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,{"id":70029703,"text":"70029703 - 2007 - Biological uptake of polychlorinated biphenyls by Macoma balthica from sediment amended with activated carbon","interactions":[],"lastModifiedDate":"2023-08-22T11:16:52.003308","indexId":"70029703","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biological uptake of polychlorinated biphenyls by Macoma balthica from sediment amended with activated carbon","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>This work characterizes the efficacy of activated carbon amendment in reducing polychlorinated biphenyl (PCB) bioavailability to clams (<i>Macoma balthica</i>) from field-contaminated sediment (Hunters Point Naval Shipyard, San Francisco Bay, CA, USA). Test methods were developed for the use of clams to investigate the effects of sediment amendment on biological uptake. Sediment was mixed with activated carbon for one month. Bioaccumulation tests (28 d) were employed to assess the relationships between carbon dose and carbon particle size on observed reductions in clam biological uptake of PCBs. Extraction and cleanup protocols were developed for the clam tissue. Efficacy of activated carbon treatment was found to increase with both increasing carbon dose and decreasing carbon particle size. Average reductions in bioaccumulation of 22, 64, and 84% relative to untreated Hunters Point sediment were observed for carbon amendments of 0.34, 1.7, and 3.4%, respectively. Average bioaccumulation reductions of 41, 73, and 89% were observed for amendments (dose = 1.7% dry wt) with carbon particles of 180 to 250, 75 to 180, and 25 to 75 μm, respectively, in diameter, indicating kinetic phenomena in these tests. Additionally, a biodynamic model quantifying clam PCB uptake from water and sediment as well as loss through elimination provided a good fit of experimental data. Model predictions suggest that the sediment ingestion route contributed 80 to 95% of the PCB burdens in the clams.</p></div></div>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1897/06-278R1.1","issn":"07307268","usgsCitation":"McLeod, P.B., van den Heuvel-Greve, M.J., Luoma, S., and Luthy, R., 2007, Biological uptake of polychlorinated biphenyls by Macoma balthica from sediment amended with activated carbon: Environmental Toxicology and Chemistry, v. 26, no. 5, p. 980-987, https://doi.org/10.1897/06-278R1.1.","productDescription":"8 p.","startPage":"980","endPage":"987","numberOfPages":"8","costCenters":[],"links":[{"id":477066,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1897/06-278r1.1","text":"Publisher Index Page"},{"id":240446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-05-01","publicationStatus":"PW","scienceBaseUri":"5059f16fe4b0c8380cd4ac6d","contributors":{"authors":[{"text":"McLeod, Pamela B.","contributorId":76913,"corporation":false,"usgs":true,"family":"McLeod","given":"Pamela","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":423925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van den Heuvel-Greve, Martine J.","contributorId":60822,"corporation":false,"usgs":true,"family":"van den Heuvel-Greve","given":"Martine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":423924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, S. N.","contributorId":86353,"corporation":false,"usgs":true,"family":"Luoma","given":"S. N.","affiliations":[],"preferred":false,"id":423926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luthy, R.G.","contributorId":36335,"corporation":false,"usgs":true,"family":"Luthy","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":423923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70029930,"text":"70029930 - 2007 - Quantifying tolerance indicator values for common stream fish species of the United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:09","indexId":"70029930","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying tolerance indicator values for common stream fish species of the United States","docAbstract":"The classification of fish species tolerance to environmental disturbance is often used as a means to assess ecosystem conditions. Its use, however, may be problematic because the approach to tolerance classification is based on subjective judgment. We analyzed fish and physicochemical data from 773 stream sites collected as part of the U.S. Geological Survey's National Water-Quality Assessment Program to calculate tolerance indicator values for 10 physicochemical variables using weighted averaging. Tolerance indicator values (TIVs) for ammonia, chloride, dissolved oxygen, nitrite plus nitrate, pH, phosphorus, specific conductance, sulfate, suspended sediment, and water temperature were calculated for 105 common fish species of the United States. Tolerance indicator values for specific conductance and sulfate were correlated (rho = 0.87), and thus, fish species may be co-tolerant to these water-quality variables. We integrated TIVs for each species into an overall tolerance classification for comparisons with judgment-based tolerance classifications. Principal components analysis indicated that the distinction between tolerant and intolerant classifications was determined largely by tolerance to suspended sediment, specific conductance, chloride, and total phosphorus. Factors such as water temperature, dissolved oxygen, and pH may not be as important in distinguishing between tolerant and intolerant classifications, but may help to segregate species classified as moderate. Empirically derived tolerance classifications were 58.8% in agreement with judgment-derived tolerance classifications. Canonical discriminant analysis revealed that few TIVs, primarily chloride, could discriminate among judgment-derived tolerance classifications of tolerant, moderate, and intolerant. To our knowledge, this is the first empirically based understanding of fish species tolerance for stream fishes in the United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolind.2006.02.004","issn":"1470160X","usgsCitation":"Meador, M.R., and Carlisle, D., 2007, Quantifying tolerance indicator values for common stream fish species of the United States: Ecological Indicators, v. 7, no. 2, p. 329-338, https://doi.org/10.1016/j.ecolind.2006.02.004.","startPage":"329","endPage":"338","numberOfPages":"10","costCenters":[],"links":[{"id":212660,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2006.02.004"},{"id":240182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91efe4b0c8380cd80559","contributors":{"authors":[{"text":"Meador, M. R.","contributorId":74400,"corporation":false,"usgs":true,"family":"Meador","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":424950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, D.M.","contributorId":81059,"corporation":false,"usgs":true,"family":"Carlisle","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":424951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70029940,"text":"70029940 - 2007 - Ambiguous taxa: Effects on the characterization and interpretation of invertebrate assemblages","interactions":[],"lastModifiedDate":"2016-11-30T10:46:33","indexId":"70029940","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Ambiguous taxa: Effects on the characterization and interpretation of invertebrate assemblages","docAbstract":"<p>Damaged and immature specimens often result in macroinvertebrate data that contain ambiguous parent-child pairs (i.e., abundances associated with multiple related levels of the taxonomic hierarchy such as Baetis pluto and the associated ambiguous parent Baetis sp.). The choice of method used to resolve ambiguous parent-child pairs may have a very large effect on the characterization of invertebrate assemblages and the interpretation of responses to environmental change because very large proportions of taxa richness (73-78%) and abundance (79-91%) can be associated with ambiguous parents. To address this issue, we examined 16 variations of 4 basic methods for resolving ambiguous taxa: RPKC (remove parent, keep child), MCWP (merge child with parent), RPMC (remove parent or merge child with parent depending on their abundances), and DPAC (distribute parents among children). The choice of method strongly affected assemblage structure, assemblage characteristics (e.g., metrics), and the ability to detect responses along environmental (urbanization) gradients. All methods except MCWP produced acceptable results when used consistently within a study. However, the assemblage characteristics (e.g., values of assemblage metrics) differed widely depending on the method used, and data should not be combined unless the methods used to resolve ambiguous taxa are well documented and are known to be comparable. The suitability of the methods was evaluated and compared on the basis of 13 criteria that considered conservation of taxa richness and abundance, consistency among samples, methods, and studies, and effects on the interpretation of the data. Methods RPMC and DPAC had the highest suitability scores regardless of whether ambiguous taxa were resolved for each sample separately or for a group of samples. Method MCWP gave consistently poor results. Methods MCWP and DPAC approximate the use of family-level identifications and operational taxonomic units (OTU), respectively. Our results suggest that restricting identifications to the family level is not a good method of resolving ambiguous taxa, whereas generating OTUs works well provided that documentation issues are addressed. ?? 2007 by The North American Benthological Society.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the North American Benthological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1899/0887-3593(2007)26[286:ATEOTC]2.0.CO;2","issn":"08873593","usgsCitation":"Cuffney, T., Bilger, M.D., and Haigler, A., 2007, Ambiguous taxa: Effects on the characterization and interpretation of invertebrate assemblages: Journal of the North American Benthological Society, v. 26, no. 2, p. 286-307, https://doi.org/10.1899/0887-3593(2007)26[286:ATEOTC]2.0.CO;2.","startPage":"286","endPage":"307","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":477279,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/0887-3593%282007%2926%5B286%3AATEOTC%5D2.0.CO%3B2","text":"External Repository"},{"id":240357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212813,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/0887-3593(2007)26[286:ATEOTC]2.0.CO;2"}],"volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9afe4b0c8380cd483ac","contributors":{"authors":[{"text":"Cuffney, T. F.","contributorId":108134,"corporation":false,"usgs":true,"family":"Cuffney","given":"T. F.","affiliations":[],"preferred":false,"id":424991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilger, Michael D.","contributorId":14861,"corporation":false,"usgs":true,"family":"Bilger","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":424989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haigler, A.M.","contributorId":45119,"corporation":false,"usgs":true,"family":"Haigler","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":424990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70029704,"text":"70029704 - 2007 - Return to the wild: Translocation as a tool in conservation of the desert tortoise (<i>Gopherus agassizii</i>)","interactions":[],"lastModifiedDate":"2019-11-11T13:24:18","indexId":"70029704","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Return to the wild: Translocation as a tool in conservation of the desert tortoise (<i>Gopherus agassizii</i>)","docAbstract":"<p>Translocation could be used as a tool in conservation of the threatened Mojave Desert Tortoise (<i>Gopherus agassizii</i>) by moving individuals from harm's way and into areas where they could contribute to conservation of the species. Numerous factors may affect the success of translocations, including the conditions experienced by tortoises in holding facilities while awaiting translocation. The tortoises available for our translocation study had been provided supplemental water during their years spent in a captive holding facility, potentially inducing carelessness in water conservation. In addition to generally investigating the efficacy of translocation, we compared the effects of continuing with the effects of ceasing the holding facility's water supplementation regimen. After exposure to one of the two water regimens, all tortoises were given the opportunity to hydrate immediately prior to release. We examined behavior, body mass, carapace length, movement, and mortality of tortoises for two activity seasons following release to the wild. Water supplementation was correlated with high rates of carapace growth and distant movements by males after release. Lengthy movements following translocation may be problematic for conservation planning, but this should be evaluated in light of the goals and circumstances of each translocation project. Although the mortality rate was 21.4% in 1997, data suggest that drought conditions at the site rather than the translocation itself negatively affected the tortoises. None of the tortoises died during their second season at the site. Our results indicate that translocation should be considered a useful tool in conservation of the Desert Tortoise.