{"pageNumber":"2357","pageRowStart":"58900","pageSize":"25","recordCount":185114,"records":[{"id":70030983,"text":"70030983 - 2007 - Application of a source apportionment model in consideration of volatile organic compounds in an urban stream","interactions":[],"lastModifiedDate":"2012-03-12T17:21:04","indexId":"70030983","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":"Application of a source apportionment model in consideration of volatile organic compounds in an urban stream","docAbstract":"Position-dependent concentrations of trichloroethylene and methyl-tert-butyl ether are considered for a 2.81-km section of the Aberjona River in Massachusetts, USA. This river flows through Woburn and Winchester (Massachusetts, USA), an area that is highly urbanized, has a long history of industrial activities dating to the early 1800s, and has gained national attention because of contamination from chlorinated solvent compounds in Woburn wells G and H. The river study section is in Winchester and begins approximately five stream kilometers downstream from the Woburn wells superfund site. Approximately 300 toxic release sites are documented in the watershed upstream from the terminus of the study section. The inflow to the river study section is considered one source of contamination. Other sources are the atmosphere, a tributary flow, and groundwater flows entering the river; the latter are categorized according to stream zone (1, 2, 3, etc.). Loss processes considered include outflows to groundwater and water-to-atmosphere transfer of volatile compounds. For both trichloroethylene and methyl-rerf-butyl ether, degradation is neglected over the timescale of interest. Source apportionment fractions with assigned values ??inflow, ??1, ??2, ??3, etc. are tracked by a source apportionment model. The strengths of the groundwater and tributary sources serve as fitting parameters when minimizing a reduced least squares statistic between water concentrations measured during a synoptic study in July 2001 versus predictions from the model. The model fits provide strong evidence of substantial unknown groundwater sources of trichloroethylene and methyl-tert-butyl ether amounting to tens of grams per day of trichloroethylene and methyl-tert-butyl ether in the river along the study section. Modeling in a source apportionment manner can be useful to water quality managers allocating limited resources for remediation and source control. ?? 2007 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1897/06-557R.1","issn":"07307268","usgsCitation":"Asher, W., Luo, W., Campo, K., Bender, D., Robinson, K.W., Zogorski, J., and Pankow, J.F., 2007, Application of a source apportionment model in consideration of volatile organic compounds in an urban stream: Environmental Toxicology and Chemistry, v. 26, no. 8, p. 1606-1613, https://doi.org/10.1897/06-557R.1.","startPage":"1606","endPage":"1613","numberOfPages":"8","costCenters":[],"links":[{"id":211641,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/06-557R.1"},{"id":238968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-08-01","publicationStatus":"PW","scienceBaseUri":"5059ec93e4b0c8380cd4935d","contributors":{"authors":[{"text":"Asher, W.E.","contributorId":99339,"corporation":false,"usgs":true,"family":"Asher","given":"W.E.","email":"","affiliations":[],"preferred":false,"id":429498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luo, W.","contributorId":71331,"corporation":false,"usgs":true,"family":"Luo","given":"W.","email":"","affiliations":[],"preferred":false,"id":429497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campo, K.W.","contributorId":102270,"corporation":false,"usgs":true,"family":"Campo","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":429499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bender, D.A.","contributorId":49537,"corporation":false,"usgs":true,"family":"Bender","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":429496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, K. W.","contributorId":27488,"corporation":false,"usgs":true,"family":"Robinson","given":"K.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":429495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zogorski, J.S.","contributorId":108201,"corporation":false,"usgs":true,"family":"Zogorski","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":429500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pankow, J. F.","contributorId":20917,"corporation":false,"usgs":true,"family":"Pankow","given":"J.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":429494,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70030984,"text":"70030984 - 2007 - Monitoring engineered remediation with borehole radar","interactions":[],"lastModifiedDate":"2019-10-17T09:54:03","indexId":"70030984","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring engineered remediation with borehole radar","docAbstract":"<p>The success of engineered remediation is predicated on correct emplacement of either amendments (e.g., vegetable-oil emulsion, lactate, molasses, etc.) or permeable reactive barriers (e.g., vegetable oil, zero-valent iron, etc.) to enhance microbial or geochemical breakdown of contaminants and treat contaminants. Currently, site managers have limited tools to provide information about the distribution of injected materials; the existence of gaps or holes in barriers; and breakdown or transformation of injected materials over time.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.2769561","issn":"1070485X","usgsCitation":"Lane, J.W., Day-Lewis, F.D., and Joesten, P.K., 2007, Monitoring engineered remediation with borehole radar: The Leading Edge, v. 26, no. 8, p. 1032-1035, https://doi.org/10.1190/1.2769561.","productDescription":"4 p.","startPage":"1032","endPage":"1035","numberOfPages":"4","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5da3e4b0c8380cd704d4","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":429503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":429501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429502,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030990,"text":"70030990 - 2007 - Comparison of the uptake of polycyclic aromatic hydrocarbons and organochlorine pesticides by semipermeable membrane devices and caged fish (Carassius carassius) in Taihu Lake, China","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030990","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":"Comparison of the uptake of polycyclic aromatic hydrocarbons and organochlorine pesticides by semipermeable membrane devices and caged fish (Carassius carassius) in Taihu Lake, China","docAbstract":"Uptake of polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs) by triolein-containing semipermeable membrane devices (SPMDs) and by crucian carp (Carassius carassius) was studied in Taihu Lake, a shallow, freshwater lake in China. Crucian carp and SPMDs were deployed side by side for 32 d. The first-order uptake rate constants of individual PAHs and OCPs for the two matrices were calculated and compared to relate the amounts of chemicals accumulated by the matrices to dissolved water concentrations. On a wet-weight basis, total concentrations of PAHs and OCPs in crucian carp fillets averaged 49.5 and 13.6 ng/g, respectively, after the 32-d exposure, whereas concentrations in whole SPMDs averaged 716.9 and 62.3 ng/g, respectively. The uptake rate constants of PAHs and OCPs by SPMDs averaged seven- and fivefold higher, respectively, than those for crucian carp; however, the patterns of uptake rate constants derived from test chemical concentrations in the crucian carp and SPMDs were similar. Although equilibrium was not reached for some PAHs and OCPs during the 32-d exposure period, a reasonably good correlation between the concentration factors (CFs) and octanol/water partition coefficient (K ow) values of PAHs and OCPs in SPMDs (r = 0.86, p < 0.001) was observed when potential sorption to dissolved organic carbon was taken into account. Similar efforts to correlate the CFs and Kow values of PAHs and OCPs in crucian carp (r = 0.75, p < 0.001) were less successful, likely because of PAH metabolism by finfish. Overall, the present results suggest that SPMDs may serve as a surrogate for contaminant monitoring with fish in freshwater lake environments. ?? 