{"authors":[{"text":"Concepcion, Camille B.","contributorId":190164,"corporation":false,"usgs":false,"family":"Concepcion","given":"Camille","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":687440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumandan, Patricia T.","contributorId":190165,"corporation":false,"usgs":false,"family":"Dumandan","given":"Patricia T.","affiliations":[],"preferred":false,"id":687441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvosa, Medel R.","contributorId":190166,"corporation":false,"usgs":false,"family":"Silvosa","given":"Medel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":687443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":687439,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186039,"text":"70186039 - 2017 - Veligers of the invasive Asian clam Corbicula fluminea in the Columbia River Basin: Broadscale distribution, abundance, and ecological associations","interactions":[],"lastModifiedDate":"2017-09-18T15:46:35","indexId":"70186039","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Veligers of the invasive Asian clam Corbicula fluminea in the Columbia River Basin: Broadscale distribution, abundance, and ecological associations","docAbstract":"<p><span>The invasive Asian clam </span><i>Corbicula fluminea</i><span> was introduced to North America in the 1930s and now inhabits most regions of the conterminous United States; however, the distribution and ecology of </span><i>C. fluminea</i><span> in the Columbia River Basin is poorly understood. During 2013 and 2014, 5 Columbia-Snake River reservoirs were sampled monthly from May through September, along with 23 additional lakes and reservoirs sampled once each summer. Associations among </span><i>C. fluminea</i><span> veligers, other components of the plankton, and environmental variables were analyzed using non-metric multidimensional scaling and canonical correspondence analysis. </span><i>Corbicula fluminea</i><span> veligers were found in high abundances in all mainstem Columbia-Snake River reservoirs, with an annual mean abundance of 71.2 individuals per cubic meter (inds./m</span><sup>3</sup><span>). Only 3 of 23 lakes and (non-mainstem) reservoirs contained </span><i>C. fluminea</i><span>, with abundances considerably lower (maximum = 21.2&nbsp;inds./m</span><sup>3</sup><span>) than in the mainstem reservoirs. A diatom-dominated community preceded the spawning of </span><i>C. fluminea</i><span> in early summer at all sites. </span><i>Corbicula fluminea</i><span> veligers characterized the plankton community in late summer and were associated with cyanobacteria and high water temperatures. A third community, characterized by cyanobacteria, was apparent in non-mainstem sites in July and August. Our analyses describe the relationship of </span><i>C. fluminea</i><span> to the plankton community and environment, which contributes to our understanding of the possible effects of </span><i>C. fluminea</i><span> infestations and which waterbodies in the Columbia River Basin are at risk for infestation. Understanding the effects and environmental determinants of invasive mollusks will be increasingly important in the future with the possible arrival of zebra (</span><i>Dreissena polymorpha</i><span>) or quagga (</span><i>D. bugensis</i><span>) mussels to the region.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2017.1294218","usgsCitation":"Hassett, W., Bollens, S.M., Counihan, T.D., Rollwagen-Bollens, G., Zimmerman, J., and Emerson, J.E., 2017, Veligers of the invasive Asian clam Corbicula fluminea in the Columbia River Basin: Broadscale distribution, abundance, and ecological associations: Lake and Reservoir Management, v. 33, no. 3, p. 234-248, https://doi.org/10.1080/10402381.2017.1294218.","productDescription":"15 p.","startPage":"234","endPage":"248","ipdsId":"IP-072926","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":338810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-24","publicationStatus":"PW","scienceBaseUri":"58de194ae4b02ff32c699c7b","contributors":{"authors":[{"text":"Hassett, Whitney","contributorId":190161,"corporation":false,"usgs":false,"family":"Hassett","given":"Whitney","email":"","affiliations":[],"preferred":false,"id":687434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollens, Stephen M. 0000-0001-9214-9037","orcid":"https://orcid.org/0000-0001-9214-9037","contributorId":148958,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":687435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":687433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rollwagen-Bollens, Gretchen","contributorId":190162,"corporation":false,"usgs":false,"family":"Rollwagen-Bollens","given":"Gretchen","email":"","affiliations":[],"preferred":false,"id":687436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Julie","contributorId":190163,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Julie","affiliations":[],"preferred":false,"id":687437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emerson, Joshua E.","contributorId":148957,"corporation":false,"usgs":false,"family":"Emerson","given":"Joshua","email":"","middleInitial":"E.","affiliations":[{"id":17602,"text":"School of the Environment, Washington State University, Vancouver, WA  98686","active":true,"usgs":false}],"preferred":false,"id":687438,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186019,"text":"70186019 - 2017 - Spatial and temporal relationships between the invasive snail <i>Bithynia tentaculata</i> and submersed aquatic vegetation in Pool 8 of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2017-06-07T10:23:14","indexId":"70186019","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal relationships between the invasive snail <i>Bithynia tentaculata</i> and submersed aquatic vegetation in Pool 8 of the Upper Mississippi River","docAbstract":"<p><i>Bithynia tentaculata</i><span> is an invasive snail that was first reported in Lake Michigan in 1871 and has since spread throughout a number of freshwater systems of the USA. This invasion has been extremely problematic in the Upper Mississippi River as the snails serve as intermediate hosts for several trematode parasites that have been associated with waterfowl mortality in the region. This study was designed to assess the abundance and distribution of </span><i>B</i><span>. </span><i>tentaculata</i><span> relative to submersed aquatic vegetation as macrophytes provide important nesting and food resources for migrating waterfowl. Temporal changes in both vegetation and snail densities were compared between 2007 and 2015. Between these years, </span><i>B</i><span>. </span><i>tentaculata</i><span> densities have nearly quadrupled despite minor changes in vegetation abundance, distribution and composition. Understanding the spatial distribution of </span><i>B</i><span>. </span><i>tentaculata</i><span> in relation to other habitat features, including submersed vegetation, and quantifying any further changes in the abundance and distribution of </span><i>B</i><span>. </span><i>tentaculata</i><span> over time will be important for better identifying areas of risk for disease transmission to waterfowl.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3123","usgsCitation":"Weeks, A.M., De Jager, N.R., Haro, R.J., and Sandland, G., 2017, Spatial and temporal relationships between the invasive snail <i>Bithynia tentaculata</i> and submersed aquatic vegetation in Pool 8 of the Upper Mississippi River: River Research and Applications, v. 33, no. 5, p. 729-739, https://doi.org/10.1002/rra.3123.","productDescription":"11 p.","startPage":"729","endPage":"739","ipdsId":"IP-079774","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c87","contributors":{"authors":[{"text":"Weeks, Alicia M.","contributorId":190136,"corporation":false,"usgs":false,"family":"Weeks","given":"Alicia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Roger J.","contributorId":139538,"corporation":false,"usgs":false,"family":"Haro","given":"Roger","email":"","middleInitial":"J.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":687361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandland, Greg J.","contributorId":190137,"corporation":false,"usgs":false,"family":"Sandland","given":"Greg J.","affiliations":[],"preferred":false,"id":687362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186013,"text":"70186013 - 2017 - Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","interactions":[],"lastModifiedDate":"2017-03-30T09:25:38","indexId":"70186013","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","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":"Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","docAbstract":"<p><span>Increased nutrient and sediment loading in rivers have caused observable changes in algal community composition, and thereby, altered the quality and quantity of food resources available to native freshwater mussels. Our objective was to characterize the relationship between nutrient conditions and mussel food quality and examine the effects on fatty acid composition, growth and survival of juvenile mussels. Juvenile </span><i>Lampsilis cardium</i><span> and </span><i>L</i><span>. </span><i>siliquoidea</i><span> were deployed in cages for 28 d at four riverine and four lacustrine sites in the lower St. Croix River, Minnesota/Wisconsin, USA. Mussel foot tissue and food resources (four seston fractions and surficial sediment) were analyzed for quantitative fatty acid (FA) composition. Green algae were abundant in riverine sites, whereas cyanobacteria were most abundant in the lacustrine sites. Mussel survival was high (95%) for both species. </span><i>Lampsilis cardium</i><span> exhibited lower growth relative to </span><i>L</i><span>. </span><i>siliquoidea</i><span> (p &lt;0.0001), but growth of </span><i>L</i><span>. </span><i>cardium</i><span> was not significantly different across sites (p = 0.13). In contrast, growth of </span><i>L</i><span>. </span><i>siliquoidea</i><span> was significantly greater at the most upstream riverine site compared to the lower three lacustrine sites (p = 0.002). </span><i>In situ</i><span> growth of </span><i>Lampsilis siliquoidea</i><span> was positively related to volatile solids (10 – 32 μm fraction), total phosphorus (&lt;10 and 10 – 32 μm fractions), and select FA in the seston (docosapentaeonic acid, DPA, 22:5n3; 4,7,10,13,16-docosapentaenoic, 22:5n6; arachidonic acid, ARA, 20:4n6; and 24:0 in the &lt;10 and 10 – 32 μm fractions). Our laboratory feeding experiment also indicated high accumulation ratios for 22:5n3, 22:5n6, and 20:4n6 in mussel tissue relative to supplied algal diet. In contrast, growth of </span><i>L</i><span>. </span><i>siliquiodea</i><span> was negatively related to nearly all FAs in the largest size fraction (i.e., &gt;63 μm) of seston, including the bacterial FAs, and several of the FAs associated with sediments. Reduced mussel growth was observed in </span><i>L</i><span>. </span><i>siliquoidea</i><span> when the abundance of cyanobacteria exceeded 9% of the total phytoplankton biovolume. Areas dominated by cyanobacteria may not provide sufficient food quality to promote or sustain mussel growth.