</p>","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.biocon.2006.11.022","issn":"00063207","usgsCitation":"Field, K., Tracy, C., Medica, P., Marlow, R., and Corn, P., 2007, Return to the wild: Translocation as a tool in conservation of the desert tortoise (<i>Gopherus agassizii</i>): Biological Conservation, v. 136, no. 2, p. 232-245, https://doi.org/10.1016/j.biocon.2006.11.022.","productDescription":"14 p.","startPage":"232","endPage":"245","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":240478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212913,"rank":9999,"type":{"id":10,"text":"Digital Object 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,{"id":70029941,"text":"70029941 - 2007 - Mars reconnaissance orbiter's high resolution imaging science experiment (HiRISE)","interactions":[],"lastModifiedDate":"2018-12-07T16:19:37","indexId":"70029941","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mars reconnaissance orbiter's high resolution imaging science experiment (HiRISE)","docAbstract":"<p><span>The HiRISE camera features a 0.5 m diameter primary mirror, 12 m effective focal length, and a focal plane system that can acquire images containing up to 28 Gb (gigabits) of data in as little as 6 seconds. HiRISE will provide detailed images (0.25 to 1.3 m/pixel) covering ∼1% of the Martian surface during the 2‐year Primary Science Phase (PSP) beginning November 2006. Most images will include color data covering 20% of the potential field of view. A top priority is to acquire ∼1000 stereo pairs and apply precision geometric corrections to enable topographic measurements to better than 25 cm vertical precision. We expect to return more than 12 Tb of HiRISE data during the 2‐year PSP, and use pixel binning, conversion from 14 to 8 bit values, and a lossless compression system to increase coverage. HiRISE images are acquired via 14 CCD detectors, each with 2 output channels, and with multiple choices for pixel binning and number of Time Delay and Integration lines. HiRISE will support Mars exploration by locating and characterizing past, present, and future landing sites, unsuccessful landing sites, and past and potentially future rover traverses. We will investigate cratering, volcanism, tectonism, hydrology, sedimentary processes, stratigraphy, aeolian processes, mass wasting, landscape evolution, seasonal processes, climate change, spectrophotometry, glacial and periglacial processes, polar geology, and regolith properties. An Internet Web site (HiWeb) will enable anyone in the world to suggest HiRISE targets on Mars and to easily locate, view, and download HiRISE data products.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2005JE002605","issn":"01480227","usgsCitation":"McEwen, A.S., Eliason, E.M., Bergstrom, J.W., Bridges, N.T., Hansen, C.J., Delamere, W.A., Grant, J.A., Gulick, V.C., Herkenhoff, K.E., Keszthelyi, L., Kirk, R.L., Mellon, M.T., Squyres, S.W., Thomas, N., and Weitz, C.M., 2007, Mars reconnaissance orbiter's high resolution imaging science experiment (HiRISE): Journal of Geophysical Research E: Planets, v. 112, no. 5, 16 p., https://doi.org/10.1029/2005JE002605.","productDescription":"16 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":477064,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://boris.unibe.ch/25369/","text":"External Repository"},{"id":240358,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"112","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-05-17","publicationStatus":"PW","scienceBaseUri":"505a5225e4b0c8380cd6c1b6","contributors":{"authors":[{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":424993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eliason, Eric M.","contributorId":21280,"corporation":false,"usgs":true,"family":"Eliason","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":425005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergstrom, James W.","contributorId":210510,"corporation":false,"usgs":false,"family":"Bergstrom","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":6944,"text":"Ball Aerospace Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":424997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":424994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":425003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delamere, W. 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,{"id":70029950,"text":"70029950 - 2007 - Species-area curves indicate the importance of habitats' contributions to regional biodiversity","interactions":[],"lastModifiedDate":"2019-11-12T06:04:59","indexId":"70029950","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Species-area curves indicate the importance of habitats' contributions to regional biodiversity","docAbstract":"<p>We examined species-area curves, species composition and similarity (Jaccard's coefficients), and species richness in 17 vegetation types to develop a composite index of a vegetation type's contribution to regional species richness. We collected data from 1 to 1000 m2 scales in 147 nested plots in Rocky Mountain National Park, Colorado, USA to compare three species-area curve models' abilities to estimate the number of species observed in each vegetation type. The log(species)-log(area) curve had the largest adjusted coefficients of determination (r2 values) in 12 of the 17 types, followed by the species-log(area) curve with five of the highest values. When the slopes of the curves were corrected for species overlap among plots with Jaccard's coefficients, the species-log(area) curves estimated values closest to those observed. We combined information from species-area curves and measures of heterogeneity with information on the area covered by each vegetation type and found that the types making the greatest contributions to regional biodiversity covered the smallest areas. This approach may provide an accurate and relatively rapid way to rank hotspots of plant diversity within regions of interest.</p>","language":"English","publisher":"Elsevier Applied Science","doi":"10.1016/j.ecolind.2006.03.002","issn":"1470160X","usgsCitation":"Chong, G., and Stohlgren, T., 2007, Species-area curves indicate the importance of habitats' contributions to regional biodiversity: Ecological Indicators, v. 7, no. 2, p. 387-395, https://doi.org/10.1016/j.ecolind.2006.03.002.","productDescription":"9 p.","startPage":"387","endPage":"395","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":240528,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212957,"rank":9999,"type":{"id":10,"text":"Digital Object 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,{"id":70029954,"text":"70029954 - 2007 - An evaluation of freshwater mussel toxicity data in the derivation of water quality guidance and standards for copper","interactions":[],"lastModifiedDate":"2016-06-01T15:47:08","indexId":"70029954","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of freshwater mussel toxicity data in the derivation of water quality guidance and standards for copper","docAbstract":"<p>The state of Oklahoma has designated several areas as freshwater mussel sanctuaries in an attempt to provide freshwater mussel species a degree of protection and to facilitate their reproduction. We evaluated the protection afforded freshwater mussels by the U.S. Environmental Protection Agency (U.S. EPA) hardness-based 1996 ambient copper water quality criteria, the 2007 U.S. EPA water quality criteria based on the biotic ligand model and the 2005 state of Oklahoma copper water quality standards. Both the criterion maximum concentration and criterion continuous concentration were evaluated. Published acute and chronic copper toxicity data that met American Society for Testing and Materials guidance for test acceptability were obtained for exposures conducted with glochidia or juvenile freshwater mussels. We tabulated toxicity data for glochidia and juveniles to calculate 20 species mean acute values for freshwater mussels. Generally, freshwater mussel species mean acute values were similar to those of the more sensitive species included in the U.S. EPA water quality derivation database. When added to the database of genus mean acute values used in deriving 1996 copper water quality criteria, 14 freshwater mussel genus mean acute values included 10 of the lowest 15 genus mean acute values, with three mussel species having the lowest values. Chronic exposure and sublethal effects freshwater mussel data available for four species and acute to chronic ratios were used to evaluate the criterion continuous concentration. On the basis of the freshwater mussel toxicity data used in this assessment, the hardness-based 1996 U.S. EPA water quality criteria, the 2005 Oklahoma water quality standards, and the 2007 U.S. EPA water quality criteria based on the biotic ligand model might need to be revised to afford protection to freshwater mussels. ?? 2007 SETAC.