2007 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1897/06-454R1.1","issn":"07307268","usgsCitation":"Ke, R., Xu, Y., Huang, S., Wang, Z., and Huckins, J., 2007, Comparison of the uptake of polycyclic aromatic hydrocarbons and organochlorine pesticides by semipermeable membrane devices and caged fish (Carassius carassius) in Taihu Lake, China: Environmental Toxicology and Chemistry, v. 26, no. 6, p. 1258-1264, https://doi.org/10.1897/06-454R1.1.","startPage":"1258","endPage":"1264","numberOfPages":"7","costCenters":[],"links":[{"id":211272,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/06-454R1.1"},{"id":238535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-06-01","publicationStatus":"PW","scienceBaseUri":"5059f8b1e4b0c8380cd4d227","contributors":{"authors":[{"text":"Ke, R.","contributorId":51090,"corporation":false,"usgs":true,"family":"Ke","given":"R.","email":"","affiliations":[],"preferred":false,"id":429533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Y.","contributorId":47816,"corporation":false,"usgs":true,"family":"Xu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":429532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":429531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Z.","contributorId":67976,"corporation":false,"usgs":true,"family":"Wang","given":"Z.","affiliations":[],"preferred":false,"id":429535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huckins, J.N.","contributorId":62553,"corporation":false,"usgs":true,"family":"Huckins","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":429534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030992,"text":"70030992 - 2007 - Collaborative environmental planning in river management: An application of multicriteria decision analysis in the White River Watershed in Vermont","interactions":[],"lastModifiedDate":"2023-07-27T11:24:11.447381","indexId":"70030992","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Collaborative environmental planning in river management: An application of multicriteria decision analysis in the White River Watershed in Vermont","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"aep-abstract-id23\" class=\"abstract author\"><div id=\"aep-abstract-sec-id24\"><p>Multicriteria decision analysis (MCDA) provides a well-established family of decision tools to aid stakeholder groups in arriving at collective decisions. MCDA can also function as a framework for the social learning process, serving as an educational aid in decision problems characterized by a high level of public participation. In this paper, the framework and results of a structured decision process using the outranking MCDA methodology preference ranking organization method of enrichment evaluation (PROMETHEE) are presented. PROMETHEE is used to frame multi-stakeholder discussions of river management alternatives for the Upper White River of Central Vermont, in the northeastern United States. Stakeholders met over 10 months to create a shared vision of an ideal river and its services to communities, develop a list of criteria by which to evaluate river management alternatives, and elicit preferences to rank and compare individual and group preferences. The MCDA procedure helped to frame a group process that made stakeholder preferences explicit and substantive discussions about long-term river management possible.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2006.07.013","issn":"03014797","usgsCitation":"Hermans, C., Erickson, J., Noordewier, T., Sheldon, A., and Kline, M., 2007, Collaborative environmental planning in river management: An application of multicriteria decision analysis in the White River Watershed in Vermont: Journal of Environmental Management, v. 84, no. 4, p. 534-546, https://doi.org/10.1016/j.jenvman.2006.07.013.","productDescription":"13 p.","startPage":"534","endPage":"546","costCenters":[],"links":[{"id":238537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"White River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.14377041273924,\n              44.23689801922313\n            ],\n            [\n              -73.14377041273924,\n              43.16514851544187\n            ],\n            [\n              -72.02364553670077,\n              43.16514851544187\n            ],\n            [\n              -72.02364553670077,\n              44.23689801922313\n            ],\n            [\n              -73.14377041273924,\n              44.23689801922313\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7ace4b0c8380cd4cc41","contributors":{"authors":[{"text":"Hermans, C.","contributorId":100605,"corporation":false,"usgs":true,"family":"Hermans","given":"C.","affiliations":[],"preferred":false,"id":429543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, J.","contributorId":26265,"corporation":false,"usgs":true,"family":"Erickson","given":"J.","email":"","affiliations":[],"preferred":false,"id":429540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noordewier, T.","contributorId":82124,"corporation":false,"usgs":true,"family":"Noordewier","given":"T.","email":"","affiliations":[],"preferred":false,"id":429541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sheldon, A.","contributorId":17424,"corporation":false,"usgs":true,"family":"Sheldon","given":"A.","email":"","affiliations":[],"preferred":false,"id":429539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kline, M.","contributorId":94853,"corporation":false,"usgs":true,"family":"Kline","given":"M.","email":"","affiliations":[],"preferred":false,"id":429542,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030994,"text":"70030994 - 2007 - Multiple pathways for invasion of anurans on a Pacific island","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030994","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Multiple pathways for invasion of anurans on a Pacific island","docAbstract":"Since 1937, thirteen species of non-indigenous anurans have made their way to Guam. Of these, at least six have established breeding populations. Various pathways led to the introduction of these species to the island. The only anuran intentionally introduced was Chaunus marinus (formerly Bufo marinus), which was brought to Guam as a biocontrol agent. Kaloula picta, K. pulchra, Polypedates leucomystax, and probably Litoria fallax arrived as stowaways via maritime or air-transport vessels. Eleutherodactylus coqui and Euhyas (formerly Eleutherodactylus) planirostris appear to have entered Guam through the horticultural trade. Specimens of Pseudacris regilla were found among agricultural products and Christmas trees. Five species have been transported to Guam via the aquacultural trade. The importation of tilapia, milkfish, and white shrimp from China, Hong Kong, Taiwan, and the Philippines was associated with the introduction to Guam of Fejervarya cancrivora, F. limnocharis sensu lato, Microhyla pulchra, Polypedates megacephalus, and Sylvirana guentheri (formerly Rana guentheri). Presently, no quarantine or containment guidelines have been established for Guam's aquacultural industry. ?? 