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0173419","usgsCitation":"Bartsch, M.R., Bartsch, L., Richardson, W.B., Vallazza, J.M., and Moraska Lafrancois, B., 2017, Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels: PLoS ONE, v. 12, no. 3, e0173419; 26 p., https://doi.org/10.1371/journal.pone.0173419.","productDescription":"e0173419; 26 p.","ipdsId":"IP-080604","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0173419","text":"Publisher Index Page"},{"id":338773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Croix River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.328857421875,\n              44.68818283842486\n            ],\n            [\n              -91.4227294921875,\n              44.68818283842486\n            ],\n            [\n              -91.4227294921875,\n              46.426499019253\n            ],\n            [\n              -93.328857421875,\n              46.426499019253\n            ],\n            [\n              -93.328857421875,\n              44.68818283842486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c8b","contributors":{"authors":[{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moraska Lafrancois, Brenda","contributorId":190133,"corporation":false,"usgs":false,"family":"Moraska Lafrancois","given":"Brenda","email":"","affiliations":[],"preferred":false,"id":687349,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186025,"text":"70186025 - 2017 - Full annual cycle climate change vulnerability assessment for migratory birds","interactions":[],"lastModifiedDate":"2017-03-30T12:19:21","indexId":"70186025","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Full annual cycle climate change vulnerability assessment for migratory birds","docAbstract":"<p><span>Climate change is a serious challenge faced by all plant and animal species. Climate change vulnerability assessments (CCVAs) are one method to assess risk and are increasingly used as a tool to inform management plans. Migratory animals move across regions and continents during their annual cycles where they are exposed to diverse climatic conditions. Climate change during any period and in any region of the annual cycle could influence survival, reproduction, or the cues used to optimize timing of migration. Therefore, CCVAs for migratory animals best estimate risk when they include climate exposure during the entire annual cycle. We developed a CCVA incorporating the full annual cycle and applied this method to 46 species of migratory birds breeding in the Upper Midwest and Great Lakes (UMGL) region of the United States. Our methodology included background risk, climate change exposure&nbsp;×&nbsp;climate sensitivity, adaptive capacity to climate change, and indirect effects of climate change. We compiled information about migratory connectivity between breeding and stationary non-breeding areas using literature searches and U.S. Geological Survey banding and re-encounter data. Climate change exposure (temperature and moisture) was assessed using UMGL breeding season climate and winter climate from non-breeding regions for each species. Where possible, we focused on non-breeding regions known to be linked through migratory connectivity. We ranked 10 species as highly vulnerable to climate change and two as having low vulnerability. The remaining 34 species were ranked as moderately vulnerable. In general, including non-breeding data provided more robust results that were highly individualistic by species. Two species were found to be highly vulnerable throughout their annual cycle. Projected drying will have the greatest effect during the non-breeding season for species overwintering in Mexico and the Caribbean. Projected temperature increases will have the greatest effect during the breeding season in UMGL as well as during the non-breeding season for species overwintering in South America. We provide a model for adaptive management of migratory animals in the face of projected climate change, including identification of priority species, research needs, and regions within non-breeding ranges for potential conservation partnerships.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1565","usgsCitation":"Culp, L.A., Cohen, E.B., Scarpignato, A.L., Thogmartin, W.E., and Marra, P.P., 2017, Full annual cycle climate change vulnerability assessment for migratory birds: Ecological Applications, v. 8, no. 3, e01565; 22 p., https://doi.org/10.1002/ecs2.1565.","productDescription":"e01565; 22 p.","ipdsId":"IP-078803","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1565","text":"Publisher Index Page"},{"id":338822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-06","publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c83","contributors":{"authors":[{"text":"Culp, Leah A.","contributorId":190138,"corporation":false,"usgs":false,"family":"Culp","given":"Leah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":687379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scarpignato, Amy L.","contributorId":190139,"corporation":false,"usgs":false,"family":"Scarpignato","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":687380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":687377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":687381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185994,"text":"70185994 - 2017 - Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate","interactions":[],"lastModifiedDate":"2017-06-07T13:55:04","indexId":"70185994","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate","docAbstract":"<p><span>Sex determination mechanisms in fishes lie along a genetic-environmental continuum and thereby offer opportunities to understand how physiology and environment interact to determine sex. Mechanisms and ecological consequences of sex determination in fishes are primarily garnered from teleosts, with little investigation into basal fishes. We tagged and released larval sea lamprey (</span><i>Petromyzon marinus</i><span>) into unproductive lake and productive stream environments. Sex ratios produced from these environments were quantified by recapturing tagged individuals as adults. Sex ratios from unproductive and productive environments were initially similar. However, sex ratios soon diverged, with unproductive environments becoming increasingly male-skewed and productive environments becoming less male-skewed with time. We hypothesize that slower growth in unproductive environments contributed to the sex ratio differences by directly influencing sex determination. To the best of our knowledge, this is the first study suggesting that growth rate in a fish species directly influences sex determination; other studies have suggested that the environmental variables to which sex determination is sensitive (e.g. density, temperature) act as cues for favourable or unfavourable growth conditions. Understanding mechanisms of sex determination in lampreys may provide unique insight into the underlying principles of sex determination in other vertebrates and provide innovative approaches for their management where valued and invasive.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.0262","usgsCitation":"Johnson, N., Swink, W.D., and Brenden, T.O., 2017, Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate: Proceedings of the Royal Society B: Biological Sciences, v. 284, no. 1851, Article 20170262; 5 p., https://doi.org/10.1098/rspb.2017.0262.","productDescription":"Article 20170262; 5 p.","ipdsId":"IP-084101","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.0262","text":"Publisher Index Page"},{"id":338856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1851","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"58de194de4b02ff32c699c8f","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":687278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swink, William D.","contributorId":126758,"corporation":false,"usgs":false,"family":"Swink","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":6595,"text":"Retired USGS Fishery Biologist","active":true,"usgs":false}],"preferred":false,"id":687279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, Travis O.","contributorId":126759,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":687280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185601,"text":"ofr20171034 - 2017 - Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production","interactions":[],"lastModifiedDate":"2017-03-30T12:15:26","indexId":"ofr20171034","displayToPublicDate":"2017-03-29T17:45:00","publicationYear":"2017","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":"2017-1034","title":"Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production","docAbstract":"<h1>Executive Summary</h1><p>The use of Landsat satellite imagery for global agricultural monitoring began almost immediately after the launch of Landsat 1 in 1972, making agricultural monitoring one of the longest-standing operational applications for the Landsat program. More recently, Landsat imagery has been used in domestic agricultural applications as an input for field-level production management. The enactment of the U.S. Geological Survey’s free and open data policy in 2008 and the launch of Landsat 8 in 2013 have both influenced agricultural applications. This report presents two primary sets of case studies on the applications and benefits of Landsat imagery use in agriculture. The first set examines several operational applications within the U.S. Department of Agriculture (USDA) and the second focuses on private sector applications for agronomic management. &nbsp;</p><p>Information on the USDA applications is provided in the U.S. Department of Agriculture Uses of Landsat Imagery for Global and Domestic Agricultural Monitoring section of the report in the following subsections:</p><ul><li><i>Estimating Crop Production</i>.—Provides an overview of how Landsat satellite imagery is used to estimate crop production, including the spectral bands most frequently utilized in this application.</li><li><i>Monitoring Consumptive Water Use</i>.—Highlights the role of Landsat imagery in monitoring consumptive water use for agricultural production. Globally, a significant amount of agricultural production relies on irrigation, so monitoring water resources is a critical component of agricultural monitoring. <br></li><li><i>National Agricultural Statistics Service</i>—Cropland Data Layer.—Highlights the use of Landsat imagery in developing the annual Cropland Data Layer, a crop-specific land cover classification product that provides information on more than 100 crop categories grown in the United States.&nbsp;</li><li><i>Foreign Agricultural Service</i>—Global Agricultural Monitoring.