</p>","language":"English","publisher":"Wiley","doi":"10.1897/06-560R.1","issn":"07307268","usgsCitation":"March, F., Dwyer, F., Augspurger, T., Ingersoll, C., Wang, N., and Mebane, C., 2007, An evaluation of freshwater mussel toxicity data in the derivation of water quality guidance and standards for copper: Environmental Toxicology and Chemistry, v. 26, no. 10, p. 2066-2074, https://doi.org/10.1897/06-560R.1.","productDescription":"9 p.","startPage":"2066","endPage":"2074","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":240589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213009,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/06-560R.1"}],"volume":"26","issue":"10","noUsgsAuthors":false,"publicationDate":"2007-10-01","publicationStatus":"PW","scienceBaseUri":"5059ea4be4b0c8380cd48771","contributors":{"authors":[{"text":"March, F.A.","contributorId":64031,"corporation":false,"usgs":true,"family":"March","given":"F.A.","email":"","affiliations":[],"preferred":false,"id":425051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwyer, F.J.","contributorId":107818,"corporation":false,"usgs":true,"family":"Dwyer","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":425055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augspurger, T.","contributorId":81844,"corporation":false,"usgs":false,"family":"Augspurger","given":"T.","email":"","affiliations":[],"preferred":false,"id":425053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, C.G. 0000-0003-4531-5949","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":56338,"corporation":false,"usgs":true,"family":"Ingersoll","given":"C.G.","affiliations":[],"preferred":false,"id":425050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, N.","contributorId":81615,"corporation":false,"usgs":true,"family":"Wang","given":"N.","email":"","affiliations":[],"preferred":false,"id":425052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mebane, C.A.","contributorId":84134,"corporation":false,"usgs":true,"family":"Mebane","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":425054,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70029955,"text":"70029955 - 2007 - Late Quaternary paleoenvironments of an ephemeral wetland in North Dakota, USA: Relative interactions of ground-water hydrology and climate change","interactions":[],"lastModifiedDate":"2012-03-12T17:21:06","indexId":"70029955","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary paleoenvironments of an ephemeral wetland in North Dakota, USA: Relative interactions of ground-water hydrology and climate change","docAbstract":"This study of fossils (pollen, plant macrofossils, stomata and fish) and sediments (lithostratigraphy and geochemistry) from the Wendel site in North Dakota, USA, emphasizes the importance of considering ground-water hydrology when deciphering paleoclimate signals from lakes in postglacial landscapes. The Wendel site was a paleolake from about 11,500 14C yr BP to 11,100 14C yr BP. Afterwards, the lake-level lowered until it became a prairie marsh by 9,300 14C yr BP and finally, at 8,500 14C yr BP, an ephemeral wetland as it is today. Meanwhile, the vegetation changed from a white spruce parkland (11,500 to 10,500 14C yr BP) to deciduous parkland, followed by grassland at 9,300 14C yr BP. The pattern and timing of these aquatic and terrestrial changes are similar to coeval kettle lake records from adjacent uplands, providing a regional aridity signal. However, two local sources of ground water were identified from the fossil and geochemical data, which mediated atmospheric inputs to the Wendel basin. First, the paleolake received water from the melting of stagnant ice buried under local till for about 900 years after glacier recession. Later, Holocene droughts probably caused the lower-elevation Wendel site to capture the ground water of up-gradient lakes. ?? 2007 Springer Science+Business Media, Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Paleolimnology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10933-006-9079-5","issn":"09212728","usgsCitation":"Yansa, C., Dean, W., and Murphy, E., 2007, Late Quaternary paleoenvironments of an ephemeral wetland in North Dakota, USA: Relative interactions of ground-water hydrology and climate change: Journal of Paleolimnology, v. 38, no. 3, p. 441-457, https://doi.org/10.1007/s10933-006-9079-5.","startPage":"441","endPage":"457","numberOfPages":"17","costCenters":[],"links":[{"id":213043,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10933-006-9079-5"},{"id":240623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-04-05","publicationStatus":"PW","scienceBaseUri":"505a4533e4b0c8380cd670fc","contributors":{"authors":[{"text":"Yansa, C.H.","contributorId":17406,"corporation":false,"usgs":true,"family":"Yansa","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":425056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dean, W.E.","contributorId":97099,"corporation":false,"usgs":true,"family":"Dean","given":"W.E.","email":"","affiliations":[],"preferred":false,"id":425058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, E.C.","contributorId":86745,"corporation":false,"usgs":true,"family":"Murphy","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":425057,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70029958,"text":"70029958 - 2007 - Geomorphic and sedimentologic evidence for the separation of Lake Superior from Lake Michigan and Huron","interactions":[],"lastModifiedDate":"2016-05-02T10:16:08","indexId":"70029958","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic and sedimentologic evidence for the separation of Lake Superior from Lake Michigan and Huron","docAbstract":"<p>A common break was recognized in four Lake Superior strandplain sequences using geomorphic and sedimentologic characteristics. Strandplains were divided into lakeward and landward sets of beach ridges using aerial photographs and topographic surveys to identify similar surficial features and core data to identify similar subsurface features. Cross-strandplain, elevation-trend changes from a lowering towards the lake in the landward set of beach ridges to a rise or reduction of slope towards the lake in the lakeward set of beach ridges indicates that the break is associated with an outlet change for Lake Superior. Correlation of this break between study sites and age model results for the strandplain sequences suggest that the outlet change occurred sometime after about 2,400 calendar years ago (after the Algoma phase). Age model results from one site (Grand Traverse Bay) suggest an alternate age closer to about 1,200 calendar years ago but age models need to be investigated further. The landward part of the strandplain was deposited when water levels were common in all three upper Great Lakes basins (Superior, Huron, and Michigan) and drained through the Port Huron/Sarnia outlet. The lakeward part was deposited after the Sault outlet started to help regulate water levels in the Lake Superior basin. The landward beach ridges are commonly better defined and continuous across the embayments, more numerous, larger in relief, wider, have greater vegetation density, and intervening swales contain more standing water and peat than the lakeward set. Changes in drainage patterns, foreshore sediment thickness and grain size help in identifying the break between sets in the strandplain sequences. Investigation of these breaks may help identify possible gaps in the record or missing ridges in strandplain sequences that may not be apparent when viewing age distributions and may justify the need for multiple age and glacial isostatic adjustment models. ?? 2006 Springer Science+Business Media B.V.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10933-006-9052-3","issn":"09212728","usgsCitation":"Johnston, J., Thompson, T., Wilcox, D., and Baedke, S., 2007, Geomorphic and sedimentologic evidence for the separation of Lake Superior from Lake Michigan and Huron: Journal of Paleolimnology, v. 37, no. 3, p. 349-364, https://doi.org/10.1007/s10933-006-9052-3.","productDescription":"16 p.","startPage":"349","endPage":"364","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":476986,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/20.500.12648/2302","text":"External Repository"},{"id":240655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213070,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10933-006-9052-3"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-12-16","publicationStatus":"PW","scienceBaseUri":"505a277fe4b0c8380cd5993d","contributors":{"authors":[{"text":"Johnston, J.W.","contributorId":67260,"corporation":false,"usgs":true,"family":"Johnston","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":425067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, T.A.","contributorId":73226,"corporation":false,"usgs":true,"family":"Thompson","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":425068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcox, D.A.","contributorId":55382,"corporation":false,"usgs":true,"family":"Wilcox","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":425066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baedke, S.J.","contributorId":14585,"corporation":false,"usgs":true,"family":"Baedke","given":"S.J.","affiliations":[],"preferred":false,"id":425065,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033643,"text":"70033643 - 2007 - Characterization of microtopography and its influence on vegetation patterns in created wetlands","interactions":[],"lastModifiedDate":"2020-09-10T19:16:52.949649","indexId":"70033643","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of microtopography and its influence on vegetation patterns in created wetlands","docAbstract":"<p><span>Created wetlands are increasingly used to mitigate wetland loss. Thus, identifying wetland creation methods that enhance ecosystem development might increase the likelihood of mitigation success. Noting that the microtopographic variation found in natural wetland settings may not commonly be found in created wetlands, this study explores relationships between induced microtopography, hydrology, and plant species richness/diversity in non-tidal freshwater wetlands, comparing results from two created wetland complexes with those from a mature reference wetland complex in northern Virginia. Elevation, steel rod oxidation depth, and species cover were measured along replicate multiscale (0.5 m-, 1 m-, 2 m-, and 4 m-diameter) tangentially conjoined circular transects in each wetland. Microtopography was surveyed using a total station and results used to derive three roughness indices: tortuosity, limiting slope, and limiting elevation difference. Steel rod oxidation depth was used to estimate water table depth, with data collected four times during the growing season for each study site. Plant species cover was estimated visually in 0.2 m</span><sup>2</sup><span>&nbsp;plots surveyed at peak growth and used to assess species richness, diversity, and wetland prevalence index. Differences in each attribute were examined among disked and non-disked created wetlands and compared to a natural wetland as a reference. Disked and non-disked created wetlands differed in microtopography, both in terms of limiting elevation difference and tortuosity. However, both were within the range of microtopography encompassed by natural wetlands. Disked wetlands supported higher plant diversity and species richness than either natural or non-disked wetlands, as well as greater within-site species assemblage variability than non-disked wetlands. Irrespective of creation method, plant diversity in created wetlands was correlated with tortuosity and limiting elevation difference, similar to correlations observed for natural wetlands. Vegetation was more hydrophytic at disked sites than at non-disked sites, and of equivalent wetland indicator status to natural sites, even though all sites appeared comparable in terms of hydrology. Results suggest that disking may enhance vegetation community development, thus better supporting the goals of wetland mitigation.