{"pageNumber":"1470","pageRowStart":"36725","pageSize":"25","recordCount":165309,"records":[{"id":70045721,"text":"70045721 - 2013 - A spatial mark–resight model augmented with telemetry data","interactions":[],"lastModifiedDate":"2013-05-02T07:22:24","indexId":"70045721","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A spatial mark–resight model augmented with telemetry data","docAbstract":"Abundance and population density are fundamental pieces of information for population ecology and species conservation, but they are difficult to estimate for rare and elusive species. Mark-resight models are popular for estimating population abundance because they are less invasive and expensive than traditional mark-recapture. However, density estimation using mark-resight is difficult because the area sampled must be explicitly defined, historically using ad-hoc approaches. We develop a spatial mark-resight model for estimating population density that combines spatial resighting data and telemetry data. Incorporating telemetry data allows us to inform model parameters related to movement and individual location. Our model also allows <100% individual identification of marked individuals. We implemented the model in a Bayesian framework, using a custom-made Metropolis-within-Gibbs Markov chain Monte Carlo algorithm. As an example, we applied this model to a mark-resight study of raccoons on South Core Banks, a barrier island in Cape Lookout National Seashore, North Carolina. We estimated a population of 186.71 ± 14.81 individuals, which translated to a density of 8.29 ± 0.66 individuals per km<sup>2</sup>. The model presented here will have widespread utility in future applications, especially for species that are not naturally marked.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-1256.1","usgsCitation":"Sollmann, R., Gardner, B., Parsons, A.W., Stocking, J.J., McClintock, B.T., Simons, T.R., Pollock, K.H., and O’Connell, A.F., 2013, A spatial mark–resight model augmented with telemetry data: Ecology, v. 94, no. 3, p. 553-559, https://doi.org/10.1890/12-1256.1.","productDescription":"7 p.","startPage":"553","endPage":"559","numberOfPages":"7","ipdsId":"IP-042504","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-1256.1","text":"Publisher Index Page"},{"id":271725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271724,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1256.1"}],"country":"United States","volume":"94","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae3e4b0a21483941a78","contributors":{"authors":[{"text":"Sollmann, Rachel","contributorId":11909,"corporation":false,"usgs":true,"family":"Sollmann","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":478198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":478203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":478201,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":478196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":478197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Connell, Allan F.","contributorId":13510,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":478199,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043000,"text":"70043000 - 2013 - The density dilemma: limitations on juvenile production in threatened salmon populations","interactions":[],"lastModifiedDate":"2013-04-07T08:06:51","indexId":"70043000","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"The density dilemma: limitations on juvenile production in threatened salmon populations","docAbstract":"Density-dependent processes have repeatedly been shown to have a central role in salmonid population dynamics, but are often assumed to be negligible for populations at low abundances relative to historical records. Density dependence has been observed in overall spring/summer Snake River Chinook salmon Oncorhynchus tshawytscha production, but it is not clear how patterns observed at the aggregate level relate to individual populations within the basin. We used a Bayesian hierarchical modelling approach to explore the degree of density dependence in juvenile production for nine Idaho populations. Our results indicate that density dependence is ubiquitous, although its strength varies between populations. We also investigated the processes driving the population-level pattern and found density-dependent growth and mortality present for both common life-history strategies, but no evidence of density-dependent movement. Overwinter mortality, spatial clustering of redds and limited resource availability were identified as potentially important limiting factors contributing to density dependence. The ubiquity of density dependence for these threatened populations is alarming as stability at present low abundance levels suggests recovery may be difficult without major changes. We conclude that density dependence at the population level is common and must be considered in demographic analysis and management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology of Freshwater Fish","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/eff.12046","usgsCitation":"Walters, A.W., Copeland, T., and Venditti, D.A., 2013, The density dilemma: limitations on juvenile production in threatened salmon populations: Ecology of Freshwater Fish, Early View, https://doi.org/10.1111/eff.12046.","productDescription":"Early View","ipdsId":"IP-041461","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":270621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270620,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/eff.12046"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2013-03-31","publicationStatus":"PW","scienceBaseUri":"51629570e4b0c25842758d0f","contributors":{"authors":[{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":472769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Copeland, Timothy","contributorId":27760,"corporation":false,"usgs":true,"family":"Copeland","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":472770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Venditti, David A.","contributorId":38036,"corporation":false,"usgs":true,"family":"Venditti","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178479,"text":"70178479 - 2013 - Suspended-sediment flux and retention in a backwater tidal slough complex near the landward boundary of an estuary","interactions":[],"lastModifiedDate":"2017-10-30T11:43:08","indexId":"70178479","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Suspended-sediment flux and retention in a backwater tidal slough complex near the landward boundary of an estuary","docAbstract":"<p><span>Backwater tidal sloughs are commonly found at the landward boundary of estuaries. The Cache Slough complex is a backwater tidal region within the Upper Sacramento–San Joaquin Delta that includes two features that are relevant for resource managers: (1) relatively high abundance of the endangered fish, delta smelt (</span><i class=\"EmphasisTypeItalic \">Hypomesus transpacificus</i><span>), which prefers turbid water and (2) a recently flooded shallow island, Liberty Island, that is a prototype for habitat restoration. We characterized the turbidity around Liberty Island by measuring suspended-sediment flux at four locations from July 2008 through December 2010. An estuarine turbidity maximum in the backwater Cache Slough complex is created by tidal asymmetry, a limited tidal excursion, and wind-wave resuspension. During the study, there was a net export of sediment, though sediment accumulates within the region from landward tidal transport during the dry season. Sediment is continually resuspended by both wind waves and flood tide currents. The suspended-sediment mass oscillates within the region until winter freshwater flow pulses flush it seaward. The hydrodynamic characteristics within the backwater region such as low freshwater flow during the dry season, flood tide dominance, and a limited tidal excursion favor sediment retention.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-012-9574-z","usgsCitation":"Morgan-King, T.L., and Schoellhamer, D., 2013, Suspended-sediment flux and retention in a backwater tidal slough complex near the landward boundary of an estuary: Estuaries and Coasts, v. 36, no. 2, p. 300-318, https://doi.org/10.1007/s12237-012-9574-z.","productDescription":"19 p.","startPage":"300","endPage":"318","ipdsId":"IP-006334","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":331156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, 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              -122.53326416015624,\n              37.400710068740565\n            ],\n            [\n              -122.53326416015624,\n              38.528830289587674\n            ],\n            [\n              -121.06658935546874,\n              38.528830289587674\n            ],\n            [\n              -121.06658935546874,\n              37.400710068740565\n            ],\n            [\n              -122.53326416015624,\n              37.400710068740565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-30","publicationStatus":"PW","scienceBaseUri":"583415b4e4b0070c0abed82c","contributors":{"authors":[{"text":"Morgan-King, Tara L. 0000-0001-5632-5232 tamorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":554,"corporation":false,"usgs":true,"family":"Morgan-King","given":"Tara","email":"tamorgan@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654134,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157244,"text":"70157244 - 2013 - Tamarisk: Ecohydrology of a successful plant","interactions":[],"lastModifiedDate":"2025-12-31T16:48:33.87161","indexId":"70157244","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tamarisk: Ecohydrology of a successful plant","docAbstract":"<p><span>This chapter explores the ecohydrology of tamarisk, with particular emphasis on water use, salt tolerance, potential for salinizing flood plains, drought tolerance and rooting depths, and ecological interactions with native plants on western rivers. It presents the working hypothesis that tamarisk is adapted to water stress, with low to moderate water use that tends to replace mesic vegetation when conditions on flow-regulated rivers become unsuitable for those species, rather than as an invasive species that displaces and out-competes native species under all conditions. It includes data on the annualized rates of evapotranspiration, transpiration, and stomatal conductance by tamarisk stands on western US rivers. It also cites the lack of evidence that simply removing tamarisk from a riverbank will improve salinity or allow native mesic vegetation to return.