—Highlights Landsat’s role in monitoring global agricultural production. The USDA has been using Landsat imagery to monitor global agricultural production since the launch of Landsat 1 in 1972. Landsat imagery provides objective, global input for a number of USDA agricultural programs and plays an important role in economic and food security forecasting.</li><li><i>U.S. Department of Agriculture</i>—Satellite Imagery Archive.—Highlights a number of the experiences of the USDA in acquiring, sharing, and managing moderate resolution imagery to support the diversity of USDA operational programs.&nbsp;</li></ul><p>Private sector applications using Landsat imagery for agricultural management are discussed in the Landsat Imagery Use and Benefits in Field-Level Agricultural Production Management section of the report in the following subsections:</p><ul><li><i>Field-Level Management</i>.—Provides an introduction to what field-level production management is and how it can be applied to agricultural management. This section explores the concept of zone mapping and how Landsat imagery can be used to identify different conditions within a field. The section also provides a case study of zone-mapping software, developed by GK Technology, Inc., that is used by numerous agricultural consultants.</li><li><i>Putting Zone Maps to Work</i>.—Highlights several case studies of private agricultural consultants who have been using Landsat imagery to develop zone maps for farmers. Landsat imagery is helping consultants and farmers optimize agricultural inputs, including fertilizer and seed, which leads to higher yield and economic return for the farmer.</li><li><i>Increasing Yield</i>.—Highlights the primary benefit of zone mapping using Landsat imagery. Using 5-year market average prices for a number of commodities, this section provides examples of how yield increases translate into higher returns for farmers.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171034","usgsCitation":"Leslie, C.R., Serbina, L.O., and Miller, H.M., 2017, Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production: U.S. Geological Survey Open-File Report 2017–1034, 27 p., https://doi.org/10.3133/ofr20171034. ","productDescription":"vi, 27 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-074917","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":338573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1034/coverthb.jpg"},{"id":338574,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1034/ofr20171034.pdf","text":"Report","size":"6.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1034"}],"contact":"<p>Director, Fort Collins Science Center&nbsp;<br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p><p><a href=\"http://www.fort.usgs.gov/\" data-mce-href=\"http://www.fort.usgs.gov/\">http://www.fort.usgs.gov/</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>U.S. Department of Agriculture Uses of Landsat Imagery for Global and Domestic Agricultural Monitoring</li><li>Landsat Imagery Use and Benefits in Field-Level Agricultural Production Management</li><li>Conclusion</li><li>References</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-03-29","noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"58dcc7cfe4b02ff32c68565b","contributors":{"authors":[{"text":"Leslie, Colin R.","contributorId":167359,"corporation":false,"usgs":false,"family":"Leslie","given":"Colin","email":"","middleInitial":"R.","affiliations":[{"id":24700,"text":"Student contractor","active":true,"usgs":false}],"preferred":false,"id":686079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Serbina, Larisa O.","contributorId":189807,"corporation":false,"usgs":false,"family":"Serbina","given":"Larisa O.","affiliations":[],"preferred":false,"id":686080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":686078,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185808,"text":"70185808 - 2017 - Manatee grazing impacts on a mixed species seagrass bed","interactions":[],"lastModifiedDate":"2017-03-29T15:36:34","indexId":"70185808","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Manatee grazing impacts on a mixed species seagrass bed","docAbstract":"<p><span>The endangered manatee </span><i>Trichechus manatus</i><span> is one of few large grazers in seagrass systems. To assess the long-term impacts of repeated grazing on seagrasses, we selected a study site within Kennedy Space Center in the northern Banana River, Brevard County, Florida, that was typically grazed by large numbers of manatees in spring. Two 13x13 m manatee exclosures and 2 paired open plots of equal size were established at the study site in October 1990. Shoot counts, biomass, and species composition of the co-dominant seagrass species, </span><i>Syringodium filiforme</i><span> and </span><i>Halodule wrightii</i><span>, were sampled 3 times per year in all 4 plots between October 1990 and October 1994. We used a Bayesian modelling approach, accounting for the influence of depth, to detect treatment (exclosed vs. open) effects. </span><i>S. filiforme</i><span> shoot counts, total biomass, and frequency of occurrence significantly increased in the exclosures. By July 1993, mean biomass values in the exclosures (167 g dry wt m</span><sup>-2</sup><span>) greatly exceeded those in the open plots (28 g dry wt m</span><sup>-2</sup><span>). </span><i>H. wrightii</i><span> decreased in the exclosures by 1994. Initially, both </span><i>S. filiforme</i><span> and </span><i>H. wrightii</i><span> responded positively to release from manatee grazing pressure. As </span><i>S. filiforme</i><span> continued to become denser in the exclosures, it gradually replaced </span><i>H. wrightii</i><span>. Our findings may be helpful to biologists and managers interested in predicting seagrass recovery and manatee carrying capacity of repeatedly grazed seagrass beds in areas of special significance to manatees and seagrass conservation.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11986","collaboration":"InoMedic Health Applications, Inc;National Oceanic and Atmospheric Administrationmahon","usgsCitation":"Lefebvre, L.W., Provancha, J.A., Slone, D., and Kenworthy, W.J., 2017, Manatee grazing impacts on a mixed species seagrass bed: Marine Ecology Progress Series, v. 564, p. 29-45, https://doi.org/10.3354/meps11986.","productDescription":"17 p.","startPage":"29","endPage":"45","ipdsId":"IP-072284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":338694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"564","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d1e4b02ff32c68565d","contributors":{"authors":[{"text":"Lefebvre, Lynn W. 0000-0002-4464-6263 llefebvre@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6263","contributorId":1614,"corporation":false,"usgs":true,"family":"Lefebvre","given":"Lynn","email":"llefebvre@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":686787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provancha, Jane A.","contributorId":190011,"corporation":false,"usgs":false,"family":"Provancha","given":"Jane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":686788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenworthy, W. Judson","contributorId":190012,"corporation":false,"usgs":false,"family":"Kenworthy","given":"W.","email":"","middleInitial":"Judson","affiliations":[],"preferred":false,"id":686789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188401,"text":"70188401 - 2017 - Characterizing local variability in long‐period horizontal tilt noise","interactions":[],"lastModifiedDate":"2017-06-08T11:54:22","indexId":"70188401","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing local variability in long‐period horizontal tilt noise","docAbstract":"Horizontal seismic data are dominated by atmospherically induced tilt noise at long periods (i.e., 30 s and greater). Tilt noise limits our ability to use horizontal data for sensitive seismological studies such as observing free earth modes. To better understand the local spatial variability of long‐period horizontal noise, we observe horizontal noise during quiet time periods in the Albuquerque Seismological Laboratory (ASL) underground vault using four small‐aperture array configurations. Each array comprises eight Streckeisen STS‐2 broadband seismometers. We analyze the spectral content of the data using power spectral density and magnitude‐squared coherence (γ2‐coherence). Our results show a high degree of spatial variability and frequency dependence in the long‐period horizontal wavefield. The variable nature of long‐period horizontal noise in the ASL vault suggests that it might be highly local in nature and not easily characterized by simple physical models when overall noise levels are low, making it difficult to identify locations in the vault with lower horizontal noise. This variability could be limiting our ability to apply coherence analysis for estimating horizontal sensor self‐noise and could also complicate various indirect methods for removing long‐period horizontal noise (e.g., collocated rotational sensor or microbarograph).","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160193","usgsCitation":"Rohde, M., Ringler, A.T., Hutt, C.R., Wilson, D.C., Holland, A., Sandoval, L., and Storm, T., 2017, Characterizing local variability in long‐period horizontal tilt noise: Seismological Research Letters, v. 88, no. 3, p. 822-830, https://doi.org/10.1785/0220160193.","productDescription":"9 p. ","startPage":"822","endPage":"830","ipdsId":"IP-082062","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Albuquerque","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.49322509765624,\n              35.20411123432418\n            ],\n            [\n              -106.55776977539062,\n              35.21645362659458\n            ],\n            [\n              -106.66763305664062,\n              35.238889532322595\n            ],\n            [\n              -106.75140380859374,\n              35.232159412017154\n            ],\n            [\n       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aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Austin 0000-0002-7843-1981 aaholland@usgs.gov","orcid":"https://orcid.org/0000-0002-7843-1981","contributorId":173969,"corporation":false,"usgs":true,"family":"Holland","given":"Austin","email":"aaholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandoval, L.D","contributorId":192735,"corporation":false,"usgs":false,"family":"Sandoval","given":"L.D","affiliations":[],"preferred":false,"id":697601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Storm, Tyler 0000-0002-6787-9545 tstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-9545","contributorId":152165,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697602,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70185712,"text":"70185712 - 2017 - Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean","interactions":[],"lastModifiedDate":"2018-03-29T11:17:18","indexId":"70185712","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean","docAbstract":"<p><span>Recent investigations of demersal fish communities in deepwater (&gt;50 m) habitats have considerably increased our knowledge of the factors that influence