2007 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1472-4642.2007.00378.x","issn":"13669516","usgsCitation":"Christy, M., Savidge, J.A., and Rodda, G., 2007, Multiple pathways for invasion of anurans on a Pacific island: Diversity and Distributions, v. 13, no. 5, p. 598-607, https://doi.org/10.1111/j.1472-4642.2007.00378.x.","startPage":"598","endPage":"607","numberOfPages":"10","costCenters":[],"links":[{"id":477243,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1472-4642.2007.00378.x","text":"Publisher Index Page"},{"id":211301,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-4642.2007.00378.x"},{"id":238570,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-05-30","publicationStatus":"PW","scienceBaseUri":"505a6074e4b0c8380cd7148b","contributors":{"authors":[{"text":"Christy, M.T.","contributorId":20968,"corporation":false,"usgs":true,"family":"Christy","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":429550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savidge, J. A.","contributorId":36078,"corporation":false,"usgs":false,"family":"Savidge","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":429551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":429552,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030996,"text":"70030996 - 2007 - Larval Pacific herring, Clupea pallasii (Valenciennes), are highly susceptible to viral haemorrhagic septicaemia and survivors are partially protected after their metamorphosis to juveniles","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030996","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Larval Pacific herring, Clupea pallasii (Valenciennes), are highly susceptible to viral haemorrhagic septicaemia and survivors are partially protected after their metamorphosis to juveniles","docAbstract":"Pacific herring were susceptible to waterborne challenge with viral haemorrhagic septicaemia virus (VHSV) throughout their early life history stages, with significantly greater cumulative mortalities occurring among VHSV-exposed groups of 9-, 44-, 54- and 76-day-old larvae than among respective control groups. Similarly, among 89-day-1-year-old and 1+year old post-metamorphosed juveniles, cumulative mortality was significantly greater in VHSV-challenged groups than in respective control groups. Larval exposure to VHSV conferred partial protection to the survivors after their metamorphosis to juveniles as shown by significantly less cumulative mortalities among juvenile groups that survived a VHS epidemic as larvae than among groups that were previously nai??ve to VHSV. Magnitude of the protection, measured as relative per cent survival, was a direct function of larval age at first exposure and was probably a reflection of gradual developmental onset of immunocompetence. These results indicate the potential for easily overlooked VHS epizootics among wild larvae in regions where the virus is endemic and emphasize the importance of early life history stages of marine fish in influencing the ecological disease processes. ?? 2007 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2761.2007.00829.x","issn":"01407775","usgsCitation":"Hershberger, P., Gregg, J., Pacheco, C., Winton, J., Richard, J., and Traxler, G., 2007, Larval Pacific herring, Clupea pallasii (Valenciennes), are highly susceptible to viral haemorrhagic septicaemia and survivors are partially protected after their metamorphosis to juveniles: Journal of Fish Diseases, v. 30, no. 8, p. 445-458, https://doi.org/10.1111/j.1365-2761.2007.00829.x.","startPage":"445","endPage":"458","numberOfPages":"14","costCenters":[],"links":[{"id":211333,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2761.2007.00829.x"},{"id":238605,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-07-19","publicationStatus":"PW","scienceBaseUri":"505a44aae4b0c8380cd66ca0","contributors":{"authors":[{"text":"Hershberger, P.K. 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":58818,"corporation":false,"usgs":true,"family":"Hershberger","given":"P.K.","affiliations":[],"preferred":false,"id":429562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregg, J.","contributorId":27662,"corporation":false,"usgs":true,"family":"Gregg","given":"J.","email":"","affiliations":[],"preferred":false,"id":429559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pacheco, C.","contributorId":52844,"corporation":false,"usgs":true,"family":"Pacheco","given":"C.","email":"","affiliations":[],"preferred":false,"id":429560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winton, J.","contributorId":55627,"corporation":false,"usgs":true,"family":"Winton","given":"J.","email":"","affiliations":[],"preferred":false,"id":429561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richard, J.","contributorId":105952,"corporation":false,"usgs":true,"family":"Richard","given":"J.","email":"","affiliations":[],"preferred":false,"id":429564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Traxler, G.","contributorId":66972,"corporation":false,"usgs":true,"family":"Traxler","given":"G.","email":"","affiliations":[],"preferred":false,"id":429563,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70030997,"text":"70030997 - 2007 - Biogeographic affinity helps explain productivity-richness relationships at regional and local scales","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030997","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Biogeographic affinity helps explain productivity-richness relationships at regional and local scales","docAbstract":"The unresolved question of what causes the observed positive relationship between large-scale productivity and species richness has long interested ecologists and evolutionists. Here we examine a potential explanation that we call the biogeographic affinity hypothesis, which proposes that the productivity-richness relationship is a function of species' climatic tolerances that in turn are shaped by the earth's climatic history combined with evolutionary niche conservatism. Using botanical data from regions and sites across California, we find support for a key prediction of this hypothesis, namely, that the productivity-species richness relationship differs strongly and predictably among groups of higher taxa on the basis of their biogeographic affinities (i.e., between families or genera primarily associated with north-temperate, semiarid, or desert zones). We also show that a consideration of biogeographic affinity can yield new insights on how productivity-richness patterns at large geographic scales filter down to affect patterns of species richness and composition within local communities. ?? 