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tamarix: A case study of ecological change in the American West","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","publisherLocation":"New York, NY","doi":"10.1093/acprof:osobl/9780199898206.003.0005","usgsCitation":"Nagler, P.L., and Quigley, M.F., 2013, Tamarisk: Ecohydrology of a successful plant, chap. <i>of</i> Tamarix: A case study of ecological change in the American West, p. 63-84, https://doi.org/10.1093/acprof:osobl/9780199898206.003.0005.","productDescription":"22 p.","startPage":"63","endPage":"84","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026847","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":308133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f94142e4b05d6c4e5013ad","contributors":{"editors":[{"text":"Sher, Anna","contributorId":112677,"corporation":false,"usgs":true,"family":"Sher","given":"Anna","affiliations":[],"preferred":false,"id":953196,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Quigley, Martin F.","contributorId":112538,"corporation":false,"usgs":true,"family":"Quigley","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":953197,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quigley, Martin F.","contributorId":112538,"corporation":false,"usgs":true,"family":"Quigley","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":572390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191526,"text":"70191526 - 2013 - Implications of the Mw9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters","interactions":[],"lastModifiedDate":"2017-10-17T11:44:12","indexId":"70191526","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Implications of the M<sub>w</sub>9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters","title":"Implications of the Mw9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters","docAbstract":"<p><span>The M</span><sub>w</sub><span>9.0 Tohoku-oki Japan earthquake produced approximately 2,000 ground motion recordings. We consider 1,238 three-component accelerograms corrected with component-specific low-cut filters. The recordings have rupture distances between 44 km and 1,000 km, time-averaged shear wave velocities of<span>&nbsp;</span></span><i>V<sub>S</sub></i><sub>30</sub><span><span>&nbsp;</span>= 90 m/s to 1,900 m/s, and usable response spectral periods of 0.01 sec to &gt;10 sec. The data support the notion that the increase of ground motions with magnitude saturates at large magnitudes. High-frequency ground motions demonstrate faster attenuation with distance in backarc than in forearc regions, which is only captured by one of the four considered ground motion prediction equations for subduction earthquakes. Recordings within 100 km of the fault are used to estimate event terms, which are generally positive (indicating model underprediction) at short periods and zero or negative (overprediction) at long periods. We find site amplification to scale minimally with<span>&nbsp;</span></span><i>V<sub>S</sub></i><sub>30</sub><span><span>&nbsp;</span>at high frequencies, in contrast with other active tectonic regions, but to scale strongly with<span>&nbsp;</span></span><i>V<sub>S</sub></i><sub>30</sub><span><span>&nbsp;</span>at low frequencies.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/1.4000115","usgsCitation":"Stewart, J.P., Midorikawa, S., Graves, R.W., Khodaverdi, K., Kishida, T., Miura, H., Bozorgnia, Y., and Campbell, K.W., 2013, Implications of the Mw9.0 Tohoku-Oki earthquake for ground motion scaling with source, path, and site parameters: Earthquake Spectra, v. 29, no. S1, p. S1-S21, https://doi.org/10.1193/1.4000115.","productDescription":"21 p.","startPage":"S1","endPage":"S21","ipdsId":"IP-042067","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"S1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-01","publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331f2","contributors":{"authors":[{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":712796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midorikawa, Saburoh","contributorId":197120,"corporation":false,"usgs":false,"family":"Midorikawa","given":"Saburoh","email":"","affiliations":[],"preferred":false,"id":712797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Robert W. rwgraves@usgs.gov","contributorId":3149,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","middleInitial":"W.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":712798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khodaverdi, Khatareh","contributorId":197119,"corporation":false,"usgs":false,"family":"Khodaverdi","given":"Khatareh","email":"","affiliations":[],"preferred":false,"id":712799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kishida, Tadahiro","contributorId":140538,"corporation":false,"usgs":false,"family":"Kishida","given":"Tadahiro","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":712800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miura, Hiroyuki","contributorId":197118,"corporation":false,"usgs":false,"family":"Miura","given":"Hiroyuki","email":"","affiliations":[],"preferred":false,"id":712801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bozorgnia, Yousef","contributorId":197121,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","email":"","affiliations":[],"preferred":false,"id":712802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Campbell, Kenneth W.","contributorId":74391,"corporation":false,"usgs":false,"family":"Campbell","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712803,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70154937,"text":"70154937 - 2013 - Short-term effects of small dam removal on freshwater mussel assemblage","interactions":[],"lastModifiedDate":"2020-12-29T14:54:44.96933","indexId":"70154937","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3701,"text":"WALKERANA","active":true,"publicationSubtype":{"id":10}},"title":"Short-term effects of small dam removal on freshwater mussel assemblage","docAbstract":"<p><span>Dam removal is increasingly used to restore lotic habitat and biota, but its effects on freshwater mussels (family Unionidae) are not well known. We conducted a four-year study to assess short-term effects on mussels after removal of a small hydropower dam on the Deep River (Cape Fear River drainage), North Carolina, USA, in 2006. We conducted annual pre- and post-removal monitoring of mussel density, richness, and survival (post removal only) with transect surveys and quadrat excavation, and assessed changes in substrate composition at two impact sites (tailrace and impoundment) and two reference sites. Before-after-control-impact (BACI) analyses of variance did not detect a significant change in mussel density (total or individually for the three most abundant species), species richness, Eastern Elliptio (</span><i>Elliptio complanata</i><span>) mean length, or substrate composition in the tailrace or drained impoundment following dam removal. Apparent annual survival estimates of Eastern Elliptio at the tailrace site did not differ among sampling periods and were similar to control sites. We observed minimal mussel mortality from stranding in the dewatered reservoir. These results demonstrate that adverse short-term impacts of dam removal on downstream mussel assemblages can be minimized with appropriate planning, timing, and removal techniques, but additional monitoring is warranted to determine long-term effects on mussels within the restored river reach.</span></p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v16i1.2013.41-52","usgsCitation":"Heise, R.J., Cope, W., Kwak, T.J., and Eads, C.B., 2013, Short-term effects of small dam removal on freshwater mussel assemblage: WALKERANA, v. 16, no. 1, p. 41-52, https://doi.org/10.31931/fmbc.v16i1.2013.41-52.","productDescription":"10 p.","startPage":"41","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-06-01","temporalEnd":"2008-06-30","ipdsId":"IP-038738","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v16i1.2013.41-52","text":"Publisher Index Page"},{"id":381722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Deep River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.2282485961914,\n              35.58250105910778\n            ],\n            [\n              -79.2282485961914,\n              35.65618041632016\n            ],\n            [\n              -79.06036376953125,\n              35.65618041632016\n            ],\n            [\n              -79.06036376953125,\n              35.58250105910778\n            ],\n            [\n              -79.2282485961914,\n              35.58250105910778\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d5a8b3e4b0518e3546a4e0","contributors":{"authors":[{"text":"Heise, Ryan J.","contributorId":145789,"corporation":false,"usgs":false,"family":"Heise","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":16149,"text":"North Carolina Wildlife Resources Commission, 1003 Consolidated Rd., Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":565306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":565307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eads, Chris B.","contributorId":145790,"corporation":false,"usgs":false,"family":"Eads","given":"Chris","email":"","middleInitial":"B.","affiliations":[{"id":35730,"text":"North Carolina State College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":565308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043412,"text":"70043412 - 2013 - Reproductive health of yellow perch Perca flavescens in selected tributaries of the Chesapeake Bay","interactions":[],"lastModifiedDate":"2013-06-06T15:51:52","indexId":"70043412","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive health of yellow perch Perca flavescens in selected tributaries of the Chesapeake Bay","docAbstract":"Reduced recruitment of yellow perch has been noted for a number of years in certain urbanized watersheds (South and Severn Rivers) of the Chesapeake Bay. Other rapidly developing watersheds such as Mattawoman Creek are more recently showing evidence of reduced recruitment of anadromous fishes. In this study, we used a battery of biomarkers to better document the reproductive health of adult yellow perch collected during spring spawning in 2007–2009. Perch were collected in the South and Severn Rivers, Mattawoman Creek and the less developed Choptank and Allen's Fresh watersheds for comparison. Gonadosomatic indices, plasma reproductive hormone concentrations, plasma vitellogenin concentrations and gonad histology were evaluated in mature perch of both sexes. In addition, sperm quantity (cell counts) and quality (total and progressive motility, spermatogenic stage and DNA integrity), were measured in male perch. Many of these biomarkers varied annually and spatially, with some interesting statistical results and trends. Male perch from the Choptank and Allen's Fresh had generally higher sperm counts. In 2008 counts were significantly lower in the perch from the Severn when compared to other sites. The major microscopic gonadal abnormality in males was the proliferation of putative Leydig cells, observed in testes from Severn and less commonly, Mattawoman Creek perch. Observations that could significantly impact egg viability were an apparent lack of final maturation, abnormal yolk and thin, irregular zona pellucida. These were observed primarily in ovaries from Severn, South and less commonly Mattawoman Creek perch. The potential association of these observations with urbanization, impervious surface and chemical contaminants is discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.12.088","usgsCitation":"Blazer, V., Pinkney, A.E., Jenkins, J.A., Iwanowicz, L., Minkkinen, S., Draugelis-Dale, R.O., and Uphoff, J.H., 2013, Reproductive health of yellow perch Perca flavescens in selected tributaries of the Chesapeake Bay: Science of the Total Environment, v. 447, p. 198-209, https://doi.org/10.1016/j.scitotenv.2012.12.088.","productDescription":"12 p.","startPage":"198","endPage":"209","ipdsId":"IP-042717","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":273414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273413,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.12.088"}],"country":"United States","state":"Maryl;Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.46,36.90 ], [ -76.46,37.96 ], [ -75.63,37.96 ], [ -75.63,36.90 ], [ -76.46,36.90 ] ] ] } } ] }","volume":"447","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1bbd5e4b022a6a540fa14","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":473550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":473548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":473549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minkkinen, Steven","contributorId":16734,"corporation":false,"usgs":true,"family":"Minkkinen","given":"Steven","email":"","affiliations":[],"preferred":false,"id":473551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Draugelis-Dale, Rassa O. 0000-0001-8532-3287 daler@usgs.gov","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":20422,"corporation":false,"usgs":true,"family":"Draugelis-Dale","given":"Rassa","email":"daler@usgs.gov","middleInitial":"O.","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":473552,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Uphoff, James H.","contributorId":74656,"corporation":false,"usgs":true,"family":"Uphoff","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473553,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148142,"text":"70148142 - 2013 - Factors influencing survival and mark retention in postmetamorphic boreal chorus frogs","interactions":[],"lastModifiedDate":"2015-05-27T13:58:03","indexId":"70148142","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing survival and mark retention in postmetamorphic boreal chorus frogs","docAbstract":"<p><span>The ability to track individual animals is crucial in many field studies and often requires applying marks to captured individuals. Toe clipping has historically been a standard marking method for wild amphibian populations, but more recent marking methods include visual implant elastomer and photo identification. Unfortunately, few studies have investigated the influence and effectiveness of marking methods for recently metamorphosed individuals and as a result little is known about this life-history phase for most amphibians. Our focus was to explore survival probabilities, mark retention, and mark migration in postmetamorphic Boreal Chorus Frogs (</span><i>Psuedacris maculata</i><span>) in a laboratory setting. One hundred forty-seven individuals were assigned randomly to two treatment groups or a control group. Frogs in the first treatment group were marked with visual implant elastomer, while frogs in the second treatment group were toe clipped. Growth and mortality were recorded for one year and resulting data were analyzed using known-fate models in Program MARK. Model selection results suggested that survival probabilities of frogs varied with time and showed some variation among marking treatments. We found that frogs with multiple toes clipped on the same foot had lower survival probabilities than individuals in other treatments, but individuals can be marked by clipping a single toe on two different feet without any mark loss or negative survival effects. Individuals treated with visual implant elastomer had a mark migration rate of 4% and mark loss rate of 6%, and also showed very little negative survival impacts relative to control individuals.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CH-12-129","usgsCitation":"Swanson, J.E., Bailey, L., Muths, E.L., and Funk, W.C., 2013, Factors influencing survival and mark retention in postmetamorphic boreal chorus frogs: Copeia, v. 2013, no. 4, p. 670-675, https://doi.org/10.1643/CH-12-129.","productDescription":"6 p.","startPage":"670","endPage":"675","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045724","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":300866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eac7e4b0d9246a9ec2e1","contributors":{"authors":[{"text":"Swanson, Jennifer E.","contributorId":140894,"corporation":false,"usgs":false,"family":"Swanson","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":547478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":547477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":547476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":547479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156157,"text":"70156157 - 2013 - Interactive effects of wildfire, forest management, and isolation on amphibian and parasite abundance","interactions":[],"lastModifiedDate":"2022-11-10T17:28:02.322013","indexId":"70156157","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of wildfire, forest management, and isolation on amphibian and parasite abundance","docAbstract":"<p><span>Projected increases in wildfire and other climate-driven disturbances will affect populations and communities worldwide, including host&ndash;parasite relationships. Research in temperate forests has shown that wildfire can negatively affect amphibians, but this research has occurred primarily outside of managed landscapes where interactions with human disturbances could result in additive or synergistic effects. Furthermore, parasites represent a large component of biodiversity and can affect host fitness and population dynamics, yet they are rarely included in studies of how vertebrate hosts respond to disturbance. To determine how wildfire affects amphibians and their parasites, and whether effects differ between protected and managed landscapes, we compared abundance of two amphibians and two nematodes relative to wildfire extent and severity around wetlands in neighboring protected and managed forests (Montana, USA). Population sizes of adult, male long-toed salamanders (</span><i>Ambystoma macrodactylum</i><span>) decreased with increased burn severity, with stronger negative effects on isolated populations and in managed forests. In contrast, breeding population sizes of Columbia spotted frogs (</span><i>Rana luteiventris</i><span>) increased with burn extent in both protected and managed protected forests. Path analysis showed that the effects of wildfire on the two species of nematodes were consistent with differences in their life history and transmission strategies and the responses of their hosts. Burn severity indirectly reduced abundance of soil-transmitted&nbsp;</span><i>Cosmocercoides variabilis</i><span>&nbsp;through reductions in salamander abundance. Burn severity also directly reduced&nbsp;</span><i>C. variabilis</i><span>&nbsp;abundance, possibly though changes in soil conditions. For the aquatically transmitted nematode&nbsp;</span><i>Gyrinicola batrachiensis</i><span>, the positive effect of burn extent on density of Columbia spotted frog larvae indirectly increased parasite abundance. Our results show that effects of wildfire on amphibians depend upon burn extent and severity, isolation, and prior land use. Through subsequent effects on the parasites, our results also reveal how changes in disturbance regimes can affect communities across trophic levels.</span><br /><span><br /><br /><br /></span></p>","language":"English","publisher":"Ecological Applications","doi":"10.1890/12-0316.1","usgsCitation":"Hossack, B.R., Lowe, W., Honeycutt, R.K., Parks, S.A., and Corn, P.S., 2013, Interactive effects of wildfire, forest management, and isolation on amphibian and parasite abundance: Ecological Applications, v. 23, no. 2, p. 479-492, https://doi.org/10.1890/12-0316.1.","productDescription":"13 p.","startPage":"479","endPage":"492","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034884","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park, North Fork Flathead River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.46031350545493,\n              48.965275235577195\n            ],\n            [\n              -114.46031350545493,\n              48.549652132944914\n            ],\n            [\n              -114.01654992640174,\n              48.549652132944914\n            ],\n            [\n              -114.01654992640174,\n              48.965275235577195\n            ],\n            [\n              -114.46031350545493,\n              48.965275235577195\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45731e4b0518e354694d0","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":567933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":567937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":567935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parks, Sean A. 0000-0002-2982-5255","orcid":"https://orcid.org/0000-0002-2982-5255","contributorId":225035,"corporation":false,"usgs":false,"family":"Parks","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":41024,"text":"Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":567936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corn, P. Stephen 0000-0002-4106-6335 steve_corn@usgs.gov","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":3227,"corporation":false,"usgs":true,"family":"Corn","given":"P.","email":"steve_corn@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":567934,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043581,"text":"70043581 - 2013 - Prolactin regulates transcription of the ion uptake Na+/Cl- cotransporter (ncc) gene in zebrafish gill","interactions":[],"lastModifiedDate":"2013-03-11T21:21:18","indexId":"70043581","displayToPublicDate":"2013-02-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2782,"text":"Molecular and Cellular Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Prolactin regulates transcription of the ion uptake Na+/Cl- cotransporter (ncc) gene in zebrafish gill","docAbstract":"Prolactin (PRL) is a well-known regulator of ion and water transport within osmoregulatory tissues across vertebrate species, yet how PRL acts on some of its target tissues remains poorly understood. Using zebrafish as a model, we show that ionocytes in the gill directly respond to systemic PRL to regulate mechanisms of ion uptake. Ion-poor conditions led to increases in the expression of PRL receptor (prlra), Na+/Cl− cotransporter (ncc; slc12a10.2), Na+/H+ exchanger (nhe3b; slc9a3.2), and epithelial Ca2+ channel (ecac; trpv6) transcripts within the gill. Intraperitoneal injection of ovine PRL (oPRL) increased ncc and prlra transcripts, but did not affect nhe3b or ecac. Consistent with direct PRL action in the gill, addition of oPRL to cultured gill filaments stimulated ncc in a concentration-dependent manner, an effect blocked by a pure human PRL receptor antagonist (Δ1-9-G129R-hPRL). These results suggest that PRL signaling