</span></p>","language":"English","publisher":"Springer","doi":"10.1672/0277-5212(2007)27[1081:COMAII]2.0.CO;2","usgsCitation":"Moser, K., Ahn, C., and Noe, G.E., 2007, Characterization of microtopography and its influence on vegetation patterns in created wetlands: Wetlands, v. 27, no. 4, p. 1081-1097, https://doi.org/10.1672/0277-5212(2007)27[1081:COMAII]2.0.CO;2.","productDescription":"17 p.","startPage":"1081","endPage":"1097","numberOfPages":"17","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":242159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.62321472167969,\n              38.656560576727024\n            ],\n            [\n              -76.9097900390625,\n              38.656560576727024\n            ],\n            [\n              -76.9097900390625,\n              39.05651736286005\n            ],\n            [\n              -77.62321472167969,\n              39.05651736286005\n            ],\n            [\n              -77.62321472167969,\n              38.656560576727024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4d1e4b0c8380cd4bf42","contributors":{"authors":[{"text":"Moser, K.","contributorId":63607,"corporation":false,"usgs":true,"family":"Moser","given":"K.","email":"","affiliations":[],"preferred":false,"id":441811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahn, C.","contributorId":22589,"corporation":false,"usgs":true,"family":"Ahn","given":"C.","email":"","affiliations":[],"preferred":false,"id":441810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":441812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030116,"text":"70030116 - 2007 - A model for estimating passive integrated transponder (PIT) tag antenna efficiencies for interval-specific emigration rates","interactions":[],"lastModifiedDate":"2012-03-12T17:21:09","indexId":"70030116","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A model for estimating passive integrated transponder (PIT) tag antenna efficiencies for interval-specific emigration rates","docAbstract":"Our goal was to understand movement and its interaction with survival for populations of stream salmonids at long-term study sites in the northeastern United States by employing passive integrated transponder (PIT) tags and associated technology. Although our PIT tag antenna arrays spanned the stream channel (at most flows) and were continuously operated, we are aware that aspects of fish behavior, environmental characteristics, and electronic limitations influenced our ability to detect 100% of the emigration from our stream site. Therefore, we required antenna efficiency estimates to adjust observed emigration rates. We obtained such estimates by testing a full-scale physical model of our PIT tag antenna array in a laboratory setting. From the physical model, we developed a statistical model that we used to predict efficiency in the field. The factors most important for predicting efficiency were external radio frequency signal and tag type. For most sampling intervals, there was concordance between the predicted and observed efficiencies, which allowed us to estimate the true emigration rate for our field populations of tagged salmonids. One caveat is that the model's utility may depend on its ability to characterize external radio frequency signals accurately. Another important consideration is the trade-off between the volume of data necessary to model efficiency accurately and the difficulty of storing and manipulating large amounts of data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T06-053.1","issn":"00028487","usgsCitation":"Horton, G., Dubreuil, T., and Letcher, B., 2007, A model for estimating passive integrated transponder (PIT) tag antenna efficiencies for interval-specific emigration rates: Transactions of the American Fisheries Society, v. 136, no. 5, p. 1165-1176, https://doi.org/10.1577/T06-053.1.","startPage":"1165","endPage":"1176","numberOfPages":"12","costCenters":[],"links":[{"id":212938,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T06-053.1"},{"id":240506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"5059e469e4b0c8380cd46643","contributors":{"authors":[{"text":"Horton, G.E.","contributorId":8594,"corporation":false,"usgs":true,"family":"Horton","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":425770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubreuil, T.L.","contributorId":106697,"corporation":false,"usgs":true,"family":"Dubreuil","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":425772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, B. H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":48132,"corporation":false,"usgs":true,"family":"Letcher","given":"B.","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":425771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79484,"text":"sir20065048 - 2007 - Monitoring post-fire vegetation rehabilitation projects: A common approach for non-forested ecosystems","interactions":[],"lastModifiedDate":"2017-12-08T10:44:07","indexId":"sir20065048","displayToPublicDate":"2006-12-15T00:00:00","publicationYear":"2007","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":"2006-5048","title":"Monitoring post-fire vegetation rehabilitation projects: A common approach for non-forested ecosystems","docAbstract":"Emergency Stabilization and Rehabilitation (ES&R) and Burned Area Emergency Response (BAER) treatments are short-term, high-intensity treatments designed to mitigate the adverse effects of wildfire on public lands. The federal government expends significant resources implementing ES&R and BAER treatments after wildfires; however, recent reviews have found that existing data from monitoring and research are insufficient to evaluate the effects of these activities. The purpose of this report is to: (1) document what monitoring methods are generally used by personnel in the field; (2) describe approaches and methods for post-fire vegetation and soil monitoring documented in agency manuals; (3) determine the common elements of monitoring programs recommended in these manuals; and (4) describe a common monitoring approach to determine the effectiveness of future ES&R and BAER treatments in non-forested regions.\r\n\r\nBoth qualitative and quantitative methods to measure effectiveness of ES&R treatments are used by federal land management agencies. Quantitative methods are used in the field depending on factors such as funding, personnel, and time constraints. There are seven vegetation monitoring manuals produced by the federal government that address monitoring methods for (primarily) vegetation and soil attributes. These methods vary in their objectivity and repeatability. The most repeatable methods are point-intercept, quadrat-based density measurements, gap intercepts, and direct measurement of soil erosion. Additionally, these manuals recommend approaches for designing monitoring programs for the state of ecosystems or the effect of management actions. The elements of a defensible monitoring program applicable to ES&R and BAER projects that most of these manuals have in common are objectives, stratification, control areas, random sampling, data quality, and statistical analysis.\r\n\r\nThe effectiveness of treatments can be determined more accurately if data are gathered using an approach that incorporates these six monitoring program design elements and objectives, as well as repeatable procedures to measure cover, density, gap intercept, and soil erosion within each ecoregion and plant community. Additionally, using a common monitoring program design with comparable methods, consistently documenting results, and creating and maintaining a central database for query and reporting, will ultimately allow a determination of the effectiveness of post-fire rehabilitation activities region-wide.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065048","usgsCitation":"Wirth, T., and Pyke, D.A., 2007, Monitoring post-fire vegetation rehabilitation projects: A common approach for non-forested ecosystems: U.S. Geological Survey Scientific Investigations Report 2006-5048, vi, 36 p., https://doi.org/10.3133/sir20065048.","productDescription":"vi, 36 p.","numberOfPages":"40","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":194615,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":349854,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5048/pdf/sir20065048.pdf"},{"id":9329,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5048/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6991b1","contributors":{"authors":[{"text":"Wirth, Troy A.","contributorId":27837,"corporation":false,"usgs":true,"family":"Wirth","given":"Troy A.","affiliations":[],"preferred":false,"id":290022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":290021,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":77407,"text":"sir20065101B - 2007 - Chapter B. Physical, Chemical, and Biological Responses of Streams to Increasing Watershed Urbanization in the Piedmont Ecoregion of Georgia and Alabama, 2003","interactions":[],"lastModifiedDate":"2017-01-12T10:15:31","indexId":"sir20065101B","displayToPublicDate":"2006-07-28T00:00:00","publicationYear":"2007","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":"2006-5101","chapter":"B","title":"Chapter B. Physical, Chemical, and Biological Responses of Streams to Increasing Watershed Urbanization in the Piedmont Ecoregion of Georgia and Alabama, 2003","docAbstract":"As part of the U.S. Geological Survey National Water-Quality Assessment Program?s effort to assess the physical, chemical, and biological responses of streams to urbanization, 30 wadable streams were sampled near Atlanta, Ga., during 2002?2003. Watersheds were selected to minimize natural factors such as geology, altitude, and climate while representing a range of urban development. A multimetric urban intensity index was calculated using watershed land use, land cover, infrastructure, and socioeconomic variables that are highly correlated with population density. The index was used to select sites along a gradient from low to high urban intensity. Response variables measured include stream hydrology and water temperature, instream habitat, field properties (pH, conductivity, dissolved oxygen, turbidity), nutrients, pesticides, suspended sediment, sulfate, chloride, Escherichia coli (E. coli) concentrations, and characterization of algal, invertebrate and fish communities. In addition, semipermeablemembrane devices (SPMDs)?passive samplers that concentrate hydrophobic organic contaminants such as polycyclicaromatic hydrocarbons (PAHs)?were used to evaluate water-quality conditions during the 4 weeks prior to biological sampling. Changes in physical, chemical, and biological conditions were evaluated using both nonparametric correlation analysis and nonmetric multidimensional scaling (MDS) ordinations and associated comparisons of dataset similarity matrices.\r\n\r\nMany of the commonly reported effects of watershed urbanization on streams were observed in this study, such as altered hydrology and increases in some chemical constituent levels. Analysis of water-chemistry data showed that specific conductance, chloride, sulfate, and pesticides increased as urbanization increased. Nutrient concentrations were not directly correlated to increases in development, but were inversely correlated to percent forest in the watershed. Analyses of SPMD-derived data showed that bioassays and certain chemical constituents such as pyrene and benzophenanthrene, both PAHs found in coal tar, were strongly correlated with measures of watershed urbanization. Hydrologic variability metrics indicated that as urban development increased, streams became flashier, with characteristic high flows having shorter duration. The hydrologic effects associated with urbanization were greatest during the fall and least apparent during the winter. No correlations were observed between increasing urbanization and stream temperature or changes in stream habitat.\r\n\r\nAlgal, invertebrate, and fish communities exhibited statistically significant changes as watersheds became increasingly urban, with the strongest responses observed in the invertebrate community followed by fishes, then algal diatom communities. Invertebrate communities were the most responsive to increasing urbanization with Ephemeroptera, Plecoptera, and Tricoptera taxa, especially Plecoptera (stoneflies) responding negatively and most strongly to increasing urbanization. Invertebrate communities were influenced more significantly by water quality, although significant responses to altered hydrology also were noted. In terms of the fish community, the percentage of cyprinids present in the stream was the only Index of Biotic Integrity metric that responded negatively to increases in watershed urbanization. Fish community response to urbanization was intermediate relative to algae and invertebrates with respect to significant metric responses as well as the overall community response to increasing urbanization. Measures of hydrologic variability were the most influential environmental variables affecting the algal community.