the assemblage structure of fishes across mesophotic to deep-sea depths. While different habitat types influence deepwater fish distribution, whether different types of rugged seafloor features </span><span>provide functionally equivalent habitat for fishes is poorly understood. In the northeastern Caribbean, different types of rugged features (e.g., seamounts, banks, canyons) punctuate insular margins, and thus create a remarkable setting in which to compare demersal fish communities across various features. Concurrently, several water masses are vertically layered in the water column, creating strong stratification layers corresponding to specific abiotic conditions. In this study, we examined differences among fish assemblages across different features (e.g., seamount, canyon, bank/ridge) and water masses at depths ranging from 98 to 4060</span><span>&nbsp;</span><span>m in the northeastern Caribbean. We conducted 26 remotely operated vehicle dives across 18 sites, identifying 156 species of which 42% of had not been previously recorded from particular depths or localities in the region. While rarefaction curves indicated fewer species at seamounts than at other features in the NE Caribbean, assemblage structure was similar among the different types of features. Thus, similar to seamount studies in other regions, seamounts in the Anegada Passage do not harbor distinct communities from other types of rugged features. Species assemblages, however, differed among depths, with zonation generally corresponding to water mass boundaries in the region. High species turnover occurred at depths &lt;1200</span><span>&nbsp;</span><span>m, and may be driven by changes in water mass characteristics including temperature (4.8–24.4</span><span>&nbsp;</span><span>°C) and dissolved oxygen (2.2–9.5</span><span>&nbsp;</span><span>mg per l). Our study suggests the importance of water masses in influencing community structure of&nbsp;benthic fauna, while considerably adding to the knowledge of mesophotic and deep-sea fish biogeography.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2017.03.009","usgsCitation":"Quattrini, A.M., Demopoulos, A., Singer, R., Roa-Varon, A., and Chaytor, J., 2017, Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean: Deep-Sea Research Part I: Oceanographic Research Papers, v. 123, p. 90-104, https://doi.org/10.1016/j.dsr.2017.03.009.","productDescription":"15 p.","startPage":"90","endPage":"104","ipdsId":"IP-083697","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469984,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/1912/9076","text":"Publisher Index Page"},{"id":438403,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3X4M","text":"USGS data release","linkHelpText":"Demersal fish assemblages on seamounts and other rugged features in the northeastern Caribbean"},{"id":338541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d4e4b02ff32c68566b","contributors":{"authors":[{"text":"Quattrini, Andrea M. aquattrini@usgs.gov","contributorId":149346,"corporation":false,"usgs":true,"family":"Quattrini","given":"Andrea","email":"aquattrini@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":371,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda W.J.","email":"ademopoulos@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":686499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Randal","contributorId":189929,"corporation":false,"usgs":false,"family":"Singer","given":"Randal","email":"","affiliations":[],"preferred":false,"id":686501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roa-Varon, Adela","contributorId":189930,"corporation":false,"usgs":false,"family":"Roa-Varon","given":"Adela","affiliations":[],"preferred":false,"id":686502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686503,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185702,"text":"70185702 - 2017 - Neonicotinoid insecticide removal by prairie strips in row-cropped watersheds with historical seed coating use","interactions":[],"lastModifiedDate":"2017-03-29T10:07:00","indexId":"70185702","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Neonicotinoid insecticide removal by prairie strips in row-cropped watersheds with historical seed coating use","docAbstract":"Neonicotinoids are a widely used class of insecticides that are commonly applied as seed coatings for agricultural crops. Such neonicotinoid use may pose a risk to non-target insects, including pollinators and natural enemies of crop pests, and ecosystems. This study assessed neonicotinoid residues in groundwater, surface runoff water, soil, and native plants adjacent to corn and soybean crop fields with a history of being planted with neonicotinoid-treated seeds from 2008-2013. Data from six sites with the same crop management history, three with and three without in-field prairie strips, were collected in 2015-2016, 2-3 years after neonicotinoid (clothianidin and imidacloprid) seed treatments were last used. Three of the six neonicotinoids analyzed were detected in at least one environmental matrix: the two applied as seed coatings on the fields (clothianidin and imidacloprid) and another widely used neonicotinoid (thiamethoxam). Sites with prairie strips generally had lower concentrations of neonicotinoids: groundwater and footslope soil neonicotinoid concentrations were significantly lower in the sites with prairie strips than those without; mean concentrations for groundwater were 11 and 20 ng/L (p = 0.048) and <1 and 6 ng/g (p = 0.0004) for soil, respectively. Surface runoff water concentrations were not significantly (p = 0.38) different for control sites (44 ng/L) or sites with prairie strips (140 ng/L). Consistent with the decreased inputs of neonicotinoids, concentrations tended to decrease over the sampling timeframe. Two sites recorded concentration increases, however, potentially due to disturbance of previous applications or influence from nearby fields where use of seed treatments continued. There were no detections (limit of detection: 1 ng/g) of neonicotinoids in the foliage or roots of plants comprising prairie strips, indicating a low likelihood of exposure to pollinators and other insects visiting these plants following the cessation of seed coating use. Offsite transport of neonicotinoids to aquatic systems through the groundwater and surface water were furthermore reduced with prairie strips. This study demonstrates the potential for prairie strips comprising 10% of an agricultural catchment to mitigate the non-target impacts of neonicotinoids.","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2017.03.015","usgsCitation":"Hladik, M., Bradbury, S., Schulte, L.A., Helmers, M., Witte, C., Kolpin, D.W., Garrett, J.D., and Harris, M., 2017, Neonicotinoid insecticide removal by prairie strips in row-cropped watersheds with historical seed coating use: Agriculture, Ecosystems and Environment, v. 241, p. 160-167, https://doi.org/10.1016/j.agee.2017.03.015.","productDescription":"8 p.","startPage":"160","endPage":"167","ipdsId":"IP-083340","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488600,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/209","text":"External Repository"},{"id":338539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"241","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d4e4b02ff32c68566d","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":686445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Steven","contributorId":177603,"corporation":false,"usgs":false,"family":"Bradbury","given":"Steven","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":686446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulte, Lisa A.","contributorId":177987,"corporation":false,"usgs":false,"family":"Schulte","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":686447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, Matthew","contributorId":189905,"corporation":false,"usgs":false,"family":"Helmers","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":686448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witte, Christopher","contributorId":189906,"corporation":false,"usgs":false,"family":"Witte","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":686449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":686450,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":686452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harris, Mary","contributorId":189907,"corporation":false,"usgs":false,"family":"Harris","given":"Mary","email":"","affiliations":[],"preferred":false,"id":686451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70185736,"text":"70185736 - 2017 - Ecology of the macrophyte <i>Podostemum ceratophyllum</i> Michx. (Hornleaf riverweed), a widespread foundation species of eastern North American rivers","interactions":[],"lastModifiedDate":"2017-03-29T10:01:20","indexId":"70185736","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"title":"Ecology of the macrophyte <i>Podostemum ceratophyllum</i> Michx. (Hornleaf riverweed), a widespread foundation species of eastern North American rivers","docAbstract":"<p><i>Podostemum ceratophyllum</i><span>, commonly called Hornleaf Riverweed, occurs in mid-order montane and piedmont rivers of eastern North America, where the plant grows submerged and attached to rocks and stable substrates in swift, aerated water. Multiple studies, mostly conducted in the southern portions of the plant’s range, have shown that </span><i>Podostemum</i><span> can variously influence benthic communities in flowing waters. However, a synthetic review of the biology and ecology of the plant is needed to inform conservation, particularly because </span><i>P. ceratophyllum</i><span> is reported to be in decline in much of its range, for mostly unknown reasons. We have thus summarized the literature showing that </span><i>Podostemum</i><span> provides substantial habitat for invertebrates and fish, may be consumed by invertebrates, turtles, and other vertebrates, removes and sequesters dissolved elements (i.e., nitrogen, phosphorus, calcium, zinc, etc.) from the water column, and contributes organic matter to the detrital pool. </span><i>Podostemum</i><span> may be tolerant to some forms of pollution but appears vulnerable to sedimentation, epiphytic over-growth, and hydrologic changes that result in desiccation, and possibly increased herbivory pressure. Much remains unknown about </span><i>Podostemum</i><span>, including aspects of morphological variation, seed dispersal, and tolerance to changes in temperature and water chemistry. Nonetheless, </span><i>Podostemum</i><span> may be considered a foundation species, whose loss from eastern North American rivers is likely to affect higher trophic levels and ecosystem processes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2017.02.009","usgsCitation":"Wood, J., and Freeman, M., 2017, Ecology of the macrophyte <i>Podostemum ceratophyllum</i> Michx. (Hornleaf riverweed), a widespread foundation species of eastern North American rivers: Aquatic Botany, v. 