through PRL receptors in the gill regulates the expression of ncc, thereby linking this pituitary hormone with an effector of Cl− uptake in zebrafish for the first time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular and Cellular Endocrinology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.mce.2013.01.021","usgsCitation":"Breves, J.P., Serizier, S.B., Goffin, V., McCormick, S., and Karlstrom, R.O., 2013, Prolactin regulates transcription of the ion uptake Na+/Cl- cotransporter (ncc) gene in zebrafish gill: Molecular and Cellular Endocrinology, In Press, Corrected Proof, https://doi.org/10.1016/j.mce.2013.01.021.","productDescription":"In Press, Corrected Proof","ipdsId":"IP-042950","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473940,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3664226","text":"External Repository"},{"id":269099,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.mce.2013.01.021"},{"id":269100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513efcf9e4b0dcc7339693bf","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":473887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Serizier, Sandy B.","contributorId":26597,"corporation":false,"usgs":true,"family":"Serizier","given":"Sandy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":473889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goffin, Vincent","contributorId":25056,"corporation":false,"usgs":true,"family":"Goffin","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":473888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":39666,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karlstrom, Rolf O.","contributorId":42502,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Rolf","email":"","middleInitial":"O.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":473891,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179674,"text":"70179674 - 2013 - Upper crustal structure of Alabama from regional magnetic and gravity data: Using geology to interpret geophysics, and vice versa","interactions":[],"lastModifiedDate":"2017-01-11T08:58:18","indexId":"70179674","displayToPublicDate":"2013-02-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Upper crustal structure of Alabama from regional magnetic and gravity data: Using geology to interpret geophysics, and vice versa","docAbstract":"<p><span>Aeromagnetic and gravity data sets obtained for Alabama (United States) have been digitally merged and filtered to enhance upper-crustal anomalies. Beneath the Appalachian Basin in northwestern Alabama, broad deep-crustal anomalies of the continental interior include the Grenville front and New York–Alabama lineament (dextral fault). Toward the east and south, high-angle discordance between the northeast-trending Appalachians and the east-west–trending wedge of overlapping Mesozoic and Cenozoic Gulf Coastal Plain sediments reveals how bedrock geophysical signatures progressively change with deeper burial. High-frequency magnetic anomalies in the Appalachian deformed domain (ADD) correspond to amphibolites and mylonites outlining terranes, while broader, lower-amplitude domains include Paleozoic intrusive bodies and Grenville basement gneiss. Fundamental ADD structures (e.g., the Alexander City, Towaliga, and Goat Rock–Bartletts Ferry faults) can be traced southward beneath the Gulf Coastal Plain to the suture with Gondwanan crust of the Suwannee terrane. Within the ADD, there is clear magnetic distinction between Laurentian crust and the strongly linear, high-frequency magnetic highs of peri-Gondwanan (Carolina-Uchee) arc terranes. The contact (Central Piedmont suture) corresponds to surface exposures of the Bartletts Ferry fault. ADD magnetic and gravity signatures are truncated by the east-west–trending Altamaha magnetic low associated with the Suwannee suture. Arcuate northeast-trending magnetic linears of the Suwannee terrane reflect internal structure and Mesozoic failed-rift trends. Geophysical data can be used to make inferences on surface and subsurface geology and vice versa, which has applicability anywhere that bedrock is exposed or concealed beneath essentially non-magnetic sedimentary cover.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00703.1","usgsCitation":"Steltenpohl, M.G., Horton, J.W., Hatcher, R., Zietz, I., Daniels, D.L., and Higgins, M.W., 2013, Upper crustal structure of Alabama from regional magnetic and gravity data: Using geology to interpret geophysics, and vice versa: Geosphere, v. 9, no. 4, p. 1044-1064, https://doi.org/10.1130/GES00703.1.","productDescription":"21 p.","startPage":"1044","endPage":"1064","ipdsId":"IP-026836","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":473941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":173694,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":658186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatcher, Robert D.","contributorId":178197,"corporation":false,"usgs":false,"family":"Hatcher","given":"Robert D.","affiliations":[],"preferred":false,"id":658187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zietz, Isidore","contributorId":178196,"corporation":false,"usgs":false,"family":"Zietz","given":"Isidore","affiliations":[],"preferred":false,"id":658184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniels, David L. 0000-0003-0599-8036 dave@usgs.gov","orcid":"https://orcid.org/0000-0003-0599-8036","contributorId":1792,"corporation":false,"usgs":true,"family":"Daniels","given":"David","email":"dave@usgs.gov","middleInitial":"L.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":658185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higgins, Michael W.","contributorId":178198,"corporation":false,"usgs":false,"family":"Higgins","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":658188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044195,"text":"fs20133011 - 2013 - Concentrations of chloride and sodium in groundwater in New Hampshire from 1960 through 2011","interactions":[],"lastModifiedDate":"2016-08-10T15:32:19","indexId":"fs20133011","displayToPublicDate":"2013-02-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3011","title":"Concentrations of chloride and sodium in groundwater in New Hampshire from 1960 through 2011","docAbstract":"<p>Several studies from the 1970s and more recently (for example, Hall (1975), Daley and others (2009) and Mullaney (2009)) have found that concentrations of chloride and sodium in groundwater in New Hampshire have increased during the past 50 years. Increases likely are related to road salt and other anthropogenic sources, such as septic systems, wastewater, and contamination from landfills and salt-storage areas. According to water-quality data reported to the New Hampshire Department of Environmental Services (NHDES), about 100 public water systems (5 percent) in 2010 had at least one groundwater sample with chloride concentrations that were equal to or exceeded the U.S. Environmental Protection Agency (USEPA) secondary maximum contaminant level (SMCL) of 250 mg/L before the water was treated for public consumption. The SMCL for chloride is a measurement of potential cosmetic or aesthetic effects of chloride in water. High concentrations of chloride and sodium in drinking-water sources can be costly to remove.</p>\n<p>A new cooperative study between the U.S. Geological Survey (USGS) and the NHDES (Medalie, 2012) assessed chloride and sodium levels in groundwater in New Hampshire from the 1960s through 2011. The purpose of the study was to integrate all data on concentrations of chloride and sodium from groundwater in New Hampshire available from various Federal and State sources, including from the NHDES, the New Hamsphire Department of Health and Human Services, the USGS, and the U.S. Environmental Protection SurveyAgency (USEPA), for public and private (domestic) wells and to organize the data into a database. Medalie (2012) explained the many assumptions and limitations of disparate data that were collected to meet wide-ranging objectives. This fact sheet summarizes the most important findings of the data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133011","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services","usgsCitation":"Medalie, L., 2013, Concentrations of chloride and sodium in groundwater in New Hampshire from 1960 through 2011: U.S. Geological Survey Fact Sheet 2013-3011, 2 p., https://doi.org/10.3133/fs20133011.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1960-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":268539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2013_3011.gif"},{"id":268537,"type":{"id":15,"text":"Index 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,{"id":70202065,"text":"70202065 - 2013 - U-Pb ages of detrital zircons from the Tertiary Mississippi River delta plain in central Louisiana:  Insights into sediment provenance","interactions":[],"lastModifiedDate":"2019-02-08T15:17:24","indexId":"70202065","displayToPublicDate":"2013-02-27T13:52:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb ages of detrital zircons from the Tertiary Mississippi River delta plain in central Louisiana:  Insights into sediment provenance","docAbstract":"<p>The sources of the tremendous amount of Cenozoic siliciclastic sediment deposited in the Gulf of Mexico region remain debated because of a lack of definitive provenance-identifying characteristics. In an effort to build on prior provenance analysis, we present 101–160 single-grain detrital zircon U-Pb ages for each of 10 outcrop samples from Upper Paleocene to Upper Miocene sandstones from a ∼10,000 km2 swath of central Louisiana corresponding to the ancient Mississippi River Delta, the largest Cenozoic depocenter in the northern Gulf of Mexico region. Sample depositional age control is derived from biostratigraphy and/or regional lithostratigraphic correlation. U-Pb ages in each of the samples range from Cenozoic to Archean, and correspond to the ages of various geologic terranes that underlie the modern Mississippi River drainage basin. However, the prominence of various age distributions changes systematically through the Cenozoic stratigraphy, and pronounced shifts in the abundance of certain age distributions between stratal packages appear to be correlated to shifts in heavy mineral assemblages recorded across the northern Gulf of Mexico coastal plain. Comparison of coastal plain detrital zircon age distributions to age distributions from North American sedimentary cover and the ages of major North American crystalline basement rocks, aided by a sediment mixing model, illuminates the provenance of each of the stratal packages, and suggests that (1) the Mississippi River catchment has resembled its present configuration, at least in the east-west dimension, for much, if not all, of the Cenozoic, and (2) depositional episodes on the Louisiana coastal plain characterized by high sediment supply also corresponded to high proportions of sediment sourcing from the Sevier-Laramide region of the interior western United States. Sediment supply to the Louisiana coastal plain by the paleo–Mississippi River has generally been high during the Cenozoic, except for an anomalous low during the Middle Eocene, when the abundance of sediment derived from the Rocky Mountain region decreased dramatically relative to sediment derived from the Appalachian region.