\r\n\r\nAlthough sites were originally chosen to represent a gradient of increasing urbanization, a cluster analysis performed on the component metrics of the urban index categorized sites into four distinct groups. Multivariate analysis based on nonmetric MDS and related analyses of data ma","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter B of Effects of Urbanization on Stream Ecosystems in Six Metropolitan Areas of the United States","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20065101B","usgsCitation":"Gregory, M.B., and Calhoun, D.L., 2007, Chapter B. Physical, Chemical, and Biological Responses of Streams to Increasing Watershed Urbanization in the Piedmont Ecoregion of Georgia and Alabama, 2003: U.S. Geological Survey Scientific Investigations Report 2006-5101, xii, 104 p., https://doi.org/10.3133/sir20065101B.","productDescription":"xii, 104 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":120970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5101_b.jpg"},{"id":10779,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5101B/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.75,32.5 ], [ -85.75,34.25 ], [ -83.25,34.25 ], [ -83.25,32.5 ], [ -85.75,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e58e1","contributors":{"authors":[{"text":"Gregory, M. Brian","contributorId":105772,"corporation":false,"usgs":true,"family":"Gregory","given":"M.","email":"","middleInitial":"Brian","affiliations":[],"preferred":false,"id":288573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":288572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76832,"text":"mf2414 - 2007 - Geology and Mineral Resources of the East Mojave National Scenic Area, San Bernardino County, California","interactions":[],"lastModifiedDate":"2018-08-28T14:48:43","indexId":"mf2414","displayToPublicDate":"2006-06-19T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2414","title":"Geology and Mineral Resources of the East Mojave National Scenic Area, San Bernardino County, California","docAbstract":"From our evaluations that largely used model-based criteria, we conclude that much of the East Mojave National Scenic Area (EMNSA) contains significant indications of epigenetic mineralization of various types. Economically significant concentrations of many metals may possibly remain to be discovered in many parts of the EMNSA (see also Wetzel and others, 1992). We have discussed specific types of metallic deposits that are known to be present in the EMNSA. Some mountain ranges that have widespread occurrences are the Providence Mountains, Clark Mountain Range, Ivanpah Mountains, and New York Mountains; the area of Hackberry Mountain is included in a tract that is judged to be favorable for the discovery of epithermal, volcanic-hosted gold deposits (pl. 2). These ranges make up a broad, roughly north-south-trending region in the central part of the EMNSA. Much less endowed with known occurrences of all of the various types of deposits considered above are the Granite Mountains, the central parts of the Piute Range, the Fenner Valley area, the general area of Cima Dome, the Cima volcanic field, and areas west to Soda Lake. We have attempted to make some judgments concerning the gravel-covered areas in the EMNSA (pl. 3), including the areal extent of bedrock apparently covered only by thin veneers of gravel. But few data are available to us for the overwhelming bulk of the covered areas. The presence of any mineralization, the type of mineralization, and the extent and intensity of mineralization in the covered areas is essentially unknown. The likelihood is high, however, that those areas in the EMNSA covered only by a thin cap of gravels could host mineralization similar to that known in the adjoining mountain ranges. Most buried epigenetic-mineral deposits do not respond to standard geophysical methods, particularly at the coarse spacing of the data-collection points available for our evaluation.\r\nRestricting judgments concerning the presence of undiscovered metal resources in the EMNSA only to currently known types of deposits and to regionally representative tonnages for such deposits would undoubtedly yield small estimates for volumes of many metals that might be exploited.\r\nMetals from most newly discovered, base- and ferrous-metal deposits of the types presently known in the EMNSA probably would be insignificant from the standpoint of national needs. For example, copper from a newly discovered skarn deposit in the EMNSA would have roughly a 25 percent chance of being in excess of approximately 10,000 tonnes contained Cu, if the grade-and-tonnage distribution curves of Jones and Menzie (1986b) for copper skarns are applicable to copper skarn in the EMNSA. Most copper in the United States is produced in the Southwest from much larger open-pit operations than those associated with the typical copper skarn; the former operations exploit large-tonnage porphyry-type systems. Historically, the EMNSA has been the site of minor production of many metals from a large number of sites. Since 1985, however, a small number of sites in the EMNSA whose gold production and reserves are much greater than that of the preceding discoveries have been developed (see U.S. Bureau of Mines, 1990a).\r\nNonetheless, widespread distribution of numerous types of deposits (including copper skarn, lead-zinc skarn, tin-tungsten skarn, polymetallic vein, gold-silver quartz-pyrite vein, low-fluorine porphyry molybdenum, gold breccia pipe, and volcanic-hosted gold) that are petrogenetically associated with igneous rock in many parts of the EMNSA is indicative of a metallogenic environment that may be the site of future discoveries of mineral-deposit types that are not now recognized by the exploration community. The science, art, and, yes, even luck of exploration procedures continually evolve, and this evolution is one of the most important aspects of currently employed methods of exploration (Bailly, 1981; Hutchinson and Grauch, 1991).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2414","usgsCitation":"2007, Geology and Mineral Resources of the East Mojave National Scenic Area, San Bernardino County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2414, 6 Plates: Plate 1 - 54 x 38 inches, Plates 2 through 6 - each 48 x 34 inches, https://doi.org/10.3133/mf2414.","productDescription":"6 Plates: Plate 1 - 54 x 38 inches, Plates 2 through 6 - each 48 x 34 inches","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":190517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11586,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2007/2414/","linkFileType":{"id":5,"text":"html"}}],"scale":"25000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,34.666666666666664 ], [ -116,35.583333333333336 ], [ -114.91666666666667,35.583333333333336 ], [ -114.91666666666667,34.666666666666664 ], [ -116,34.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686485","contributors":{"compilers":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":743688,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743689,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Nielsen, Jane E.","contributorId":207390,"corporation":false,"usgs":false,"family":"Nielsen","given":"Jane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743690,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Wilshire, Howard G.","contributorId":68346,"corporation":false,"usgs":true,"family":"Wilshire","given":"Howard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":743691,"contributorType":{"id":3,"text":"Compilers"},"rank":4},{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743692,"contributorType":{"id":3,"text":"Compilers"},"rank":5},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743693,"contributorType":{"id":3,"text":"Compilers"},"rank":6},{"text":"Bishop, Kenneth R.","contributorId":51744,"corporation":false,"usgs":true,"family":"Bishop","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":743694,"contributorType":{"id":3,"text":"Compilers"},"rank":7},{"text":"Dohrenwend, John C.","contributorId":90283,"corporation":false,"usgs":true,"family":"Dohrenwend","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":743695,"contributorType":{"id":3,"text":"Compilers"},"rank":8},{"text":"McKittrick, Mary Anne","contributorId":190699,"corporation":false,"usgs":false,"family":"McKittrick","given":"Mary","email":"","middleInitial":"Anne","affiliations":[],"preferred":false,"id":743696,"contributorType":{"id":3,"text":"Compilers"},"rank":9},{"text":"Mariano, John","contributorId":69949,"corporation":false,"usgs":true,"family":"Mariano","given":"John","email":"","affiliations":[],"preferred":false,"id":743697,"contributorType":{"id":3,"text":"Compilers"},"rank":10},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743698,"contributorType":{"id":3,"text":"Compilers"},"rank":11}],"editors":[{"text":"Theodore, Ted G.","contributorId":57840,"corporation":false,"usgs":true,"family":"Theodore","given":"Ted G.","affiliations":[],"preferred":false,"id":743687,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":74513,"text":"fs20053066 - 2007 - USGS Fire Science: Fire Danger Monitoring and Forecasting","interactions":[],"lastModifiedDate":"2012-03-16T17:16:06","indexId":"fs20053066","displayToPublicDate":"2006-02-19T00:00:00","publicationYear":"2007","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":"2005-3066","title":"USGS Fire Science: Fire Danger Monitoring and Forecasting","docAbstract":"The U.S. Geological Survey (USGS) has advanced the use of moderate-resolution satellite data in a decision support system for assessing national fire potential. Weekly updated digital images of the Normalized Difference Vegetation Index (NDVI), based on data acquired at 1-kilometer (km) resolution (about 0.6 mi), have been used for the past 19 years as a means to assess live vegetation conditions for the purpose of rating fire danger. These images, produced and monitored through the growing season, portray the approximate time of greenup and senescence, as well as the relative amount and condition of growing plants.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20053066","usgsCitation":"Eidenshink, J., 2007, USGS Fire Science: Fire Danger Monitoring and Forecasting: U.S. Geological Survey Fact Sheet 2005-3066, 1 p., https://doi.org/10.3133/fs20053066.","productDescription":"1 p.","numberOfPages":"1","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2005_3066.jpg"},{"id":246711,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2005/3066/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db61194c","contributors":{"authors":[{"text":"Eidenshink, Jeff","contributorId":95156,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeff","affiliations":[],"preferred":false,"id":286642,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":53176,"text":"pp1651 - 2007 - Integrated investigations of environmental effects of historical mining in the Animas River Watershed, San Juan County, Colorado","interactions":[],"lastModifiedDate":"2020-01-27T06:38:20","indexId":"pp1651","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1651","title":"Integrated investigations of environmental effects of historical mining in the Animas River Watershed, San Juan County, Colorado","docAbstract":"This publication comprises a Volume Contents of chapters (listed below) and a CD-ROM of data (contents shown in column at right).\r\n\r\nThe Animas River watershed in southwest Colorado is one of many watersheds in the western United States where historical mining has left a legacy of acid mine drainage and elevated concentrations of potentially toxic trace elements in surface streams. U.S. Geological Survey scientists have completed a major assessment of the environmental effects of historical mining in the Animas River watershed focusing on the area upstream of Silverton, Colo.?the Mineral Creek, Cement Creek, and upper Animas River basins. The study demonstrated how the watershed approach can be used to assess and rank mining-affected sites for possible cleanup. The study was conducted in collaboration with State and Federal land-management agencies and regional stakeholders groups.\r\n\r\nThis book is available for purchase at Information Services, U.S. Geological Survey (1-888-ASK-USGS).