2007 by The University of Chicago. All rights reserved.","largerWorkTitle":"American Naturalist","language":"English","doi":"10.1086/519010","issn":"00030147","usgsCitation":"Harrison, S., and Grace, J., 2007, Biogeographic affinity helps explain productivity-richness relationships at regional and local scales, <i>in</i> American Naturalist, v. 170, no. SUPPL., https://doi.org/10.1086/519010.","costCenters":[],"links":[{"id":211334,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/519010"},{"id":238606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"SUPPL.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f15ae4b0c8380cd4abf2","contributors":{"authors":[{"text":"Harrison, S.","contributorId":76129,"corporation":false,"usgs":true,"family":"Harrison","given":"S.","affiliations":[],"preferred":false,"id":429566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":429565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030998,"text":"70030998 - 2007 - The investigation of chemical structure of coal macerals via transmitted-light FT-IR microscopy by X. Sun","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030998","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3463,"text":"Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy","active":true,"publicationSubtype":{"id":10}},"title":"The investigation of chemical structure of coal macerals via transmitted-light FT-IR microscopy by X. Sun","docAbstract":"A recent paper by Sun [X. Sun, Spectrochim. Acta A 62 (1-3) (2005) 557] attempts to characterize a variety of liptinite, termed \"barkinite\", from Chinese Permian coals. The component identified does not appear to fundamentally differ from previously-described liptinite macerals included in the International Committee for Coal and Organic Petrology's system of maceral nomenclature. Further, chemical comparisons made with macerals from coals of different rank and age are flawed because the author did not account for changes in chemistry with rank or for the chemical changes associated with botanical changes through geologic time. The author has not satisfactorily proved his hypothesis that the component differs morphologically or chemically from known liptinite-group macerals. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.saa.2006.11.034","issn":"13861425","usgsCitation":"Hower, J., Suarez-Ruiz, I., Mastalerz, M., and Cook, A., 2007, The investigation of chemical structure of coal macerals via transmitted-light FT-IR microscopy by X. Sun: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, v. 67, no. 5, p. 1433-1437, https://doi.org/10.1016/j.saa.2006.11.034.","startPage":"1433","endPage":"1437","numberOfPages":"5","costCenters":[],"links":[{"id":211335,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.saa.2006.11.034"},{"id":238607,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad61e4b08c986b323b9c","contributors":{"authors":[{"text":"Hower, J.C.","contributorId":100541,"corporation":false,"usgs":true,"family":"Hower","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":429570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suarez-Ruiz, I.","contributorId":10598,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"I.","affiliations":[],"preferred":false,"id":429567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":429569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, A.C.","contributorId":43133,"corporation":false,"usgs":true,"family":"Cook","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":429568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033079,"text":"70033079 - 2007 - Mount St. Helens Petrology Workshop","interactions":[],"lastModifiedDate":"2019-03-25T11:01:12","indexId":"70033079","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Mount St. Helens Petrology Workshop","docAbstract":"<p>Following seismic activity in late September 2004, the current eruption of Mount St. Helens began with an explosive steam and ash emission on 1 October 2004, with hot dacite emerging from the crater floor on 11 October 2004. Nearly two years later, with more than 80 million cubic meters of erupted dacite, accompanied by rare explosions and predominantly shallow seismicity questions still remain about what initiated and what is sustaining the eruption.</p><p>The U.S. Geological Survey's (USGS) Cascade Volcano Observatory (CVO) hosted the 2006 Mount St. Helens Petrology Workshop in Vancouver, Wash., on 27–30 August 2006. With many of the more than 40 workshop participants finalizing contributions to a USGS Professional Paper on the current Mount St. Helens eruption, the workshop was a timely opportunity to share results, reconcile interpretations, and plan future research.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2007EO020004","issn":"00963941","usgsCitation":"Rowe, M.C., Pallister, J.S., and Grunder, A.L., 2007, Mount St. Helens Petrology Workshop: Eos, Transactions, American Geophysical Union, v. 88, no. 2, p. 15-15, https://doi.org/10.1029/2007EO020004.","productDescription":"1 p.","startPage":"15","endPage":"15","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":477041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007eo020004","text":"Publisher Index Page"},{"id":240715,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.35,\n              46.0833\n            ],\n            [\n              -122,\n              46.0833\n            ],\n            [\n              -122,\n              46.3\n            ],\n            [\n              -122.35,\n              46.3\n            ],\n            [\n              -122.35,\n              46.0833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-06-26","publicationStatus":"PW","scienceBaseUri":"505a5ea4e4b0c8380cd70b9a","contributors":{"authors":[{"text":"Rowe, Michael C.","contributorId":79191,"corporation":false,"usgs":true,"family":"Rowe","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":439289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":439290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grunder, Anita L.","contributorId":194549,"corporation":false,"usgs":false,"family":"Grunder","given":"Anita","middleInitial":"L.","affiliations":[],"preferred":false,"id":439291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033078,"text":"70033078 - 2007 - Optimal management of non-Markovian biological populations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033078","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Optimal management of non-Markovian biological populations","docAbstract":"Wildlife populations typically are described by Markovian models, with population dynamics influenced at each point in time by current but not previous population levels. Considerable work has been done on identifying optimal management strategies under the Markovian assumption. In this paper we generalize this work to non-Markovian systems, for which population responses to management are influenced by lagged as well as current status and/or controls. We use the maximum principle of