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00917.1","usgsCitation":"Craddock, W.H., and Kylander-Clark, A.R., 2013, U-Pb ages of detrital zircons from the Tertiary Mississippi River delta plain in central Louisiana:  Insights into sediment provenance: Geosphere, v. 9, no. 6, p. 1832-1851, https://doi.org/10.1130/GES00917.1.","productDescription":"20 p.","startPage":"1832","endPage":"1851","ipdsId":"IP-044256","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00917.1","text":"Publisher Index Page"},{"id":361097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.966667,\n              29.516667\n            ],\n            [\n              -89.966667,\n              29.408333\n            ],\n            [\n              -89.816667,\n              29.408333\n            ],\n            [\n              -89.816667,\n              29.516667\n            ],\n            [\n              -89.966667,\n              29.516667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. C.","affiliations":[],"preferred":false,"id":756814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044136,"text":"70044136 - 2013 - Applications of spectral band adjustment factors (SBAF) for cross-calibration","interactions":[],"lastModifiedDate":"2013-02-27T17:44:54","indexId":"70044136","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Applications of spectral band adjustment factors (SBAF) for cross-calibration","docAbstract":"To monitor land surface processes over a wide range of temporal and spatial scales, it is critical to have coordinated observations of the Earth's surface acquired from multiple spaceborne imaging sensors. However, an integrated global observation framework requires an understanding of how land surface processes are seen differently by various sensors. This is particularly true for sensors acquiring data in spectral bands whose relative spectral responses (RSRs) are not similar and thus may produce different results while observing the same target. The intrinsic offsets between two sensors caused by RSR mismatches can be compensated by using a spectral band adjustment factor (SBAF), which takes into account the spectral profile of the target and the RSR of the two sensors. The motivation of this work comes from the need to compensate the spectral response differences of multispectral sensors in order to provide a more accurate cross-calibration between the sensors. In this paper, radiometric cross-calibration of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors was performed using near-simultaneous observations over the Libya 4 pseudoinvariant calibration site in the visible and near-infrared spectral range. The RSR differences of the analogous ETM+ and MODIS spectral bands provide the opportunity to explore, understand, quantify, and compensate for the measurement differences between these two sensors. The cross-calibration was initially performed by comparing the top-of-atmosphere (TOA) reflectances between the two sensors over their lifetimes. The average percent differences in the long-term trends ranged from $-$5% to $+$6%. The RSR compensated ETM+ TOA reflectance (ETM+$^{ast}$) measurements were then found to agree with MODIS TOA reflectance to within 5% for all bands when Earth Observing-1 Hy- erion hyperspectral data were used to produce the SBAFs. These differences were later reduced to within 1% for all bands (except band 2) by using Environmental Satellite Scanning Imaging Absorption Spectrometer for Atmospheric Cartography hyperspectral data to produce the SBAFs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2012.2228007","usgsCitation":"Chander, G., 2013, Applications of spectral band adjustment factors (SBAF) for cross-calibration: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 3, p. 1267-1281, https://doi.org/10.1109/TGRS.2012.2228007.","productDescription":"15 p.","startPage":"1267","endPage":"1281","ipdsId":"IP-037261","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268516,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2012.2228007"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f2adfe4b0cad81a732d73","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":474863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044134,"text":"70044134 - 2013 - Overview of intercalibration of satellite instruments","interactions":[],"lastModifiedDate":"2013-02-27T17:45:28","indexId":"70044134","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Overview of intercalibration of satellite instruments","docAbstract":"Inter-calibration of satellite instruments is critical for detection and quantification of changes in the Earth’s environment, weather forecasting, understanding climate processes, and monitoring climate and land cover change. These applications use data from many satellites; for the data to be inter-operable, the instruments must be cross-calibrated. To meet the stringent needs of such applications requires that instruments provide reliable, accurate, and consistent measurements over time. Robust techniques are required to ensure that observations from different instruments can be normalized to a common scale that the community agrees on. The long-term reliability of this process needs to be sustained in accordance with established reference standards and best practices. Furthermore, establishing physical meaning to the information through robust Système International d'unités (SI) traceable Calibration and Validation (Cal/Val) is essential to fully understand the parameters under observation. The processes of calibration, correction, stability monitoring, and quality assurance need to be underpinned and evidenced by comparison with “peer instruments” and, ideally, highly calibrated in-orbit reference instruments. Inter-calibration between instruments is a central pillar of the Cal/Val strategies of many national and international satellite remote sensing organizations. Inter-calibration techniques as outlined in this paper not only provide a practical means of identifying and correcting relative biases in radiometric calibration between instruments but also enable potential data gaps between measurement records in a critical time series to be bridged. Use of a robust set of internationally agreed upon and coordinated inter-calibration techniques will lead to significant improvement in the consistency between satellite instruments and facilitate accurate monitoring of the Earth’s climate at uncertainty levels needed to detect and attribute the mechanisms of change. This paper summarizes the state-of-the-art of post-launch radiometric calibration of remote sensing satellite instruments, through inter-calibration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2012.2228654","usgsCitation":"Chander, G., Hewison, T., Fox, N., Wu, X., Xiong, X., and Blackwell, W., 2013, Overview of intercalibration of satellite instruments: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 3, p. 1056-1080, https://doi.org/10.1109/TGRS.2012.2228654.","productDescription":"25 p.","startPage":"1056","endPage":"1080","ipdsId":"IP-038923","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268514,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2012.2228654"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f2afee4b0cad81a732d87","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":474856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hewison, T.J.","contributorId":75403,"corporation":false,"usgs":true,"family":"Hewison","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":474857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, N.","contributorId":90905,"corporation":false,"usgs":true,"family":"Fox","given":"N.","email":"","affiliations":[],"preferred":false,"id":474858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, X.","contributorId":31925,"corporation":false,"usgs":true,"family":"Wu","given":"X.","email":"","affiliations":[],"preferred":false,"id":474854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":474855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackwell, W.J.","contributorId":23405,"corporation":false,"usgs":true,"family":"Blackwell","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":474853,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044171,"text":"ds709S - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kunduz mineral district in Afghanistan: Chapter S in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-02-27T16:24:33","indexId":"ds709S","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"S","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kunduz mineral district in Afghanistan: Chapter S in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Kunduz mineral district, which has celestite deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2007,2008,2009), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then coregistered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Kunduz) and the WGS84 datum. The final image mosaics were subdivided into five overlapping tiles or quadrants because of the large size of the target area. The five image tiles (or quadrants) for the Kunduz area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709-S)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709S","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey; Chapter S in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","usgsCitation":"Davis, P.A., Arko, S.A., and Harbin, M., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kunduz mineral district in Afghanistan: Chapter S in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>: U.S. Geological Survey Data Series 709, HTML Document; Readme; 4 Index Maps; 16 Image Files; 16 Metadata Files; 1 Shapefile, https://doi.org/10.3133/ds709S.","productDescription":"HTML Document; Readme; 4 Index Maps; 16 Image Files; 16 Metadata Files; 1 Shapefile","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":268501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_S.png"},{"id":268498,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/s/image_files/image_files.html"},{"id":268499,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/s/metadata/metadata.html"},{"id":268500,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/s/shapefiles/shapefiles.html"},{"id":268495,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/s/"},{"id":268496,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/s/1_readme.txt"},{"id":268497,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/s/index_maps/index_maps.html"}],"country":"Afghanistan","otherGeospatial":"Kunduz Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 58.0,29.0 ], [ 58.0,40.0 ], [ 77.0,40.0 ], [ 77.0,29.0 ], [ 58.0,29.