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1651","collaboration":"Prepared in cooperation with the USDA Forest Service, U.S. Bureau of Land Management, and U.S. Environmental Protection Agency","usgsCitation":"2007, Integrated investigations of environmental effects of historical mining in the Animas River Watershed, San Juan County, Colorado (Version 1.0): U.S. Geological Survey Professional Paper 1651, 1096 p., https://doi.org/10.3133/pp1651.","productDescription":"1096 p.","additionalOnlineFiles":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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,{"id":79772,"text":"mineral2007 - 2007 - Mineral Commodity Summaries 2007","interactions":[],"lastModifiedDate":"2013-02-04T10:58:00","indexId":"mineral2007","displayToPublicDate":"1990-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007","title":"Mineral Commodity Summaries 2007","docAbstract":"Published on an annual basis, this report is the earliest Government publication to furnish estimates covering nonfuel mineral industry data. Data sheets contain information on the domestic industry structure, Government programs, tariffs, and 5-year salient statistics for over 90 individual minerals and materials.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/mineral2007","usgsCitation":"Mineral Commodity Summaries 2007; 2007; MINERAL; 2007; U.S. Geological Survey","productDescription":"198 p; 4 Appendixes (6 p.); Individual Commodity Data Sheets; Available Online, Printed, and on CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":9457,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2007/mcs2007.pdf","size":"1704","linkFileType":{"id":1,"text":"pdf"}},{"id":194479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/mineral_2007.jpg"},{"id":9456,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db63575c","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534855,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79224,"text":"sir20065055 - 2006 - Use of an ADCP to compute suspended-sediment discharge in the tidal Hudson River, New York","interactions":[],"lastModifiedDate":"2024-07-29T23:03:28.353944","indexId":"sir20065055","displayToPublicDate":"2024-07-26T00:00:00","publicationYear":"2006","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":"2006-5055","displayTitle":"Use of an ADCP To Compute Suspended-Sediment Discharge in the Tidal Hudson River, New York","title":"Use of an ADCP to compute suspended-sediment discharge in the tidal Hudson River, New York","docAbstract":"Acoustic Doppler current profilers (ADCPs) can provide data needed for computation of suspended-sediment discharge in complex river systems, such as tidal rivers, in which conventional methods of collecting time-series data on suspended-sediment concentration (SSC) and water discharge are not feasible. Although ADCPs are not designed to measure SSC, ADCP data can be used as a surrogate under certain environmental conditions. However, the software for such computation is limited, and considerable post-processing is needed to correct and normalize ADCP data for this use. This report documents the sampling design and computational procedure used to calibrate ADCP measures of echo intensity to SSC and water velocity to discharge in the computation of suspended-sediment discharge at the study site on the Hudson River near Poughkeepsie, New York. The methods and procedures described may prove useful to others doing similar work in different locations; however, they are specific to this study site and may have limited applicability elsewhere.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065055","usgsCitation":"Wall, G.R., Nystrom, E.A., and Litten, Simon, 2006, Use of an ADCP to compute suspended-sediment discharge in the tidal Hudson River, New York (version 1.2, July 2024): U.S. Geological Survey Scientific Investigations Report 2006-5055, 16 p., https://doi.org/10.3133/sir20065055.","productDescription":"v, 16 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":431466,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2006/5055/versionHist.txt","size":"920 B","linkFileType":{"id":2,"text":"txt"}},{"id":431465,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5055/pdf/sir20065055.pdf","size":"1.27 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":8680,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5055/index.html","linkFileType":{"id":5,"text":"html"}},{"id":410027,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78109.htm","linkFileType":{"id":5,"text":"html"}},{"id":194531,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2006/5055/images/coverthb.jpg"}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.5,\n              44\n            ],\n            [\n              -75,\n              44\n            ],\n            [\n              -75,\n              41\n            ],\n            [\n              -73.5,\n              41\n            ],\n            [\n              -73.5,\n              44\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: 2006; Version 1.1: 2008; Version 1.2: July 2024","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-york-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-york-water-science-center\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Procedure for Computation of Suspended-Sediment Discharge</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2006-07-19","revisedDate":"2024-07-29","noUsgsAuthors":false,"publicationDate":"2006-07-19","publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db604da5","contributors":{"authors":[{"text":"Wall, Gary R. grwall@usgs.gov","contributorId":915,"corporation":false,"usgs":true,"family":"Wall","given":"Gary","email":"grwall@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litten, Simon","contributorId":75238,"corporation":false,"usgs":true,"family":"Litten","given":"Simon","email":"","affiliations":[],"preferred":false,"id":289418,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":75363,"text":"sir20055292 - 2006 - Analysis of mid- and high-stage conditions for the Peconic River at the eastern boundary of Brookhaven National Laboratory, Suffolk County, New York","interactions":[],"lastModifiedDate":"2021-04-28T12:17:48.446099","indexId":"sir20055292","displayToPublicDate":"2021-04-27T13:55:00","publicationYear":"2006","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":"2005-5292","displayTitle":"Analysis of Mid- and High-Stage Conditions for the Peconic River at the Eastern Boundary of Brookhaven National Laboratory, Suffolk County, New York","title":"Analysis of mid- and high-stage conditions for the Peconic River at the eastern boundary of Brookhaven National Laboratory, Suffolk County, New York","docAbstract":"<p>Brookhaven National Laboratory (BNL) has historically discharged sewage treatment plant (STP) effluent to the Peconic River, which runs through the BNL site in Suffolk County, N.Y. This effluent discharge has averaged about 700,000 gallons per day (about 1.1 cubic feet per second [ft<sup>3</sup>/s]) since 1962 and led to contamination of streambed sediments by radioactive and hazardous constituents. Large sections of the stream channel near BNL are dry during periods of relatively low water-table altitude referred to as low-stage conditions. During mid-stage conditions, the water table intersects the streambed and base flow commences and increases as the water table rises to the tops of the streambanks. Areas adjacent to the stream become flooded during high-stage conditions as the water table rises above the streambanks. Information on the long-term (1943-2003) percentages of time that discharges at two nearby streamflow-gaging stations exceeded thresholds associated with mid- and high-stage conditions is needed to provide a range of estimates of the prevalence and seasonal variability of these conditions during the same years for streamflow-gaging station HQ on the Peconic River at the eastern boundary of BNL. Analysis and correlation of discharge data from the three streamflow-gaging stations—BNL’s station HQ and the U.S. Geological Survey stations on the Peconic River at Riverhead, N.Y., and Carmans River at Yaphank, N.Y.—were performed to extend the 1995-2003 period of record for station HQ.</p><p>Low-stage conditions occur when there is no flow at station HQ and, therefore, the start-of-flow for the Peconic River is downstream of BNL property. Mid-stage conditions occur when there is flow at station HQ but its daily mean value does not exceed 4.2 ft<sup>3</sup>/s; high-stage conditions occur when this discharge exceeds 4.2 ft<sup>3</sup>/s. Daily mean streamflows at station HQ were associated with low-stage conditions most of the time during 1995-2003 for all flow durations. Low-stage conditions predominated during January, March, and July through December of these years, whereas mid-stage conditions prevailed during parts of February and April through June. Mid-stage conditions generally appeared throughout the year during 1995-2003, except for mid-October, during which only low-stage conditions were observed. High-stage conditions were attained the least amount of time for all flow durations, and appeared only during parts of March through July and December of these years.</p><p>The percentages of time during 1943-2003 that daily mean streamflows at the Riverhead and Yaphank stations were associated with low-, mid-, and high-stage conditions provide a range of estimates of the amounts of time that these conditions occurred during these years at station HQ. Daily mean streamflows were associated with low-stage conditions most of the time during 1943-2003 for durations of 30 and 60 days; with mid-stage conditions most of the time for durations of 1, 3, and 7 days; and with either of these conditions for a duration of 14 days. High-stage conditions were attained the least amount of time during these years for all durations, except perhaps that of 1 day, for which low-stage conditions could have occurred the least amount of time. Mid-stage conditions predominated during January through early March, June through early July, and late November through December of these years. These conditions typically appeared throughout the year during 1943-2003, and occurred most often during late February. High-stage conditions also generally appeared throughout the year, except perhaps for a few days during early September of these years, and occurred most often during April. These results indicate that streamflows observed during 1943-2003 at the Riverhead and Yaphank stations—used to estimate a longer record for station HQ—were considerably higher than those observed during 1995-2003 at the three stations, and provide information that can be used in future studies to better understand the long-term capacity of streams such as the Peconic River near BNL to supply continuous flow, flood adjacent low-lying areas, and sustain aquatic habitats.