139, p. 65-74, https://doi.org/10.1016/j.aquabot.2017.02.009.","productDescription":"10 p.","startPage":"65","endPage":"74","ipdsId":"IP-084003","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":338537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d3e4b02ff32c685667","contributors":{"authors":[{"text":"Wood, James","contributorId":174400,"corporation":false,"usgs":false,"family":"Wood","given":"James","affiliations":[],"preferred":false,"id":686750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":686578,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185744,"text":"70185744 - 2017 - Clarifying atomic weights: A 2016 four-figure table of standard and conventional atomic weights","interactions":[],"lastModifiedDate":"2017-03-29T09:55:45","indexId":"70185744","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2206,"text":"Journal of Chemical Education","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying atomic weights: A 2016 four-figure table of standard and conventional atomic weights","docAbstract":"<p><span>To indicate that atomic weights of many elements are not constants of nature, in 2009 and 2011 the Commission on Isotopic Abundances and Atomic Weights (CIAAW) of the International Union of Pure and Applied Chemistry (IUPAC) replaced single-value standard atomic weight values with atomic weight intervals for 12 elements (hydrogen, lithium, boron, carbon, nitrogen, oxygen, magnesium, silicon, sulfur, chlorine, bromine, and thallium); for example, the standard atomic weight of nitrogen became the interval [14.00643, 14.00728]. CIAAW recognized that some users of atomic weight data only need representative values for these 12 elements, such as for trade and commerce. For this purpose, CIAAW provided conventional atomic weight values, such as 14.007 for nitrogen, and these values can serve in education when a single representative value is needed, such as for molecular weight calculations. Because atomic weight values abridged to four figures are preferred by many educational users and are no longer provided by CIAAW as of 2015, we provide a table containing both standard atomic weight values and conventional atomic weight values abridged to four figures for the chemical elements. A retrospective review of changes in four-digit atomic weights since 1961 indicates that changes in these values are due to more accurate measurements over time or to the recognition of the impact of natural isotopic fractionation in normal terrestrial materials upon atomic weight values of many elements. Use of the unit “u” (unified atomic mass unit on the carbon mass scale) with atomic weight is incorrect because the quantity atomic weight is dimensionless, and the unit “amu” (atomic mass unit on the oxygen scale) is an obsolete term: Both should be avoided.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.jchemed.6b00510","usgsCitation":"Coplen, T.B., Meyers, F., and Holden, N.E., 2017, Clarifying atomic weights: A 2016 four-figure table of standard and conventional atomic weights: Journal of Chemical Education, v. 94, no. 3, p. 311-319, https://doi.org/10.1021/acs.jchemed.6b00510.","productDescription":"9 p.","startPage":"311","endPage":"319","ipdsId":"IP-079688","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438402,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7668B9R","text":"USGS data release","linkHelpText":"Four-place table of standard atomic weight values of hydrogen through uranium compared since 1961"},{"id":438401,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79Z9315","text":"USGS data release","linkHelpText":"Standard and conventional atomic weights 2016 abridged to four significant digits"},{"id":338533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-30","publicationStatus":"PW","scienceBaseUri":"58dcc7d3e4b02ff32c685661","chorus":{"doi":"10.1021/acs.jchemed.6b00510","url":"http://dx.doi.org/10.1021/acs.jchemed.6b00510","publisher":"American Chemical Society (ACS)","authors":"Coplen Tyler B., Meyers Fabienne, Holden Norman E.","journalName":"Journal of Chemical Education","publicationDate":"1/30/2017"},"contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyers, Fabienne","contributorId":189963,"corporation":false,"usgs":false,"family":"Meyers","given":"Fabienne","email":"","affiliations":[],"preferred":false,"id":686618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Norman E.","contributorId":189167,"corporation":false,"usgs":false,"family":"Holden","given":"Norman","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":686619,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185743,"text":"70185743 - 2017 - Ecosystem variability along the estuarine salinity gradient: Examples from long-term study of San Francisco Bay","interactions":[],"lastModifiedDate":"2017-11-29T16:42:03","indexId":"70185743","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem variability along the estuarine salinity gradient: Examples from long-term study of San Francisco Bay","docAbstract":"<p><span>The salinity gradient of estuaries plays a unique and fundamental role in structuring spatial patterns of physical properties, biota, and biogeochemical processes. We use variability along the salinity gradient of San Francisco Bay to illustrate some lessons about the diversity of spatial structures in estuaries and their variability over time. Spatial patterns of dissolved constituents (e.g., silicate) can be linear or nonlinear, depending on the relative importance of river-ocean mixing and internal sinks (diatom uptake). Particles have different spatial patterns because they accumulate in estuarine turbidity maxima formed by the combination of sinking and estuarine circulation. Some constituents have weak or no mean spatial structure along the salinity gradient, reflecting spatially distributed sources along the estuary (nitrate) or atmospheric exchanges that buffer spatial variability of ecosystem metabolism (dissolved oxygen). The density difference between freshwater and seawater establishes stratification in estuaries stronger than the thermal stratification of lakes and oceans. Stratification is strongest around the center of the salinity gradient and when river discharge is high. Spatial distributions of motile organisms are shaped by species-specific adaptations to different salinity ranges (shrimp) and by behavioral responses to environmental variability (northern anchovy). Estuarine spatial patterns change over time scales of events (intrusions of upwelled ocean water), seasons (river inflow), years (annual weather anomalies), and between eras separated by ecosystem disturbances (a species introduction). Each of these lessons is a piece in the puzzle of how estuarine ecosystems are structured and how they differ from the river and ocean ecosystems they bridge.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lno.10537","usgsCitation":"Cloern, J.E., Jassby, A.D., Schraga, T., Kress, E.S., and Martin, C.A., 2017, Ecosystem variability along the estuarine salinity gradient: Examples from long-term study of San Francisco Bay: Limnology and Oceanography, v. 62, no. S1, p. S272-S291, https://doi.org/10.1002/lno.10537.","productDescription":"20 p.","startPage":"S272","endPage":"S291","ipdsId":"IP-081785","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461689,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10537","text":"Publisher Index Page"},{"id":438405,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TQ5ZPR","text":"USGS data release","linkHelpText":"USGS Measurements of Water Quality in San Francisco Bay (CA), 1969-2015 (ver. 4.0, March 2023)"},{"id":338536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.52365112304688,\n              37.40943717748788\n            ],\n            [\n              -121.64886474609375,\n              37.40943717748788\n            ],\n            [\n              -121.64886474609375,\n              38.190704293996504\n            ],\n            [\n              -122.52365112304688,\n              38.190704293996504\n            ],\n            [\n              -122.52365112304688,\n              37.40943717748788\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"S1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-25","publicationStatus":"PW","scienceBaseUri":"58dcc7d3e4b02ff32c685663","chorus":{"doi":"10.1002/lno.10537","url":"http://dx.doi.org/10.1002/lno.10537","publisher":"Wiley-Blackwell","authors":"Cloern James E., Jassby Alan D., Schraga Tara S., Nejad Erica, Martin Charles","journalName":"Limnology and Oceanography","publicationDate":"3/2017","publiclyAccessibleDate":"3/25/2017"},"contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":686613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schraga, Tara 0000-0002-2108-5846 tschraga@usgs.gov","orcid":"https://orcid.org/0000-0002-2108-5846","contributorId":1118,"corporation":false,"usgs":true,"family":"Schraga","given":"Tara","email":"tschraga@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kress, Erica S. 0000-0001-8204-6368 ekress@usgs.gov","orcid":"https://orcid.org/0000-0001-8204-6368","contributorId":4859,"corporation":false,"usgs":true,"family":"Kress","given":"Erica","email":"ekress@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Charles A. 0000-0003-3576-2585 camartin@usgs.gov","orcid":"https://orcid.org/0000-0003-3576-2585","contributorId":4860,"corporation":false,"usgs":true,"family":"Martin","given":"Charles","email":"camartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70181024,"text":"ofr20171016 - 2017 - Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City","interactions":[],"lastModifiedDate":"2017-03-29T15:19:26","indexId":"ofr20171016","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","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":"2017-1016","title":"Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City","docAbstract":"<p>The salt marshes of Jamaica Bay, managed by the New York City Department of Parks &amp; Recreation and the Gateway National Recreation Area of the National Park Service, serve as a recreational outlet for New York City residents, mitigate flooding, and provide habitat for critical wildlife species. Hurricanes and extra-tropical storms have been recognized as one of the critical drivers of coastal wetland morphology due to their effects on hydrodynamics and sediment transport, deposition, and erosion processes. However, the magnitude and mechanisms of hurricane effects on sediment dynamics and associated coastal wetland morphology in the northeastern United States are poorly understood. In this study, the depth-averaged version of the Delft3D modeling suite, integrated with field measurements, was utilized to examine the effects of Hurricane Sandy and future potential hurricanes on salt marsh morphology in Jamaica Bay, New York City. Hurricane Sandy-induced wind, waves, storm surge, water circulation, sediment transport, deposition, and erosion were simulated by using the modeling system in which vegetation effects on flow resistance, surge reduction, wave attenuation, and sedimentation were also incorporated. Observed marsh elevation change and accretion from a rod surface elevation table and feldspar marker horizons and cesium-137- and lead-210-derived long-term accretion rates were used to calibrate and validate the wind-waves-surge-sediment transport-morphology coupled model.