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f2afde4b0cad81a732d7f","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":474973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arko, Scott A.","contributorId":101929,"corporation":false,"usgs":true,"family":"Arko","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harbin, Michelle L.","contributorId":20590,"corporation":false,"usgs":true,"family":"Harbin","given":"Michelle L.","affiliations":[],"preferred":false,"id":474974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044172,"text":"ofr20131043 - 2013 - Monitoring storm tide and flooding from Hurricane Sandy along the Atlantic coast of the United States, October 2012","interactions":[],"lastModifiedDate":"2017-02-03T12:20:59","indexId":"ofr20131043","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1043","title":"Monitoring storm tide and flooding from Hurricane Sandy along the Atlantic coast of the United States, October 2012","docAbstract":"The U.S. Geological Survey (USGS) deployed a temporary monitoring network of water-level and barometric pressure sensors at 224 locations along the Atlantic coast from Virginia to Maine to continuously record the timing, areal extent, and magnitude of hurricane storm tide and coastal flooding generated by Hurricane Sandy. These records were greatly supplemented by an extensive post-flood high-water mark (HWM) flagging and surveying campaign from November to December 2012 involving more than 950 HWMs. Both efforts were undertaken as part of a coordinated federal emergency response as outlined by the Stafford Act under a directed mission assignment by the Federal Emergency Management Agency (FEMA).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131043","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"McCallum, B.E., Wicklein, S., Reiser, R.G., Busciolano, R., Morrison, J., Verdi, R.J., Painter, J.A., Frantz, E.R., and Gotvald, A.J., 2013, Monitoring storm tide and flooding from Hurricane Sandy along the Atlantic coast of the United States, October 2012: U.S. Geological Survey Open-File Report 2013-1043, 42 p.; Tables 2-6, https://doi.org/10.3133/ofr20131043.","productDescription":"42 p.; 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,{"id":70044294,"text":"sir20135016 - 2013 - Macrophyte and pH buffering updates to the Klamath River water-quality model upstream of Keno Dam, Oregon","interactions":[],"lastModifiedDate":"2013-03-01T14:08:40","indexId":"sir20135016","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5016","title":"Macrophyte and pH buffering updates to the Klamath River water-quality model upstream of Keno Dam, Oregon","docAbstract":"A hydrodynamic, water temperature, and water-quality model of the Link River to Keno Dam reach of the upper Klamath River was updated to account for macrophytes and enhanced pH buffering from dissolved organic matter, ammonia, and orthophosphorus. Macrophytes had been observed in this reach by field personnel, so macrophyte field data were collected in summer and fall (June-October) 2011 to provide a dataset to guide the inclusion of macrophytes in the model. Three types of macrophytes were most common: pondweed (Potamogeton species), coontail (Ceratophyllum demersum), and common waterweed (Elodea canadensis). Pondweed was found throughout the Link River to Keno Dam reach in early summer with densities declining by mid-summer and fall. Coontail and common waterweed were more common in the lower reach near Keno Dam and were at highest density in summer. All species were most dense in shallow water (less than 2 meters deep) near shore. The highest estimated dry weight biomass for any sample during the study was 202 grams per square meter for coontail in August. Guided by field results, three macrophyte groups were incorporated into the CE-QUAL-W2 model for calendar years 2006-09. The CE-QUAL-W2 model code was adjusted to allow the user to initialize macrophyte populations spatially across the model grid. The default CE-QUAL-W2 model includes pH buffering by carbonates, but does not include pH buffering by organic matter, ammonia, or orthophosphorus. These three constituents, especially dissolved organic matter, are present in the upper Klamath River at concentrations that provide substantial pH buffering capacity. In this study, CE-QUAL-W2 was updated to include this enhanced buffering capacity in the simulation of pH. Acid dissociation constants for ammonium and phosphoric acid were taken from the literature. For dissolved organic matter, the number of organic acid groups and each group's acid dissociation constant (K<sub>a</sub>) and site density (moles of sites per mole of carbon) were derived by fitting a theoretical buffering response to measured upper Klamath River alkalinity titration curves. The organic matter buffering in the Klamath River was modeled with two monoprotic organic acids: carboxylic acids with a mean pK<sub>a</sub> of 5.584 and site density of 0.1925, and phenolic organic acids with a mean pK<sub>a</sub> of 9.594 and site density of 0.6466. Total inorganic carbon concentrations in the model boundary inputs were recalculated based on the new buffering equations. CE-QUAL-W2 was also adjusted to allow the simulation of nonconservative alkalinity caused by nitrification, denitrification, photosynthesis, and respiration. The Klamath River model was recalibrated after the macrophyte and pH buffering updates producing improved predictions for pH, dissolved oxygen, and particulate carbon.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135016","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sullivan, A.B., Rounds, S.A., Asbill-Case, J.R., and Deas, M., 2013, Macrophyte and pH buffering updates to the Klamath River water-quality model upstream of Keno Dam, Oregon: U.S. Geological Survey Scientific Investigations Report 2013-5016, viii, 54 p., https://doi.org/10.3133/sir20135016.","productDescription":"viii, 54 p.","numberOfPages":"64","onlineOnly":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":268629,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5016/pdf/sir20135016.pdf"},{"id":268628,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5016/index.html"},{"id":268630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2013_5016.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 122,42.03 ], [ 122,42.33 ], [ 121.75,42.33 ], [ 121.75,42.03 ], [ 122,42.03 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5131dc02e4b0140546f53bf9","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":56317,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett","email":"annett@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":475250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asbill-Case, Jessica R.","contributorId":32058,"corporation":false,"usgs":true,"family":"Asbill-Case","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deas, Michael L.","contributorId":98830,"corporation":false,"usgs":true,"family":"Deas","given":"Michael L.","affiliations":[],"preferred":false,"id":475251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044146,"text":"70044146 - 2013 - Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study","interactions":[],"lastModifiedDate":"2017-05-10T15:48:47","indexId":"70044146","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study","docAbstract":"Cross-calibration of satellite sensors permits the quantitative comparison of measurements obtained from different Earth Observing (EO) systems. Cross-calibration studies usually use simultaneous or near-simultaneous observations from several spaceborne sensors to develop band-by-band relationships through regression analysis. The investigation described in this paper focuses on evaluation of the uncertainties inherent in the cross-calibration process, including contributions due to different spectral responses, spectral resolution, spectral filter shift, geometric misregistrations, and spatial resolutions. The hyperspectral data from the Environmental Satellite SCanning Imaging Absorption SpectroMeter for Atmospheric CartograpHY and the EO-1 Hyperion, along with the relative spectral responses (RSRs) from the Landsat 7 Enhanced Thematic Mapper (TM) Plus and the Terra Moderate Resolution Imaging Spectroradiometer sensors, were used for the spectral uncertainty study. The data from Landsat 5 TM over five representative land cover types (desert, rangeland, grassland, deciduous forest, and coniferous forest) were used for the geometric misregistrations and spatial-resolution study. The spectral resolution uncertainty was found to be within 0.25%, spectral filter shift within 2.5%, geometric misregistrations within 0.35%, and spatial-resolution effects within 0.1% for the Libya 4 site. The one-sigma uncertainties presented in this paper are uncorrelated, and therefore, the uncertainties can be summed orthogonally. Furthermore, an overall total uncertainty was developed. In general, the results suggested that the spectral uncertainty is more dominant compared to other uncertainties presented in this paper. Therefore, the effect of the sensor RSR differences needs to be quantified and compensated to avoid large uncertainties in cross-calibration results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2012.2228008","usgsCitation":"Chander, G., Helder, D., Aaron, D., Mishra, N., and Shrestha, A., 2013, Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 3, p. 1282-1296, https://doi.org/10.1109/TGRS.2012.2228008.","productDescription":"15 p.","startPage":"1282","endPage":"1296","ipdsId":"IP-039167","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f2af9e4b0cad81a732d77","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":474896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":474897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":474899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mishra, N.","contributorId":67379,"corporation":false,"usgs":true,"family":"Mishra","given":"N.","email":"","affiliations":[],"preferred":false,"id":474898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, A.K.","contributorId":104783,"corporation":false,"usgs":true,"family":"Shrestha","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":474900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044170,"text":"ds709R - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Dudkash mineral district in Afghanistan: Chapter R in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-02-27T16:10:20","indexId":"ds709R","displayToPublicDate":"2013-02-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"R","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Dudkash mineral district in Afghanistan: Chapter R in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Dudkash mineral district, which has industrial mineral deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2006,2007,2008,2009), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then coregistered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Dudkash) and the WGS84 datum. The final image mosaics were subdivided into eight overlapping tiles or quadrants because of the large size of the target area. The eight image tiles (or quadrants) for the Dudkash area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709R","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey; This report is Chapter R in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i> (DS 709-R)","usgsCitation":"Davis, P.A., Arko, S.A., and Harbin, M., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Dudkash mineral district in Afghanistan: Chapter R in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>: U.S. Geological Survey Data Series 709, HTML Document; Readme; 4 Index Maps; 16 Image Files; 16 Metadata Files; 1 Shapefile, https://doi.org/10.3133/ds709R.","productDescription":"HTML Document; Readme; 4 Index Maps; 16 Image Files; 16 Metadata Files; 1 Shapefile","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":268489,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/r/1_readme.txt"},{"id":268490,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/r/index_maps/index_maps.html"},{"id":268491,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/r/image_files/image_files.html"},{"id":268492,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/r/metadata/metadata.html"},{"id":268493,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/r/shapefiles/shapefiles.html"},{"id":268488,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/r/"},{"id":268494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_R.png"}],"country":"Afghanistan","otherGeospatial":"Dudkash Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 58.0,29.0 ], [ 58.0,40.0 ], [ 77.0,40.0 ], [ 77.0,29.0 ], [ 58.0,29.