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055292","collaboration":"Prepared in cooperation with the Brookhaven National Laboratory and U.S. Department of Energy","usgsCitation":"Schubert, C., Sullivan, T.M., and Medeiros, W.H., 2006, Analysis of mid- and high-stage conditions for the Peconic River at the eastern boundary of Brookhaven National Laboratory, Suffolk County, New York: U.S. Geological Survey Scientific Investigations Report 2005-5292, iv, 18 p., https://doi.org/10.3133/sir20055292.","productDescription":"iv, 18 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":7268,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2005/5292/sir20055292.pdf","text":"Report","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2005-5292"},{"id":121011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2005/5292/coverthb.jpg"}],"country":"United States","state":"New York","county":"Suffolk County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.4490966796875,\n              40.68063802521456\n            ],\n            [\n              -71.6912841796875,\n              40.68063802521456\n            ],\n            [\n              -71.6912841796875,\n              41.12902134749507\n            ],\n            [\n              -73.4490966796875,\n              41.12902134749507\n            ],\n            [\n              -73.4490966796875,\n              40.68063802521456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Analysis of Mid- and High-Stage Conditions for the Peconic River at the Eastern Boundary of Brookhaven National Laboratory</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db6802ae","contributors":{"authors":[{"text":"Schubert, Christopher 0000-0003-0705-3933 schubert@usgs.gov","orcid":"https://orcid.org/0000-0003-0705-3933","contributorId":1243,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":286861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Terrence M.","contributorId":108204,"corporation":false,"usgs":true,"family":"Sullivan","given":"Terrence","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medeiros, William H.","contributorId":106989,"corporation":false,"usgs":true,"family":"Medeiros","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":286862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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Dissolved oxygen"},"lastModifiedDate":"2020-10-23T15:43:27.788504","indexId":"twri09A6.2","displayToPublicDate":"2020-10-23T11:45:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.2","displayTitle":"Chapter A6. Section 6.2. Dissolved Oxygen","title":"Chapter A6. Section 6.2. Dissolved oxygen","docAbstract":"<p>Accurate data for the concentration of dissolved oxygen in surface and ground waters are essential for documenting changes in environmental water resources that result from natural phenomena and human activities. Dissolved oxygen is necessary in aquatic systems for the survival and growth of many aquatic organisms and is used as an indicator of the health of surface-water bodies. This section of the National Field Manual (NFM) includes U.S. Geological Survey (USGS) guidance and protocols for four methods to determine dissolved-oxygen concentrations: the amperometric, luminescent-sensor, spectrophotometric, and iodometric (Winkler) methods. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A6.2","usgsCitation":"Rounds, S.A., Wilde, F., and Ritz, G.F., 2006, Chapter A6. Section 6.2. Dissolved oxygen (Version 2.1): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A6.2, 48 p., https://doi.org/10.3133/twri09A6.2.","productDescription":"48 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":363703,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":190965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a62/coverthb.jpg"},{"id":363006,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a62/twri9a6_Section6.2.pdf","text":"Report April 1998","size":"126 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Original Report"},{"id":363009,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a62/twri9a6_6.2_v2.1.9102013.pdf","text":"Report June 2006","size":"360 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Version 2.1"},{"id":9804,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a62/twri9a6_6.2_ver3.pdf","text":"Report","size":"688 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9A6.2"}],"edition":"Version 2.1","contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a></p>","tableOfContents":"<ul><li>6.2 Dissolved Oxygen</li><li>Selected References</li><li>Acknowledgments</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e59ae","contributors":{"authors":[{"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":761054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":1727,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska D.","email":"fwilde@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":761055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritz, George F. gfritz@usgs.gov","contributorId":1807,"corporation":false,"usgs":true,"family":"Ritz","given":"George","email":"gfritz@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":761056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79488,"text":"ofr20061354 - 2006 - Mapping vegetation communities in Ozark National Scenic Riverways: final technical report to the National Park Service","interactions":[],"lastModifiedDate":"2020-07-03T15:52:11.08157","indexId":"ofr20061354","displayToPublicDate":"2020-07-01T14:40:00","publicationYear":"2006","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":"2006-1354","displayTitle":"Mapping Vegetation Communities in Ozark National Scenic Riverways: Final Technical Report to the National Park Service","title":"Mapping vegetation communities in Ozark National Scenic Riverways: final technical report to the National Park Service","docAbstract":"Vegetation communities were mapped at two levels in Ozark National Scenic Riverways (ONSR) usign a hybrid combination of statistical methods and photointerpretation.  The primary map includes 49 cover classes, including 24 cleasses that relate to vegetation associations currenly described by the United States National Vegetation Classification Standard (USNVC: The Nature Conservancy, 1994a).  The remaining types include cultural features, ruderal communities on abandoned agricultural lands, and non-vegetated classes.  Overall map classification accuarcy is 63 percent.  The secondary mapping level aggregates communities with similar appearance and ecologically related associations into Community Types.  The resultant 33-class Community Type map has an overall classification accuracy of 77 percent and identified groups of communities based on resource management goals within the park.  Important additional products include 1) a general probability map for all vegetation associations, which can be used to assess final classification certainty, and 2) individual probability maps for each association, which can be used to identify areas that have a high likelihood of supporting a given type, beyond where that type was identified in the final map products.  Other secondary map products include data layers derived from primary color-infrared imagery, secondary imagery data and digital elevation models. A field key and photo guide to associations and complete community descriptions were produced, along with a photo guide of fuel conditions.  Wildland fuels data were used to generate a fuels map based upon Anderson's fuels models (1982).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061354","collaboration":"Prepared in cooperation with The University of Missouri-Columbia, The Missouri Department of Conservation, and NatureServe","usgsCitation":"Chastain, R.A., Struckhoff, M.A., Grabner, K.W., Stroh, E.D., He, H., Larsen, D.R., Nigh, T.A., and Drake, J., 2006, Mapping vegetation communities in Ozark National Scenic Riverways: final technical report to the National Park Service: U.S. Geological Survey Open-File Report 2006&mdash;1354, 90 p., https://doi.org/10.3133/ofr20061354.","productDescription":"Report: xxviii; 62 p.; 4 Appendixes","numberOfPages":"178","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":9031,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2006/1354/ofr20061354_app17.pdf","text":"Appendix 17","size":"152 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Field Key to ONSR Vegetation Communities"},{"id":9032,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2006/1354/ofr20061354_app18.pdf","text":"Appendix 18","size":"4.42 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- ONSR USNVC Community Fuel Loading Photo Key"},{"id":190720,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2006/1354/coverthb.jpg"},{"id":9029,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2006/1354/ofr20061354_app16.pdf","text":"Appendix 16","size":"1.14 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- ONSR Altered Community Descriptions"},{"id":9028,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1354/ofr20061354.pdf","text":"Report","size":"5.79 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2006-1354"},{"id":9030,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2006/1354/ofr20061354_app15.pdf","text":"Appendix 15","size":"3.17 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- ONSR USNVC Natural Community Descriptions"}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark National Scenic Waterways","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.28515625,\n              36.47872381162464\n            ],\n            [\n              -89.912109375,\n              36.47872381162464\n            ],\n            [\n              -89.912109375,\n              38.28993659801203\n            ],\n            [\n              -92.28515625,\n              38.28993659801203\n            ],\n            [\n              -92.28515625,\n              36.47872381162464\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/cerc\" data-mce-href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a><br>U.S. Geological Survey<br>4200 New Haven Road<br>Columbia, MO 65201</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Contacts</li><li>Acknowledgments</li><li>Contents</li><li>List of Tables</li><li>List of Figures</li><li>List of Appendices</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2006-12-15","noUsgsAuthors":false,"publicationDate":"2006-12-15","publicationStatus":"PW","scienceBaseUri":"4f4e4b0ae4b07f02db69d267","contributors":{"authors":[{"text":"Chastain, Robert A.","contributorId":84853,"corporation":false,"usgs":true,"family":"Chastain","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":290037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":290031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabner, Keith W. kgrabner@usgs.gov","contributorId":1747,"corporation":false,"usgs":true,"family":"Grabner","given":"Keith","email":"kgrabner@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":290030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stroh, Esther D. 0000-0003-4291-4647 estroh@usgs.gov","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":2813,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","email":"estroh@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":290032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"He, Hong","contributorId":16931,"corporation":false,"usgs":true,"family":"He","given":"Hong","affiliations":[],"preferred":false,"id":290033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larsen, David R.","contributorId":82403,"corporation":false,"usgs":true,"family":"Larsen","given":"David R.","affiliations":[],"preferred":false,"id":290036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nigh, Timothy A.","contributorId":35402,"corporation":false,"usgs":true,"family":"Nigh","given":"Timothy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":290034,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drake, Jim","contributorId":35403,"corporation":false,"usgs":true,"family":"Drake","given":"Jim","email":"","affiliations":[],"preferred":false,"id":290035,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":79121,"text":"ofr97470L - 2006 - Map showing geology, oil and gas fields, and geologic provinces of the Gulf of Mexico region","interactions":[],"lastModifiedDate":"2024-01-23T15:10:21.684294","indexId":"ofr97470L","displayToPublicDate":"2019-10-22T12:40:00","publicationYear":"2006","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":"97-470","chapter":"L","displayTitle":"Map Showing Geology, Oil and Gas Fields, and Geologic Provinces of the Gulf of Mexico Region","title":"Map showing geology, oil and gas fields, and geologic provinces of the Gulf of Mexico region","docAbstract":"<p>This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey’s World Energy Project, available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Geologic