</p><p>The model results (storm surge, waves, and marsh deposition and erosion) agreed well with field measurements. The validated modeling system was then used to detect salt marsh morphological change due to Hurricane Sandy across the entire Jamaica Bay over the short-term (for example, 4 days and 1 year) and long-term (for example, 5 and 10 years). Because Hurricanes Sandy (2012) and Irene (2011) were two large and destructive tropical cyclones which hit the northeast coast, the validated coupled model was run to predict the effects of Sandy-like and Irene-like hurricanes with different storm tracks and wind intensities on wetland morphology in Jamaica Bay. Model results indicate that, in Jamaica Bay salt marshes, the morphological changes (greater than 5 millimeters [mm] determined by the long-term marsh accretion rate) caused by Hurricane Sandy were complex and spatially heterogeneous. Most of the erosion (5–40 mm) and deposition (5–30 mm) were mainly characterized by fine sand for channels and bay bottoms and by mud for marsh areas. Hurricane Sandy-generated deposition and erosion were generated locally. The storm-induced net sediment input through Rockaway Inlet was only about 1 percent of the total amount of the sediment reworked by the hurricane. Salt marshes inside the western part of the bay showed erosion overall while marshes inside the eastern part showed deposition from Hurricane Sandy. Model results indicated that most of the marshes could recover from Hurricane Sandy-induced erosion after 1 year and demonstrated continued marsh accretion after the hurricane over the course of long simulation periods although the effect (accretion) was diminished. Local waves and currents generated by Hurricane Sandy appeared to play a critical role in sediment transport and associated wetland morphological change in Jamaica Bay. Hypothetical hurricanes, depending on their track and intensity, cause variable responses in spatial patterns of sediment deposition and erosion compared to simulations without the hurricane. In general, hurricanes passing west of the Jamaica Bay estuary appear to be more destructive to the salt marshes than those passing the east. Consequently, marshes inside the western part of the bay were likely to be more vulnerable to hurricanes than marshes inside the eastern part of the bay.</p><p>&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171016","usgsCitation":"Wang, H., Chen, Q., Hu, K., Snedden, G.A., Hartig, E.K., Couvillion, B.R., Johnson, C.L., and Orton, P.M., 2017, Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City: U.S. Geological Survey Open-File Report 2017–1016, 43 p., https://doi.org/10.3133/ofr20171016.","productDescription":"vii, 43 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-079827","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":338515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1016/coverthb.jpg"},{"id":338516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1016/ofr20171016.pdf","text":"Report","size":"30.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1016"}],"country":"United States","state":"New York","city":"New York City","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.95687103271484,\n              40.539112438263516\n            ],\n            [\n              -73.72684478759766,\n              40.539112438263516\n            ],\n            [\n              -73.72684478759766,\n              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PSC"},"publishedDate":"2017-03-29","noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"58dcc7d5e4b02ff32c68566f","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":663344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":663345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hu, Kelin","contributorId":177218,"corporation":false,"usgs":false,"family":"Hu","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":663346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snedden, Gregg A. 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":3894,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":663347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartig, Ellen K.","contributorId":179351,"corporation":false,"usgs":false,"family":"Hartig","given":"Ellen K.","affiliations":[],"preferred":false,"id":663348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":663350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Cody L.","contributorId":179353,"corporation":false,"usgs":false,"family":"Johnson","given":"Cody","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":663351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Orton, Philip M.","contributorId":179354,"corporation":false,"usgs":false,"family":"Orton","given":"Philip","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663352,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70185740,"text":"70185740 - 2017 - Weather radar data correlate to hail-induced mortality in grassland birds","interactions":[],"lastModifiedDate":"2017-07-03T09:44:29","indexId":"70185740","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Weather radar data correlate to hail-induced mortality in grassland birds","docAbstract":"<p><span>Small-bodied terrestrial animals such as songbirds (Order Passeriformes) are especially vulnerable to hail-induced mortality; yet, hail events are challenging to predict, and they often occur in locations where populations are not being studied. Focusing on nesting grassland songbirds, we demonstrate a novel approach to estimate hail-induced mortality. We quantify the relationship between the probability of nests destroyed by hail and measured Level-III Next Generation Radar (NEXRAD) data, including atmospheric base reflectivity, maximum estimated size of hail and maximum estimated azimuthal wind shear. On 22 June 2014, a hailstorm in northern Colorado destroyed 102 out of 203 known nests within our research site. Lark bunting (</span><i>Calamospiza melanocorys</i><span>) nests comprised most of the sample (</span><i>n&nbsp;</i><span>=</span><i>&nbsp;</i><span>186). Destroyed nests were more likely to be found in areas of higher storm intensity, and distributions of NEXRAD variables differed between failed and surviving nests. For 133 ground nests where nest-site vegetation was measured, we examined the ameliorative influence of woody vegetation, nest cover and vegetation density by comparing results for 13 different logistic regression models incorporating the independent and additive effects of weather and vegetation variables. The most parsimonious model used only the interactive effect of hail size and wind shear to predict the probability of nest survival, and the data provided no support for any of the models without this predictor. We conclude that vegetation structure may not mitigate mortality from severe hailstorms and that weather radar products can be used remotely to estimate potential for hail mortality of nesting grassland birds. These insights will improve the efficacy of grassland bird population models under predicted climate change scenarios.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rse2.41","usgsCitation":"Carver, A., Ross, J.D., Augustine, D., Skagen, S.K., Dwyer, A.M., Tomback, D.F., and Wunder, M., 2017, Weather radar data correlate to hail-induced mortality in grassland birds: Remote Sensing in Ecology and Conservation, v. 3, no. 2, p. 90-101, https://doi.org/10.1002/rse2.41.","productDescription":"12 p.","startPage":"90","endPage":"101","ipdsId":"IP-073446","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.41","text":"Publisher Index Page"},{"id":338545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-24","publicationStatus":"PW","scienceBaseUri":"58dcc7d3e4b02ff32c685665","contributors":{"authors":[{"text":"Carver, Amber","contributorId":189956,"corporation":false,"usgs":false,"family":"Carver","given":"Amber","email":"","affiliations":[],"preferred":false,"id":686605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Jeremy D.","contributorId":189958,"corporation":false,"usgs":false,"family":"Ross","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":686608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, David J.","contributorId":36849,"corporation":false,"usgs":true,"family":"Augustine","given":"David J.","affiliations":[],"preferred":false,"id":686606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":2009,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan","email":"skagens@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":686604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dwyer, Angela M.","contributorId":189959,"corporation":false,"usgs":false,"family":"Dwyer","given":"Angela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":686609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tomback, Diana F.","contributorId":189960,"corporation":false,"usgs":false,"family":"Tomback","given":"Diana","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":686610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wunder, Michael B.","contributorId":80599,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael B.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":686607,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70185756,"text":"70185756 - 2017 - Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD)","interactions":[],"lastModifiedDate":"2022-04-22T16:13:23.878901","indexId":"70185756","displayToPublicDate":"2017-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD)","docAbstract":"<p><span>Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. 