optimal control theory to derive conditions for the optimal management such a system, and illustrate the effects of lags on the structure of optimal habitat strategies for a predator-prey system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2006.07.039","issn":"03043800","usgsCitation":"Williams, B.K., 2007, Optimal management of non-Markovian biological populations: Ecological Modelling, v. 200, no. 1-2, p. 234-242, https://doi.org/10.1016/j.ecolmodel.2006.07.039.","startPage":"234","endPage":"242","numberOfPages":"9","costCenters":[],"links":[{"id":213121,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2006.07.039"},{"id":240714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"200","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6ee5e4b0c8380cd7585c","contributors":{"authors":[{"text":"Williams, B. Kenneth","contributorId":107798,"corporation":false,"usgs":true,"family":"Williams","given":"B.","email":"","middleInitial":"Kenneth","affiliations":[],"preferred":false,"id":439288,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033077,"text":"70033077 - 2007 - Modeling pesticide fate in a small tidal estuary","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70033077","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling pesticide fate in a small tidal estuary","docAbstract":"The exposure analysis modeling system (EXAMS), a pesticide fate model developed by the U.S. Environmental Protection Agency, was modified to model the fate of the herbicides atrazine and metolachlor in a small tidally dominated estuary (Bath Creek) in North Carolina, USA where freshwater inflow accounts for only 3% of the total flow. The modifications simulated the changes that occur during the tidal cycle in the estuary, scenarios that are not possible with the original EXAMS model. Two models were created within EXAMS, a steady-state model and a time-variant tidally driven model. The steady-state model accounted for tidal flushing by simply altering freshwater input to yield an estuary residence time equal to that measured in Bath Creek. The tidal EXAMS model explicitly incorporated tidal flushing by modifying the EXAMS code to allow for temporal changes in estuary physical attributes (e.g., volume). The models were validated with empirical measurements of atrazine and metolachlor concentrations in the estuary shortly after herbicide application in nearby fields and immediately following a rain event. Both models provided excellent agreement with measured concentrations. The steady-state EXAMS model accurately predicted atrazine concentrations in the middle of the estuary over the first 3 days and under-predicted metolachlor by a factor of 2-3. The time-variant, tidally driven EXAMS model accurately predicted the rise and plateau of both herbicides over the 6-day measurement period. We have demonstrated the ability of these modified EXAMS models to be useful in predicting pesticide fate and exposure in small tidal estuaries. This is a significant improvement and expansion of the application of EXAMS, and given the wide use of EXAMS for surface water quality modeling by both researchers and regulators and the ability of EXAMS to interface with terrestrial models (e.g., pesticide root zone model) and bioaccumulation models, we now have an easily-accessible and widely accepted means of modeling chemical fate in estuaries. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2006.07.013","issn":"03043800","usgsCitation":"McCarthy, A., Bales, J., Cope, W., and Shea, D., 2007, Modeling pesticide fate in a small tidal estuary: Ecological Modelling, v. 200, no. 1-2, p. 149-159, https://doi.org/10.1016/j.ecolmodel.2006.07.013.","startPage":"149","endPage":"159","numberOfPages":"11","costCenters":[],"links":[{"id":241224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213586,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2006.07.013"}],"volume":"200","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c1be4b0c8380cd6fa31","contributors":{"authors":[{"text":"McCarthy, A.M.","contributorId":86981,"corporation":false,"usgs":true,"family":"McCarthy","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":439287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bales, J. D.","contributorId":21569,"corporation":false,"usgs":true,"family":"Bales","given":"J. D.","affiliations":[],"preferred":false,"id":439284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cope, W.G.","contributorId":71918,"corporation":false,"usgs":true,"family":"Cope","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":439285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shea, D.","contributorId":84987,"corporation":false,"usgs":true,"family":"Shea","given":"D.","email":"","affiliations":[],"preferred":false,"id":439286,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033076,"text":"70033076 - 2007 - Landslide susceptibility revealed by LIDAR imagery and historical records, Seattle, Washington","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70033076","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Landslide susceptibility revealed by LIDAR imagery and historical records, Seattle, Washington","docAbstract":"Light detection and ranging (LIDAR) data were used to visually map landslides, headscarps, and denuded slopes in Seattle, Washington. Four times more landslides were mapped than by previous efforts that used aerial photographs. The mapped landforms (landslides, headscarps, and denuded slopes) were created by many individual landslides. The spatial distribution of mapped landforms and 1308 historical landslides show that historical landslide activity has been concentrated on the mapped landforms, and that most of the landslide activity that created the landforms was prehistoric. Thus, the spatial densities of historical landslides on the landforms provide approximations of the landforms' relative susceptibilities to future landsliding. Historical landslide characteristics appear to be closely related to landform type so relative susceptibilities were determined for landslides with various characteristics. No strong relations were identified between stratigraphy and landslide occurrence; however, landslide characteristics and slope morphology appear to be related to stratigraphic conditions. Human activity is responsible for causing about 80% of historical Seattle landslides. The distribution of mapped landforms and human-caused landslides suggests the probable characteristics of future human-caused landslides on each of the landforms. The distribution of mapped landforms and historical landslides suggests that erosion of slope-toes by surface water has been a necessary condition for causing Seattle landslides. Human activity has largely arrested this erosion, which implies that landslide activity will decrease with time as hillsides naturally stabilize. However, evaluation of glacial-age analogs of areas of recent slope-toe erosion suggests that landslide activity in Seattle will continue for the foreseeable future. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Engineering Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.enggeo.2006.09.019","issn":"00137952","usgsCitation":"Schulz, W., 2007, Landslide susceptibility revealed by LIDAR imagery and historical records, Seattle, Washington: Engineering Geology, v. 89, no. 1-2, p. 67-87, https://doi.org/10.1016/j.enggeo.2006.09.019.","startPage":"67","endPage":"87","numberOfPages":"21","costCenters":[],"links":[{"id":241223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213585,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.enggeo.2006.09.019"}],"volume":"89","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4444e4b0c8380cd669a7","contributors":{"authors":[{"text":"Schulz, W.H.","contributorId":61225,"corporation":false,"usgs":true,"family":"Schulz","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":439283,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70031012,"text":"70031012 - 2007 - Rapid assessment of postfire plant invasions in coniferous forests of the western United States","interactions":[],"lastModifiedDate":"2015-12-18T11:00:11","indexId":"70031012","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Rapid assessment of postfire plant invasions in coniferous forests of the western United States","docAbstract":"<p>Fire is a natural part of most forest ecosystems in the western United States, but its effects on nonnative plant invasion have only recently been studied. Also, forest managers are engaging in fuel reduction projects to lessen fire severity, often without considering potential negative ecological consequences such as nonnative plant species introductions. Increased availability of light, nutrients, and bare ground have all been associated with high-severity fires and fuel treatments and are known to aid in the establishment of nonnative plant species. We use vegetation and environmental data collected after wildfires at seven sites in coniferous forests in the western United States to study responses of nonnative plants to wildfire. We compared burned vs. unburned plots and plots treated with mechanical thinning and/or prescribed burning vs. untreated plots for nonnative plant species richness and cover and used correlation analyses to infer the effect of abiotic site conditions on invasibility. Wildfire was responsible for significant increases in nonnative species richness and cover, and a significant decrease in native cover. Mechanical thinning and prescribed fire fuel treatments were associated with significant changes in plant species composition at some sites. Treatment effects across sites were minimal and inconclusive due to significant site and site x treatment interaction effects caused by variation between sites including differences in treatment and fire severities and initial conditions (e.g., nonnative species sources). We used canonical correspondence analysis (CCA) to determine what combinations of environmental variables best explained patterns of nonnative plant species richness and cover. Variables related to fire severity, soil nutrients, and elevation explained most of the variation in species composition. Nonnative species were generally associated with sites with higher fire severity, elevation, percentage of bare ground, and lower soil nutrient levels and lower canopy cover. Early assessments of postfire stand conditions can guide rapid responses to nonnative plant invasions. ?? 2007 by the Ecological Society of America.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/06-1859.1","issn":"10510761","usgsCitation":"Freeman, J., Stohlgren, T., Hunter, M., Omi, P.N., Martinson, E., Chong, G., and Brown, C.S., 2007, Rapid assessment of postfire plant invasions in coniferous forests of the western United States: Ecological Applications, v. 17, no. 6, p. 1656-1665, https://doi.org/10.1890/06-1859.1.","productDescription":"10 p.","startPage":"1656","endPage":"1665","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":238904,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211591,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/06-1859.1"}],"country":"United States","otherGeospatial":"Western United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","volume":"17","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a94c1e4b0c8380cd815d5","contributors":{"authors":[{"text":"Freeman, J.P.","contributorId":74575,"corporation":false,"usgs":true,"family":"Freeman","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":429632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":429628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, M.E.","contributorId":87672,"corporation":false,"usgs":true,"family":"Hunter","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":429634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Omi, Philip N.","contributorId":24307,"corporation":false,"usgs":true,"family":"Omi","given":"Philip","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":429629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinson, E.J.","contributorId":47149,"corporation":false,"usgs":true,"family":"Martinson","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":429630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chong, G.W.","contributorId":54153,"corporation":false,"usgs":true,"family":"Chong","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":429631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, C. S.","contributorId":80675,"corporation":false,"usgs":false,"family":"Brown","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":429633,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70031016,"text":"70031016 - 2007 - Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","interactions":[],"lastModifiedDate":"2023-07-31T12:20:02.840178","indexId":"70031016","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Sewage effluent, storm runoff, discharge from polluted rivers, and inputs of groundwater have all been suggested as potential sources of land derived nutrients into Hanalei Bay, Kauai. We determined the nitrogen isotopic signatures (δ<sup>15</sup>N) of different nitrate sources to Hanalei Bay along with the isotopic signature recorded by 11 species of macroalgal collected in the Bay. The macroalgae integrate the isotopic signatures of the nitrate sources over time, thus these data along with the nitrate to dissolved inorganic phosphate molar ratios (N:P) of the macroalgae were used to determine the major nitrate source to the bay ecosystem and which of the macro-nutrients is limiting algae growth, respectively. Relatively low δ<sup>15</sup>N values (average −0.5‰) were observed in all algae collected throughout the Bay; implicating fertilizer, rather than domestic sewage, as an important external source of nitrogen to the coastal water around Hanalei. The N:P ratio in the algae compared to the ratio in the Bay waters imply that the Hanalei Bay coastal ecosystem is nitrogen limited and thus, increased nitrogen input may potentially impact this coastal ecosystem and specifically the coral reefs in the Bay. Identifying the major source of nutrient loading to the Bay is important for risk assessment and potential remediation plans.