provinces were created for ranking purposes in the World Petroleum Assessment 2000 (U.S. Geological Survey World Energy Assessment Team, 2000). A modified subset of these provinces are shown on the map, based on new bathymetric data and geologic knowledge. Geologic province boundaries are not intended to be taken for country boundaries or exclusive economic zone (EEZ) boundaries. The USGS World Petroleum Assessment 2000 - Description and Results can be found online at: <a href=\"https://pubs.usgs.gov/dds/dds-060/\" data-mce-href=\"https://pubs.usgs.gov/dds/dds-060/\">http://pubs.usgs.gov/dds/dds-060</a>. Oil and gas fields are represented by a single geographic point in the center of the field and displays field type (oil or gas) only. The map includes three surface geology datasets, which were modified for display purposes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr97470L","usgsCitation":"French, C.D. and Schenk, C.J., 2006, Map showing geology, oil and gas fields, and geologic provinces of the Gulf of Mexico region: U.S. Geological Survey Open-File Report 97-470-L, https://doi.org/10.3133/ofr97470L.","productDescription":"1 Plate: 36 x 60 inches; Database; Metadata: ReadMe","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":194449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1997/ofr-97-470/OF97-470L/coverthb.jpg"},{"id":368494,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1997/ofr-97-470/OF97-470L/ofr97470L.pdf","text":"Map","size":"8.56 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":8564,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/1997/ofr-97-470/OF97-470L/database.zip","size":"10.0 KB","linkFileType":{"id":6,"text":"zip"}},{"id":110672,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77647.htm","linkFileType":{"id":5,"text":"html"}},{"id":368493,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/1997/ofr-97-470/OF97-470L/metadata.zip","size":"56.5 KB","linkFileType":{"id":6,"text":"zip"}},{"id":8565,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/1997/ofr-97-470/OF97-470L/readme.txt","size":"11.7 KB","linkFileType":{"id":2,"text":"txt"}}],"otherGeospatial":"Gulf of Mexico region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100,\n              35\n            ],\n            [\n              -100,\n              15\n            ],\n            [\n              -80,\n              15\n            ],\n            [\n              -80,\n              35\n            ],\n            [\n              -100,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2006-09-07","noUsgsAuthors":false,"publicationDate":"2006-09-07","publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a5fae","contributors":{"compilers":[{"text":"French, Christopher D.","contributorId":8338,"corporation":false,"usgs":true,"family":"French","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":744004,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":744005,"contributorType":{"id":3,"text":"Compilers"},"rank":2}]}}
,{"id":70196420,"text":"wdrPA051 - 2006 - Water Resources Data, Pennsylvania, Water Year 2005, Volume 1. Delaware River Basin","interactions":[],"lastModifiedDate":"2018-05-29T13:06:21","indexId":"wdrPA051","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"PA-05-1","title":"Water Resources Data, Pennsylvania, Water Year 2005, Volume 1. Delaware River Basin","docAbstract":"<p>Water resources data for the 2005 water year for Pennsylvania consist of records of discharge and water quality of streams; contents and elevations of lakes and reservoirs; and water levels and water quality of ground-water wells. This report, Volume 1 contains (1) discharge records for 75 continuous-record streamflow-gaging stations, 5 partial-record stations, 41 special-study and miscellaneous streamflow sites; (2) elevation and contents records for 13 lakes and reservoirs, and water-quality records for 5 lakes and reservoirs; (3) water-quality records for 24 gaging stations and 10 ungaged streamsites; (4) water-quality records for 73 special-study stations; (5) water-level records for 52 network observation wells; and (6) water-quality analyses of ground water from 42 ground-water wells. Site locations are shown in figures 6-19. Additional water data collected at various sites not involved in the systematic data-collection program are also presented. These data together with the data in Volumes 2 and 3, represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating State, local, and Federal agencies in Pennsylvania.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdrPA051","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, the Philadelphia District of the U.S. Army Corps of Engineers, the Chester County Water Resources Authority, and with other State, municipal, and Federal agencies","usgsCitation":"Durlin, R., Schaffstall, W., and Beaver, M., 2006, Water Resources Data, Pennsylvania, Water Year 2005, Volume 1. Delaware River Basin: U.S. Geological Survey Water Data Report PA-05-1, xx, 575 p., https://doi.org/10.3133/wdrPA051.","productDescription":"xx, 575 p.","numberOfPages":"594","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":353204,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-del-05-1/coverthb.jpg"},{"id":353205,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-del-05-1/wdr-del-2005-1.html","linkFileType":{"id":5,"text":"html"},"description":"WDR PA-05-1"}],"contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">Pennsylvania Water Science Center</a><br> U.S. Geological Survey <br> 215 Limekiln Road <br> New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Preface</li><li>List of surface-water stations, in downstream order, for which records are published in this volume</li><li>List of ground-water wells, by county, for which records are published in this volume</li><li>List of discontinued continuous-record surface-water discharge stations</li><li>List of discontinued continuous-record surface-water-quality stations</li><li>Pennsylvania District office locations and addresses</li><li>Introduction</li><li>Cooperation</li><li>Summary of hydrologic conditions</li><li>Special networks and programs</li><li>Explanation of the record</li><li>Explanation of stage- and water-discharge records</li><li>Explanation of water-quality records</li><li>Explanation of ground-water-level records</li><li>Ground-water-quality data</li><li>Access to USGS Water Data</li><li>Definition of terms</li><li>Techniques of Waer-Resources Investigations of the U.S. Geological Survey</li><li>Special Notes, Remark Codes, and Selected Constituent Definition</li><li>Station records, surface water</li><li>Special Notes, Remark Codes, and Selected Constituent Definitions</li><li>Station records, ground water</li><li>Index</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b157a1ce4b092d9651e1fa1","contributors":{"authors":[{"text":"Durlin, R.R.","contributorId":67116,"corporation":false,"usgs":true,"family":"Durlin","given":"R.R.","affiliations":[],"preferred":false,"id":732860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffstall, W.P.","contributorId":20010,"corporation":false,"usgs":true,"family":"Schaffstall","given":"W.P.","affiliations":[],"preferred":false,"id":732861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaver, M.R.","contributorId":21998,"corporation":false,"usgs":true,"family":"Beaver","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":732862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196423,"text":"wdrPA052 - 2006 - Water Resources Data, Pennsylvania, Water Year 2005, Volume 2. Susquehanna and Potomac River Basins","interactions":[],"lastModifiedDate":"2018-05-29T13:07:49","indexId":"wdrPA052","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"PA-05-2","title":"Water Resources Data, Pennsylvania, Water Year 2005, Volume 2. Susquehanna and Potomac River Basins","docAbstract":"<p>Water resources data for the 2005 water year for Pennsylvania consist of records of discharge and water quality of streams; contents and elevations of lakes and reservoirs; and water levels and water quality of ground-water wells. This report, Volume 2 contains (1) discharge records for 89 continuous-record streamflow-gaging stations, 13 partial-record stations, 23 special study and miscellaneous streamflow sites; (2) elevation and contents for 12 lakes and reservoirs, and water-quality records for 12 lakes and reservoirs; (3) water-quality records for 33 gaging stations and 68 ungaged streamsites; (4) water-level records for 40 network observation wells; and (5) water-quality analyses at 35 special study ground-water wells. Site locations are shown in figures throughout the report. Additional water data collected at various sites not involved in the systematic data-collection program are also presented. These data together with the data in Volumes 1 and 3, represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating State, local, and Federal agencies in Pennsylvania.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdrPA052","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, the Baltimore District of the U.S. Army Corps of Engineers, and with other State, municipal, and Federal agencies","usgsCitation":"Durlin, R.R., Schaffstall, and Beaver, M.R., 2006, Water Resources Data, Pennsylvania, Water Year 2005, Volume 2. Susquehanna and Potomac River Basins: U.S. Geological Survey WDR PA-05-2, 558 p., https://pubs.er.usgs.gov/publication/wdrPA052.","productDescription":"xx, 558 p.","numberOfPages":"578","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":353209,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-susq-05-2/wdr-susq2005-2.html","linkFileType":{"id":5,"text":"html"},"description":"WDR PA-05-2"},{"id":353208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-susq-05-2/coverthb.jpg"}],"contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">Pennsylvania Water Science Center</a><br> U.S. Geological Survey <br> 215 Limekiln Road <br> New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Preface</li><li>List of surface-water stations, in downstream order, for which records are published in this volume</li><li>List of ground-water wells, by county, for which records are published in this volume</li><li>List of discontinued continuous-record surface-water discharge stations</li><li>List of discontinued continuous-record surface-water-quality stations</li><li>Pennsylvania District office locations and addresses</li><li>Introduction</li><li>Cooperation</li><li>Summary of hydrologic conditions</li><li>Special networks and programs</li><li>Explanation of the record</li><li>Explanation of stage- and water-discharge records</li><li>Explanation of water-quality records</li><li>Explanation of ground-water-level records</li><li>Ground-water-quality data</li><li>Access to USGS Water Data</li><li>Definition of terms</li><li>Techniques of Waer-Resources Investigations of the U.S. Geological Survey</li><li>Special Notes, Remark Codes, and Selected Constituent Definition</li><li>Station records, surface water</li><li>Special Notes, Remark Codes, and Selected Constituent Definitions</li><li>Station records, ground water</li><li>Index</li></ul>","publishedDate":"2018-05-25","noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b157a1be4b092d9651e1f9f","contributors":{"authors":[{"text":"Durlin, R.R.","contributorId":67116,"corporation":false,"usgs":true,"family":"Durlin","given":"R.R.","affiliations":[],"preferred":false,"id":732870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffstall, W.P.","contributorId":20010,"corporation":false,"usgs":true,"family":"Schaffstall","given":"W.P.","affiliations":[],"preferred":false,"id":732871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaver, M.R.","contributorId":21998,"corporation":false,"usgs":true,"family":"Beaver","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":732872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}