2001, ca. 2006, and ca. 2011. The two main objectives were assessment of agreement between map and reference labels for the three, single-date NLCD land cover products at Level II and Level I of the classification hierarchy, and agreement for 17 land cover change reporting themes based on Level I classes (e.g., forest loss; forest gain; forest, no change) for three change periods (2001–2006, 2006–2011, and 2001–2011). The single-date overall accuracies were 82%, 83%, and 83% at Level II and 88%, 89%, and 89% at Level I for 2011, 2006, and 2001, respectively. Many class-specific user's accuracies met or exceeded a previously established nominal accuracy benchmark of 85%. Overall accuracies for 2006 and 2001 land cover components of NLCD 2011 were approximately 4% higher (at Level II and Level I) than the overall accuracies for the same components of NLCD 2006. The high Level I overall, user's, and producer's accuracies for the single-date eras in NLCD 2011 did not translate into high class-specific user's and producer's accuracies for many of the 17 change reporting themes. User's accuracies were high for the no change reporting themes, commonly exceeding 85%, but were typically much lower for the reporting themes that represented change. Only forest loss, forest gain, and urban gain had user's accuracies that exceeded 70%. Lower user's accuracies for the other change reporting themes may be attributable to the difficulty in determining the context of grass (e.g., open urban, grassland, agriculture) and between the components of the forest-shrubland-grassland gradient at either the mapping phase, reference label assignment phase, or both. NLCD 2011 user's accuracies for forest loss, forest gain, and urban gain compare favorably with results from other land cover change accuracy assessments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.12.026","usgsCitation":"Wickham, J., Stehman, S.V., Gass, L., Dewitz, J., Sorenson, D.G., Granneman, B.J., Poss, R.V., and Baer, L.A., 2017, Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD): Remote Sensing of Environment, v. 191, p. 328-341, https://doi.org/10.1016/j.rse.2016.12.026.","productDescription":"14 p.","startPage":"328","endPage":"341","ipdsId":"IP-079186","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6657805","text":"Publisher Index Page"},{"id":338528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"191","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d2e4b02ff32c68565f","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":686666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":686667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":686665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewitz, Jon 0000-0002-0458-212X dewitz@usgs.gov","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":2401,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","email":"dewitz@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":686668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorenson, Daniel G. 0000-0003-0365-9444 dsorenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0365-9444","contributorId":2898,"corporation":false,"usgs":true,"family":"Sorenson","given":"Daniel","email":"dsorenson@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":686669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granneman, Brian J. 0000-0002-1910-0955 grann@usgs.gov","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":4209,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","email":"grann@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":686670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poss, Richard V.","contributorId":189982,"corporation":false,"usgs":false,"family":"Poss","given":"Richard","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":686671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baer, Lori Anne 0000-0003-1908-979X labaer@usgs.gov","orcid":"https://orcid.org/0000-0003-1908-979X","contributorId":4429,"corporation":false,"usgs":true,"family":"Baer","given":"Lori","email":"labaer@usgs.gov","middleInitial":"Anne","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":686672,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70185606,"text":"sir20175011 - 2017 - Hydrology and numerical simulation of groundwater flow and streamflow depletion by well withdrawals in the Malad-Lower Bear River Area, Box Elder County, Utah","interactions":[],"lastModifiedDate":"2017-03-29T09:35:32","indexId":"sir20175011","displayToPublicDate":"2017-03-28T00:00:00","publicationYear":"2017","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":"2017-5011","title":"Hydrology and numerical simulation of groundwater flow and streamflow depletion by well withdrawals in the Malad-Lower Bear River Area, Box Elder County, Utah","docAbstract":"<div>The Malad-Lower Bear River study area in Box Elder County, Utah, consists of a valley bounded by mountain ranges and is mostly agricultural or undeveloped. The Bear and Malad Rivers enter the study area with a combined average flow of about 1,100,000 acre-feet per year (acre-ft/yr), and this surface water dominates the hydrology. Groundwater occurs in consolidated rock and basin fill. Groundwater recharge occurs from precipitation in the mountains and moves through consolidated rock to the basin fill. Recharge occurs in the valley from irrigation. Groundwater discharge occurs to rivers, springs and diffuse seepage areas, evapotranspiration, field drains, and wells. Groundwater, including springs, is a source for municipal and domestic water supply. Although withdrawal from wells is a small component of the groundwater budget, there is concern that additional groundwater development will reduce the amount of flow in the Malad River. Historical records of surface-water diversions, land use, and groundwater levels indicate relatively stable hydrologic conditions from the 1960s to the 2010s, and that current groundwater development has had little effect on the groundwater system. Average annual recharge to and discharge from the groundwater flow system are estimated to be 164,000 and 228,000 acre-ft/yr, respectively. The imbalance between recharge and discharge represents uncertainties resulting from system complexities, and the possibility of groundwater inflow from surrounding basins.<br><br></div><div>This study reassesses the hydrologic system, refines the groundwater budget, and creates a numerical groundwater flow model that is used to analyze the effects of groundwater withdrawals on surface water. The model uses the detailed catalog of locations and amounts of groundwater recharge and discharge defined during this study. Calibrating the model to adequately simulate recharge, discharge, and groundwater levels results in simulated aquifer properties that can be used to understand the relation between pumping and the reduction in discharge to rivers, springs, natural vegetation, and field drains. Simulations run by the calibrated model were used to calculate the reduction of groundwater discharge to the Malad River (stream depletion) in response to a well withdrawal of 360 acre-ft/yr at any location within the study area. Modeling results show that streamflow depletion in the Malad River depends on both depth and location of groundwater withdrawal, and varies from less than 1 percent to 96 percent of the well withdrawal. The relation between simulated withdrawal and reductions in Malad River streamflow, Bear River streamflow, and spring discharge are shown on capture maps.<br><br><br></div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175011","issn":"2328-0328","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Water Rights <br><br><br>The numerical groundwater flow model in this report (GBCAAS v. 2.0) supersedes the numerical groundwater flow model documented in Brooks and others, 2014, Steady-state numerical groundwater flow model of the Great Basin carbonate and alluvial aquifer system: U.S. Geological Survey Scientific Investigations Report 2014–5213, 124 p. (Available at <a href=\"https://pubs.usgs.gov/sir/2014/5213/\">https://pubs.usgs.gov/sir/2014/5213/</a>.)<br><br>","usgsCitation":"Stolp, B.J., Brooks, L.E., and Solder, J.E., 2017, Hydrology and numerical simulation of groundwater flow and streamflow depletion by well withdrawals in the Malad-Lower Bear River Area, Box Elder County, Utah: U.S. Geological Survey Scientific Investigations Report 2017–5011, 113 p., 6 appendixes, https://doi.org/10.3133/sir20175011.","productDescription":"Report: xii, 113 p.; 6 Appendixes","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":338290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5011/coverthb.jpg"},{"id":338300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5011/sir20175011.pdf","text":"Report","size":"14.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":338302,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5011/AppendixTables.zip","text":"Appendix Tables","size":"325 KB","linkFileType":{"id":6,"text":"zip"},"description":"ZIP containing Excel table files from Appendixes","linkHelpText":"<br>Please contact Lynette E. Brooks at <a href=\"mailto:lebrooks@usgs.gov?Subject=SIR2017-5011%20Dataset%20Request\" target=\"_top\">lebrooks@usgs.gov</a> for dataset.<br>"}],"country":"United States","state":"Utah","county":"Box Elder County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.42584228515625,\n              41.45507852101139\n            ],\n            [\n              -111.92047119140624,\n              41.45507852101139\n            ],\n            [\n              -111.92047119140624,\n              42.0064481470799\n            ],\n            [\n              -112.42584228515625,\n              42.0064481470799\n            ],\n            [\n              -112.42584228515625,\n              41.45507852101139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div>Director, Utah Water Science Center</div><div>U.S. Geological Survey</div><div>2329 West Orton Circle</div><div>Salt Lake City, UT 84119-2047</div><div>801 908-5000</div><div><a href=\"http://ut.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://ut.water.usgs.gov/\">http://ut.water.usgs.gov/</a></div>","tableOfContents":"<ul><li>Abstract&nbsp;<br></li><li>Introduction&nbsp;</li><li>Hydrologic Conditions&nbsp;</li><li>Conceptual Groundwater Model&nbsp;<br></li><li>Groundwater Budget&nbsp;</li><li>Previous Groundwater Budget&nbsp;<br></li><li>Numerical Groundwater Flow Model&nbsp;</li><li>Summary&nbsp;<br></li><li>References<br></li><li>Appendix 1–6</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-03-28","noUsgsAuthors":false,"publicationDate":"2017-03-28","publicationStatus":"PW","scienceBaseUri":"58db7630e4b0ee37af29e49c","contributors":{"authors":[{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":686098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":686099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solder, John E. 0000-0002-0660-3326 jsolder@usgs.gov","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":171916,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"jsolder@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":686100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185739,"text":"70185739 - 2017 - Optimization of on-line hydrogen stable isotope ratio measurements of halogen- and sulfur-bearing organic compounds using elemental analyzer–chromium/high-temperature conversion isotope ratio mass spectrometry (EA-Cr/HTC-IRMS)","interactions":[],"lastModifiedDate":"2017-03-28T14:50:19","indexId":"70185739","displayToPublicDate":"2017-03-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of on-line hydrogen stable isotope ratio measurements of halogen- and sulfur-bearing organic compounds using elemental analyzer–chromium/high-temperature conversion isotope ratio mass spectrometry (EA-Cr/HTC-IRMS)","docAbstract":"Rationale: Accurate hydrogen isotopic analysis of halogen- and sulfur-bearing organics has not been possible with traditional high-temperature conversion (HTC) because the formation of hydrogen-bearing reaction products other than molecular hydrogen (H2) is responsible for non-quantitative H2 yields and possible hydrogen isotopic fractionation. Our previously introduced, new chromium-based EA-Cr/HTC-IRMS (Elemental Analyzer–Chromium/High-Temperature Conversion Isotope Ratio Mass Spectrometry) technique focused primarily on nitrogen-bearing compounds. Several technical and analytical issues concerning halogen- and sulfur-bearing samples, however, remained unresolved and required further refinement of the reactor systems.