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f2afbe4b0cad81a732d7b","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":474970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arko, Scott A.","contributorId":101929,"corporation":false,"usgs":true,"family":"Arko","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harbin, Michelle L.","contributorId":20590,"corporation":false,"usgs":true,"family":"Harbin","given":"Michelle L.","affiliations":[],"preferred":false,"id":474971,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188865,"text":"70188865 - 2013 -  Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data","interactions":[],"lastModifiedDate":"2017-06-27T14:49:17","indexId":"70188865","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":" Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data","docAbstract":"<p><span>There is widespread agreement that geothermal springs in extensional geothermal systems are concentrated at fault tips and in fault interaction zones where porosity and permeability are dynamically maintained (Curewitz and Karson, 1997; Faulds et al., 2010). Making these spatial correlations typically involves geological and geophysical studies in order to map structures and their relationship to springs at the surface. Geophysical studies include gravity and magnetic surveys, which are useful for identifying buried, intra-basin structures, especially in areas where highly magnetic, dense mafic volcanic rocks are interbedded with, and faulted against less magnetic, less dense sedimentary rock. High-resolution magnetic data can also be collected from the air in order to provide continuous coverage. Unmanned aerial systems (UAS) are well-suited for conducting these surveys as they can provide uniform, low-altitude, high-resolution coverage of an area without endangering crew. In addition, they are more easily adaptable to changes in flight plans as data are collected, and improve efficiency. We have developed and tested a new system to collect magnetic data using small-platform UAS. We deployed this new system in Surprise Valley, CA, in September, 2012, on NASA's SIERRA UAS to perform a reconnaissance survey of the entire valley as well as detailed surveys in key transition zones. This survey has enabled us to trace magnetic anomalies seen in ground-based profiles along their length. Most prominent of these is an intra-basin magnetic high that we interpret as a buried, faulted mafic dike that runs a significant length of the valley. Though this feature lacks surface expression, it appears to control the location of geothermal springs. All of the major hot springs on the east side of the valley lie along the edge of the high, and more specifically, at structural transitions where the high undergoes steps, bends, or breaks. The close relationship between the springs and structure terminations revealed by this study is unprecedented. Collecting magnetic data via UAS represents a new capability in geothermal exploration of remote and dangerous areas that significantly enhances our ability to map the subsurface.</span></p>","largerWorkTitle":"Proceedings Thirty-eighth Workshop on Geothermal Reservoir Engineering","conferenceTitle":"Thirty-Eighth Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 11-13, 2013","conferenceLocation":"Stanford University, Stanford, California","language":"English","usgsCitation":"Glen, J.M., A.E. Egger, C. Ippolito, and , N., 2013,  Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data, <i>in</i> Proceedings Thirty-eighth Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 11-13, 2013, 8 p. .","productDescription":"8 p. ","ipdsId":"IP-044179","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":343009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343008,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.cwu.edu/geological_sciences/2/"}],"country":"United States","state":"California","county":"Modoc County ","otherGeospatial":"Surprise Valley ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.10528564453125,\n              41.92271616673922\n            ],\n            [\n              -120.14648437499999,\n              41.864447405239375\n            ],\n            [\n              -120.18356323242188,\n              41.78769700539063\n            ],\n            [\n              -120.20278930664062,\n              41.70982942509964\n            ],\n            [\n              -120.21514892578125,\n              41.66162721430806\n            ],\n            [\n              -120.19454956054686,\n              41.59182393372352\n            ],\n            [\n              -120.17807006835936,\n              41.549700145132725\n            ],\n            [\n              -120.18905639648438,\n              41.49932105451145\n            ],\n            [\n              -120.1519775390625,\n              41.43860847395721\n            ],\n            [\n              -120.12451171875,\n              41.35104125623227\n            ],\n            [\n              -120.10253906249999,\n              41.29122180718259\n            ],\n            [\n              -120.03799438476561,\n              41.1724519493126\n            ],\n            [\n              -120.00503540039061,\n              41.176586696571015\n            ],\n            [\n              -120.0146484375,\n              41.27058168052551\n            ],\n            [\n              -120.01190185546875,\n              41.307729208348015\n            ],\n            [\n              -120.01327514648438,\n              41.38608229923676\n            ],\n            [\n              -120.00778198242186,\n              41.54764462357737\n            ],\n            [\n              -120.02975463867188,\n              41.790768787851285\n            ],\n            [\n              -120.00228881835938,\n              41.92782492551717\n            ],\n            [\n              -120.02014160156249,\n              41.96051129429777\n            ],\n            [\n              -120.10528564453125,\n              41.92271616673922\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab5","contributors":{"authors":[{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"A.E. Egger","contributorId":193534,"corporation":false,"usgs":false,"family":"A.E. Egger","affiliations":[],"preferred":false,"id":700742,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"C. Ippolito","contributorId":193535,"corporation":false,"usgs":false,"family":"C. Ippolito","affiliations":[],"preferred":false,"id":700743,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":" N.Athens","contributorId":193536,"corporation":false,"usgs":false,"given":"N.Athens","email":"","affiliations":[],"preferred":false,"id":700744,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70042510,"text":"70042510 - 2013 - A comment on \"Novel scavenger removal trials increase wind turbine-caused avian fatality estimates\"","interactions":[],"lastModifiedDate":"2018-03-29T15:16:16","indexId":"70042510","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A comment on \"Novel scavenger removal trials increase wind turbine-caused avian fatality estimates\"","docAbstract":"<p><span>In a recent paper, Smallwood et al. (2010) conducted a study to compare their “novel” approach to conducting carcass removal trials with what they term the “conventional” approach and to evaluate the effects of the different methods on estimated avian fatality at a wind power facility in California. A quick glance at Table 3 that succinctly summarizes their results and provides estimated fatality rates and 80% confidence intervals calculated using the 2 methods reveals a surprising result. The confidence intervals of all of their estimates and most of the conventional estimates extend below 0. These results imply that wind turbines may have the capacity to create live birds. But a more likely interpretation is that a serious error occurred in the calculation of either the average fatality rate or its standard error or both. Further evaluation of their methods reveals that the scientific basis for concluding that “many estimates of scavenger removal rates prior to [their] study were likely biased low due to scavenger swamping” and “previously reported estimates of avian fatality rates … should be adjusted upwards” was not evident in their analysis and results. Their comparison to conventional approaches was not applicable, their statistical models were questionable, and the conclusions they drew were unsupported.