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es0700449","issn":"0013936X","usgsCitation":"Derse, E., Knee, K., Wankel, S.D., Kendall, C., Berg, C.J., and Paytan, A., 2007, Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae: Environmental Science & Technology, v. 41, no. 15, p. 5217-5223, https://doi.org/10.1021/es0700449.","productDescription":"7 p.","startPage":"5217","endPage":"5223","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kauai Island, Hanalei Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-19","publicationStatus":"PW","scienceBaseUri":"505a3856e4b0c8380cd6152b","contributors":{"authors":[{"text":"Derse, E.","contributorId":55637,"corporation":false,"usgs":true,"family":"Derse","given":"E.","email":"","affiliations":[],"preferred":false,"id":429648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knee, K.L.","contributorId":13811,"corporation":false,"usgs":true,"family":"Knee","given":"K.L.","affiliations":[],"preferred":false,"id":429646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wankel, Scott D.","contributorId":98076,"corporation":false,"usgs":true,"family":"Wankel","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":429650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":429647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berg, Carl J. Jr.","contributorId":41091,"corporation":false,"usgs":true,"family":"Berg","given":"Carl","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paytan, A.","contributorId":98926,"corporation":false,"usgs":true,"family":"Paytan","given":"A.","affiliations":[],"preferred":false,"id":429651,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033060,"text":"70033060 - 2007 - Use of streamflow data to estimate base flowground-water recharge for Wisconsin","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033060","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Use of streamflow data to estimate base flowground-water recharge for Wisconsin","docAbstract":"The average annual base flow/recharge was determined for streamflow-gaging stations throughout Wisconsin by base-flow separation. A map of the State was prepared that shows the average annual base flow for the period 1970-99 for watersheds at 118 gaging stations. Trend analysis was performed on 22 of the 118 streamflow-gaging stations that had long-term records, unregulated flow, and provided aerial coverage of the State. The analysis found that a statistically significant increasing trend was occurring for watersheds where the primary land use was agriculture. Most gaging stations where the land cover was forest had no significant trend. A method to estimate the average annual base flow at ungaged sites was developed by multiple-regression analysis using basin characteristics. The equation with the lowest standard error of estimate, 9.5%, has drainage area, soil infiltration and base flow factor as independent variables. To determine the average annual base flow for smaller watersheds, estimates were made at low-flow partial-record stations in 3 of the 12 major river basins in Wisconsin. Regression equations were developed for each of the three major river basins using basin characteristics. Drainage area, soil infiltration, basin storage and base-flow factor were the independent variables in the regression equations with the lowest standard error of estimate. The standard error of estimate ranged from 17% to 52% for the three river basins. ?? 2007 American Water Resources Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2007.00018.x","issn":"1093474X","usgsCitation":"Gebert, W., Radloff, M., Considine, E., and Kennedy, J., 2007, Use of streamflow data to estimate base flowground-water recharge for Wisconsin: Journal of the American Water Resources Association, v. 43, no. 1, p. 220-236, https://doi.org/10.1111/j.1752-1688.2007.00018.x.","startPage":"220","endPage":"236","numberOfPages":"17","costCenters":[],"links":[{"id":213301,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2007.00018.x"},{"id":240913,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-12","publicationStatus":"PW","scienceBaseUri":"505bbf8ce4b08c986b329c10","contributors":{"authors":[{"text":"Gebert, W.A.","contributorId":71555,"corporation":false,"usgs":true,"family":"Gebert","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":439206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radloff, M.J.","contributorId":33929,"corporation":false,"usgs":true,"family":"Radloff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":439205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Considine, E.J.","contributorId":10229,"corporation":false,"usgs":true,"family":"Considine","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":439204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, J.L.","contributorId":98120,"corporation":false,"usgs":true,"family":"Kennedy","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":439207,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033059,"text":"70033059 - 2007 - Drag-out effect of piezomagnetic signals due to a borehole: The Mogi source as an example","interactions":[],"lastModifiedDate":"2019-03-25T11:03:19","indexId":"70033059","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Drag-out effect of piezomagnetic signals due to a borehole: The Mogi source as an example","docAbstract":"We show that using borehole measurements in tectonomagnetic experiments allows enhancement of the observed signals. New magnetic dipoles, which vary with stress changes from mechanical sources, are produced on the walls of the borehole. We evaluate such an effect quantitatively. First we formulate a general expression for the borehole effect due to any arbitrary source models. This is valid everywhere above the ground surface as well as within the cylindrical hole. A first-order approximate solution is given by a line of horizontal dipoles and vertical quadrupoles along the central axis of the borehole, which is valid above the ground surface and a slightly away (several tens of cm) from the top of the borehole. Selecting the Mogi model as an example, we numerically evaluated the borehole effect. It turned out that the vertical quadrupoles produce two orders of magnitude more intense magnetic field than the horizontal dipoles. The borehole effect is very local, i.e. detectable only within a few m from its outlet, since it is of the same order or more than the case without a borehole. However, magnetic lines of force cannot reach the ground surface from a deeper portion (> 10 m) of a borehole.","language":"English","publisher":"INGV","doi":"10.4401/ag-3089","issn":"15935213","usgsCitation":"Sasai, Y., Johnston, M., Tanaka, Y., Mueller, R., Hashimoto, T., Utsugi, M., Sakanaka, S., Uyeshima, M., Zlotnicki, J., and Yvetot, P., 2007, Drag-out effect of piezomagnetic signals due to a borehole: The Mogi source as an example: Annals of Geophysics, v. 50, no. 1, p. 93-104, https://doi.org/10.4401/ag-3089.","productDescription":"12 p.","startPage":"93","endPage":"104","numberOfPages":"12","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":477103,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-3089","text":"Publisher Index Page"},{"id":240884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-18","publicationStatus":"PW","scienceBaseUri":"505a03bee4b0c8380cd50630","contributors":{"authors":[{"text":"Sasai, Y.","contributorId":50340,"corporation":false,"usgs":true,"family":"Sasai","given":"Y.","affiliations":[],"preferred":false,"id":439200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, M.J.S. 