\nMethods: The EA-Cr/HTC reactor was substantially modified for the conversion of halogen- and sulfur-bearing samples. The performance of the novel conversion setup for solid and liquid samples was monitored and optimized using a simultaneously operating dual-detection system of IRMS and ion trap MS. The method with several variants in the reactor, including the addition of manganese metal chips, was evaluated in three laboratories using EA-Cr/HTC-IRMS (on-line method) and compared with traditional uranium-reduction-based conversion combined with manual dual-inlet IRMS analysis (off-line method) in one laboratory.\nResults: The modified EA-Cr/HTC reactor setup showed an overall H2-recovery of more than 96% for all halogen- and sulfur-bearing organic compounds. All results were successfully normalized via two-point calibration with VSMOW-SLAP reference waters. Precise and accurate hydrogen isotopic analysis was achieved for a variety of organics containing F-, Cl-, Br-, I-, and S-bearing heteroelements. The robust nature of the on-line EA-Cr/HTC technique was demonstrated by a series of 196 consecutive measurements with a single reactor filling.\nConclusions: The optimized EA-Cr/HTC reactor design can be implemented in existing analytical equipment using commercially available material and is universally applicable for both heteroelement-bearing and heteroelement-free organic-compound classes. The sensitivity and simplicity of the on-line EA-Cr/HTC-IRMS technique provide a much needed tool for routine hydrogen-isotope source tracing of organic contaminants in the environment. Copyright © 2016 John Wiley & Sons, Ltd.","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7810","usgsCitation":"Gehre, M., Renpenning, J., Geilmann, H., Qi, H., Coplen, T.B., Kummel, S., Ivdra, N., Brand, W.A., and Schimmelmann, A., 2017, Optimization of on-line hydrogen stable isotope ratio measurements of halogen- and sulfur-bearing organic compounds using elemental analyzer–chromium/high-temperature conversion isotope ratio mass spectrometry (EA-Cr/HTC-IRMS): Rapid Communications in Mass Spectrometry, v. 31, no. 6, p. 475-484, https://doi.org/10.1002/rcm.7810.","productDescription":"10 p.","startPage":"475","endPage":"484","ipdsId":"IP-081933","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438407,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HD7STB","text":"USGS data release","linkHelpText":"Tables supporting improved EA-Cr_HTC hydrogen-isotope technique for halogen- and S-bearing organic compounds"},{"id":338485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338481,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/rcm.7810"}],"volume":"31","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-09","publicationStatus":"PW","scienceBaseUri":"58db762fe4b0ee37af29e49a","contributors":{"authors":[{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":686596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renpenning, Julian","contributorId":189953,"corporation":false,"usgs":false,"family":"Renpenning","given":"Julian","email":"","affiliations":[],"preferred":false,"id":686597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geilmann, Heike","contributorId":41303,"corporation":false,"usgs":false,"family":"Geilmann","given":"Heike","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":686598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":686595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kummel, Steffen","contributorId":189954,"corporation":false,"usgs":false,"family":"Kummel","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":686600,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ivdra, Natalija","contributorId":189955,"corporation":false,"usgs":false,"family":"Ivdra","given":"Natalija","email":"","affiliations":[],"preferred":false,"id":686601,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brand, Willi A.","contributorId":33091,"corporation":false,"usgs":false,"family":"Brand","given":"Willi","email":"","middleInitial":"A.","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":686602,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schimmelmann, Arndt","contributorId":140051,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"Arndt","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":686603,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70180979,"text":"ofr20171017 - 2017 - Geophysical logging and thermal imaging near the Hemphill Road TCE National Priorities List Superfund site near Gastonia, North Carolina","interactions":[],"lastModifiedDate":"2017-03-31T11:03:39","indexId":"ofr20171017","displayToPublicDate":"2017-03-27T16:30:00","publicationYear":"2017","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":"2017-1017","title":"Geophysical logging and thermal imaging near the Hemphill Road TCE National Priorities List Superfund site near Gastonia, North Carolina","docAbstract":"<p>Borehole geophysical logs and thermal imaging data were collected by the U.S. Geological Survey near the Hemphill Road TCE (trichloroethylene) National Priorities List Superfund site near Gastonia, North Carolina, during August 2014 through February 2015. In an effort to assist the U.S. Environmental Protection Agency in the development of a conceptual groundwater model for the assessment of current contaminant distribution and future migration of contaminants, surface geological mapping and borehole geophysical log and thermal imaging data collection, which included the delineation of more than 600 subsurface features (primarily fracture orientations), was completed in five open borehole wells and two private supply bedrock wells. In addition, areas of possible groundwater discharge within a nearby creek downgradient of the study site were determined based on temperature differences between the stream and bank seepage using thermal imagery.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171017","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency Region 4 Superfund Section","usgsCitation":"Antolino, D.J., and Chapman, M.J., 2017, Geophysical logging and thermal imaging near the Hemphill Road TCE National Priorities List Superfund site near Gastonia, North Carolina (ver. 1.1, March 2017): U.S. Geological Survey Open-File Report 2017–1017, 47 p., https://doi.org/10.3133/ofr20171017.","productDescription":"Report: v, 47 p.; Data Release","numberOfPages":"57","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079978","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":337458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1017/coverthb2.jpg"},{"id":337459,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1017/ofr20171017.pdf","text":"Report","size":"19.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1017"},{"id":337460,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71R6NPM","text":"USGS data release ","description":"USGS data release","linkHelpText":"Geophysical logging and thermal imaging at the Hemphill Road TCE NPL Superfund site near Gastonia, North Carolina"},{"id":338827,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2017/1017/versionHist.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"North Carolina","county":"Gaston County","city":"Gastonia","otherGeospatial":"Hemphill Road trichloroethylene National Priorities List Superfund site","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-81.4535,35.4201],[-81.2581,35.4132],[-81.0069,35.4038],[-80.9549,35.4006],[-80.9554,35.3925],[-80.9632,35.3901],[-80.9761,35.3828],[-80.9806,35.3823],[-80.9846,35.3822],[-80.9868,35.38],[-80.9844,35.3695],[-80.9776,35.3646],[-80.9742,35.3642],[-80.9697,35.3669],[-80.9669,35.3688],[-80.9647,35.3738],[-80.9625,35.3756],[-80.9597,35.3756],[-80.9563,35.3738],[-80.9505,35.3675],[-80.9432,35.3658],[-80.9296,35.3636],[-80.9268,35.3627],[-80.9285,35.3614],[-80.9374,35.3572],[-80.9442,35.3521],[-80.9537,35.3521],[-80.9593,35.3489],[-80.9656,35.3506],[-80.9706,35.3501],[-80.9818,35.3446],[-80.984,35.3373],[-80.9823,35.3341],[-80.9805,35.3287],[-80.9844,35.3237],[-80.9894,35.3205],[-80.9938,35.3132],[-80.9961,35.3113],[-81.0022,35.3045],[-81.0033,35.3017],[-81.0105,35.2944],[-81.0133,35.293],[-81.0143,35.2876],[-81.0152,35.2685],[-81.0139,35.2585],[-81.0082,35.2509],[-81.012,35.2349],[-81.0113,35.2309],[-81.0129,35.2231],[-81.0071,35.2109],[-81.0054,35.2055],[-81.0064,35.1973],[-81.0063,35.1923],[-81.0046,35.1864],[-81.0045,35.1814],[-81.0049,35.1728],[-81.0088,35.165],[-81.0076,35.1569],[-81.0109,35.1532],[-81.0176,35.1536],[-81.0238,35.1486],[-81.0448,35.1494],[-81.0682,35.1507],[-81.1814,35.1568],[-81.2141,35.1586],[-81.3277,35.1637],[-81.3163,35.1906],[-81.3209,35.2609],[-81.355,35.2796],[-81.3548,35.2946],[-81.3594,35.3022],[-81.3675,35.314],[-81.3659,35.3181],[-81.3565,35.3309],[-81.3986,35.3531],[-81.4535,35.4201]]]},\"properties\":{\"name\":\"Gaston\",\"state\":\"NC\"}}]}","edition":"Version 1.0: Originally posted March 27, 2017; Version 1.1: March 30, 2017","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director,</a> South Atlantic Water Science Center <br> U.S. Geological Survey <br> 720 Gracern Road<br> Stephenson Center, Suite 129 <br> Columbia, SC 29210<br> <a href=\"https://www2.usgs.gov/water/southatlantic/\" data-mce-href=\"https://www2.usgs.gov/water/southatlantic/\">https://www2.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Methods of Data Collection</li><li>Surface Measurements</li><li>Borehole Geophysical Logging and Imaging Data&nbsp;</li><li>Inherent Sampling Biases in Measurements</li><li>Thermal Imaging Data</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Borehole Geophysical Image Logs Showing Orientations of Subsurface Structural Features&nbsp;</li><li>Appendix 2. Borehole Geophysical Logs Showing Depth of Fracture Zones and Measured Borehole Flow&nbsp;</li><li>Appendix 3. Infrared Images Captured by Forward-Looking Infrared Camera at Sites to Measure Stream Surface and Bank Seepage Temperature Differences</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-03-27","revisedDate":"2017-03-30","noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"58da2515e4b0543bf7fda7e4","contributors":{"authors":[{"text":"Antolino, Dominick J. 0000-0001-7838-5279 dantolin@usgs.gov","orcid":"https://orcid.org/0000-0001-7838-5279","contributorId":179174,"corporation":false,"usgs":true,"family":"Antolino","given":"Dominick","email":"dantolin@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":663035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":663036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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