</span></p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/jwmg.468","usgsCitation":"Huso, M., and Erickson, W.P., 2013, A comment on \"Novel scavenger removal trials increase wind turbine-caused avian fatality estimates\": Journal of Wildlife Management, v. 77, no. 2, p. 213-215, https://doi.org/10.1002/jwmg.468.","productDescription":"3 p.","startPage":"213","endPage":"215","ipdsId":"IP-031078","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268311,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.468"}],"volume":"77","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-07","publicationStatus":"PW","scienceBaseUri":"539a2a60e4b0a59b2649726f","contributors":{"authors":[{"text":"Huso, Manuela M.P.","contributorId":80566,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela M.P.","affiliations":[],"preferred":false,"id":471670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Wallace P.","contributorId":78627,"corporation":false,"usgs":true,"family":"Erickson","given":"Wallace","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043719,"text":"70043719 - 2013 - A comprehensive change detection method for updating the National Land Cover Database to circa 2011","interactions":[],"lastModifiedDate":"2013-02-26T12:57:26","indexId":"70043719","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","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":"A comprehensive change detection method for updating the National Land Cover Database to circa 2011","docAbstract":"The importance of characterizing, quantifying, and monitoring land cover, land use, and their changes has been widely recognized by global and environmental change studies. Since the early 1990s, three U.S. National Land Cover Database (NLCD) products (circa 1992, 2001, and 2006) have been released as free downloads for users. The NLCD 2006 also provides land cover change products between 2001 and 2006. To continue providing updated national land cover and change datasets, a new initiative in developing NLCD 2011 is currently underway. We present a new Comprehensive Change Detection Method (CCDM) designed as a key component for the development of NLCD 2011 and the research results from two exemplar studies. The CCDM integrates spectral-based change detection algorithms including a Multi-Index Integrated Change Analysis (MIICA) model and a novel change model called Zone, which extracts change information from two Landsat image pairs. The MIICA model is the core module of the change detection strategy and uses four spectral indices (CV, RCVMAX, dNBR, and dNDVI) to obtain the changes that occurred between two image dates. The CCDM also includes a knowledge-based system, which uses critical information on historical and current land cover conditions and trends and the likelihood of land cover change, to combine the changes from MIICA and Zone. For NLCD 2011, the improved and enhanced change products obtained from the CCDM provide critical information on location, magnitude, and direction of potential change areas and serve as a basis for further characterizing land cover changes for the nation. An accuracy assessment from the two study areas show 100% agreement between CCDM mapped no-change class with reference dataset, and 18% and 82% disagreement for the change class for WRS path/row p22r39 and p33r33, respectively. The strength of the CCDM is that the method is simple, easy to operate, widely applicable, and capable of capturing a variety of natural and anthropogenic disturbances potentially associated with land cover changes on different landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2013.01.012","usgsCitation":"Jin, S., Yang, L., Danielson, P., Homer, C.G., Fry, J., and Xian, G., 2013, A comprehensive change detection method for updating the National Land Cover Database to circa 2011: Remote Sensing of Environment, v. 132, p. 159-175, https://doi.org/10.1016/j.rse.2013.01.012.","productDescription":"17 p.","startPage":"159","endPage":"175","ipdsId":"IP-041925","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268380,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.01.012"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49a9e4b0b290850ef516","chorus":{"doi":"10.1016/j.rse.2013.01.012","url":"http://dx.doi.org/10.1016/j.rse.2013.01.012","publisher":"Elsevier BV","authors":"Jin Suming, Yang Limin, Danielson Patrick, Homer Collin, Fry Joyce, Xian George","journalName":"Remote Sensing of Environment","publicationDate":"5/2013","auditedOn":"4/22/2016"},"contributors":{"authors":[{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@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":474161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danielson, Patrick 0000-0002-2990-2783 pdanielson@usgs.gov","orcid":"https://orcid.org/0000-0002-2990-2783","contributorId":3551,"corporation":false,"usgs":true,"family":"Danielson","given":"Patrick","email":"pdanielson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fry, Joyce 0000-0002-8466-9582 jfry@usgs.gov","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":3147,"corporation":false,"usgs":true,"family":"Fry","given":"Joyce","email":"jfry@usgs.gov","affiliations":[],"preferred":true,"id":474158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":474162,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042646,"text":"70042646 - 2013 - Salmon-mediated nutrient flux in selected streams of the Columbia River basin, USA","interactions":[],"lastModifiedDate":"2013-04-20T19:45:03","indexId":"70042646","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Salmon-mediated nutrient flux in selected streams of the Columbia River basin, USA","docAbstract":"Salmon provide an important resource subsidy and linkage between marine and land-based ecosystems. This flow of energy and nutrients is not uni-directional (i.e., upstream only); in addition to passive nutrient export via stream flow, juvenile emigrants actively export nutrients from freshwater environments. In some cases, nutrient export can exceed import. We evaluated nutrient fluxes in streams across central Idaho, USA using Chinook salmon (Oncorhynchus tshawytscha) adult escapement and juvenile production data from 1998 to 2008. We found in the majority of stream-years evaluated, adults imported more nutrients than progeny exported; however, in 3% of the years, juveniles exported more nutrients than their parents imported. On average, juvenile emigrants exported 22 ± 3% of the nitrogen and 30 ± 4% of the phosphorus their parents imported. This relationship was density dependent and nonlinear; during periods of low adult abundance juveniles were larger and exported up to 194% and 268% of parental nitrogen and phosphorus inputs, respectively. We highlight minimum escapement thresholds that appear to 1) maintain consistently positive net nutrient flux and 2) reduce the average proportional rate of export across study streams. Our results suggest a state-shift occurs when adult spawner abundance falls below a threshold to a point where the probability of juvenile nutrient exports exceeding adult imports becomes increasingly likely.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Science Publishing","publisherLocation":"Ottawa, Ontario","doi":"10.1139/cjfas-2012-0347","usgsCitation":"Kohler, A.E., Kusnierz, P.C., Copeland, T., Venditti, D.A., Denny, L., Gable, J., Lewis, B., Kinzer, R., Barnett, B., and Wipfli, M.S., 2013, Salmon-mediated nutrient flux in selected streams of the Columbia River basin, USA: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 3, p. 502-512, https://doi.org/10.1139/cjfas-2012-0347.","productDescription":"11 p.","startPage":"502","endPage":"512","ipdsId":"IP-039469","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":268392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268391,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2012-0347"}],"country":"United States","state":"Idaho","otherGeospatial":"Columbia River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.46,42.15 ], [ -121.46,48.13 ], [ -111.19,48.13 ], [ -111.19,42.15 ], [ -121.46,42.15 ] ] ] } } ] }","volume":"70","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515ea0f6e4b088aa2258098c","contributors":{"authors":[{"text":"Kohler, Andre E.","contributorId":62491,"corporation":false,"usgs":true,"family":"Kohler","given":"Andre","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":471974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kusnierz, Paul C.","contributorId":13881,"corporation":false,"usgs":true,"family":"Kusnierz","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copeland, Timothy","contributorId":27760,"corporation":false,"usgs":true,"family":"Copeland","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":471971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Venditti, David A.","contributorId":38036,"corporation":false,"usgs":true,"family":"Venditti","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denny, Lytle","contributorId":96172,"corporation":false,"usgs":true,"family":"Denny","given":"Lytle","email":"","affiliations":[],"preferred":false,"id":471977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gable, Josh","contributorId":7156,"corporation":false,"usgs":true,"family":"Gable","given":"Josh","email":"","affiliations":[],"preferred":false,"id":471969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewis, Bert","contributorId":92138,"corporation":false,"usgs":true,"family":"Lewis","given":"Bert","email":"","affiliations":[],"preferred":false,"id":471976,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kinzer, Ryan","contributorId":45201,"corporation":false,"usgs":true,"family":"Kinzer","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":471973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barnett, Bruce","contributorId":82565,"corporation":false,"usgs":true,"family":"Barnett","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":471975,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":471968,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70044079,"text":"fs20123143 - 2013 - Assessment of coal geology, resources, and reserve base in the Powder River Basin, Wyoming and Montana","interactions":[],"lastModifiedDate":"2013-02-26T12:52:07","indexId":"fs20123143","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3143","title":"Assessment of coal geology, resources, and reserve base in the Powder River Basin, Wyoming and Montana","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated in-place resources of 1.07 trillion short tons of coal in the Powder River Basin, Wyoming and Montana. Of that total, with a maximum stripping ratio of 10:1, recoverable coal was 162 billion tons. The estimate of economically recoverable resources was 25 billion tons.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123143","usgsCitation":"Scott, D.C., and Luppens, J.A., 2013, Assessment of coal geology, resources, and reserve base in the Powder River Basin, Wyoming and Montana: U.S. Geological Survey Fact Sheet 2012-3143, 6 p., https://doi.org/10.3133/fs20123143.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":268379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3143.gif"},{"id":268378,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3143/fs-2012-3143.pdf"},{"id":268377,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3143/"}],"country":"United States","state":"Montana;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0076,42.6259 ], [ -104.0076,46.7850 ], [ -108.1714,46.7850 ], [ -108.1714,42.6259 ], [ -104.0076,42.6259 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e2ae4b0b290850f1ef2","contributors":{"authors":[{"text":"Scott, David C. 0000-0002-7925-7452 dscott@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-7452","contributorId":629,"corporation":false,"usgs":true,"family":"Scott","given":"David","email":"dscott@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":474794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luppens, James A. 0000-0001-7607-8750 jluppens@usgs.gov","orcid":"https://orcid.org/0000-0001-7607-8750","contributorId":550,"corporation":false,"usgs":true,"family":"Luppens","given":"James","email":"jluppens@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474793,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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