0000-0003-4326-8368","orcid":"https://orcid.org/0000-0003-4326-8368","contributorId":104889,"corporation":false,"usgs":true,"family":"Johnston","given":"M.J.S.","affiliations":[],"preferred":false,"id":439203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanaka, Y.","contributorId":14214,"corporation":false,"usgs":true,"family":"Tanaka","given":"Y.","email":"","affiliations":[],"preferred":false,"id":439196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, R.","contributorId":23398,"corporation":false,"usgs":true,"family":"Mueller","given":"R.","email":"","affiliations":[],"preferred":false,"id":439197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hashimoto, T.","contributorId":9535,"corporation":false,"usgs":true,"family":"Hashimoto","given":"T.","email":"","affiliations":[],"preferred":false,"id":439195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Utsugi, M.","contributorId":45586,"corporation":false,"usgs":true,"family":"Utsugi","given":"M.","email":"","affiliations":[],"preferred":false,"id":439199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sakanaka, S.","contributorId":55697,"corporation":false,"usgs":true,"family":"Sakanaka","given":"S.","email":"","affiliations":[],"preferred":false,"id":439202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Uyeshima, M.","contributorId":55293,"corporation":false,"usgs":true,"family":"Uyeshima","given":"M.","email":"","affiliations":[],"preferred":false,"id":439201,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zlotnicki, J.","contributorId":43636,"corporation":false,"usgs":true,"family":"Zlotnicki","given":"J.","email":"","affiliations":[],"preferred":false,"id":439198,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yvetot, P.","contributorId":9136,"corporation":false,"usgs":true,"family":"Yvetot","given":"P.","email":"","affiliations":[],"preferred":false,"id":439194,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70033058,"text":"70033058 - 2007 - Chinook salmon use of spawning patches: Relative roles of habitat quality, size, and connectivity","interactions":[],"lastModifiedDate":"2017-11-15T13:56:58","indexId":"70033058","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Chinook salmon use of spawning patches: Relative roles of habitat quality, size, and connectivity","docAbstract":"Declines in many native fish populations have led to reassessments of management goals and shifted priorities from consumptive uses to species preservation. As management has shifted, relevant environmental characteristics have evolved from traditional metrics that described local habitat quality to characterizations of habitat size and connectivity. Despite the implications this shift has for how habitats may be prioritized for conservation, it has been rare to assess the relative importance of these habitat components. We used an information-theoretic approach to select the best models from sets of logistic regressions that linked habitat quality, size, and connectivity to the occurrence of chinook salmon (Oncorhynchus tshawytscha) nests. Spawning distributions were censused annually from 1995 to 2004, and data were complemented with field measurements that described habitat quality in 43 suitable spawning patches across a stream network that drained 1150 km 2 in central Idaho. Results indicated that the most plausible models were dominated by measures of habitat size and connectivity, whereas habitat quality was of minor importance. Connectivity was the strongest predictor of nest occurrence, but connectivity interacted with habitat size, which became relatively more important when populations were reduced. Comparison of observed nest distributions to null model predictions confirmed that the habitat size association was driven by a biological mechanism when populations were small, but this association may have been an area-related sampling artifact at higher abundances. The implications for habitat management are that the size and connectivity of existing habitat networks should be maintained whenever possible. In situations where habitat restoration is occurring, expansion of existing areas or creation of new habitats in key areas that increase connectivity may be beneficial. Information about habitat size and connectivity also could be used to strategically prioritize areas for improvement of local habitat quality, with areas not meeting minimum thresholds being deemed inappropriate for pursuit of restoration activities. ?? 2007 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/05-1949","issn":"10510761","usgsCitation":"Isaak, D., Thurow, R., Rieman, B., and Dunham, J., 2007, Chinook salmon use of spawning patches: Relative roles of habitat quality, size, and connectivity: Ecological Applications, v. 17, no. 2, p. 352-364, https://doi.org/10.1890/05-1949.","startPage":"352","endPage":"364","numberOfPages":"13","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":240883,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213274,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/05-1949"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f5bce4b0c8380cd4c3bb","contributors":{"authors":[{"text":"Isaak, D.J.","contributorId":77326,"corporation":false,"usgs":true,"family":"Isaak","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":439192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurow, R.F.","contributorId":69357,"corporation":false,"usgs":true,"family":"Thurow","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":439191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rieman, B.E.","contributorId":67283,"corporation":false,"usgs":true,"family":"Rieman","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":439190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, J. B. 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":96637,"corporation":false,"usgs":true,"family":"Dunham","given":"J. B.","affiliations":[],"preferred":false,"id":439193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033051,"text":"70033051 - 2007 - The lakes of Titan","interactions":[],"lastModifiedDate":"2018-12-07T16:40:59","indexId":"70033051","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The lakes of Titan","docAbstract":"<p><span>The surface of Saturn’s haze-shrouded moon Titan has long been proposed to have oceans or lakes, on the basis of the stability of liquid methane at the surface</span><sup>1,2</sup><span>. Initial visible</span><sup>3</sup><span>&nbsp;and radar</span><sup>4,5</sup><span>&nbsp;imaging failed to find any evidence of an ocean, although abundant evidence was found that flowing liquids have existed on the surface</span><sup>5,6</sup><span>. Here we provide definitive evidence for the presence of lakes on the surface of Titan, obtained during the Cassini Radar flyby of Titan on 22 July 2006 (T</span><sub>16</sub><span>). The radar imaging polewards of 70° north shows more than 75 circular to irregular radar-dark patches, in a region where liquid methane and ethane are expected to be abundant and stable on the surface</span><sup>2,7</sup><span>. The radar-dark patches are interpreted as lakes on the basis of their very low radar reflectivity and morphological similarities to lakes, including associated channels and location in topographic depressions. Some of the lakes do not completely fill the depressions in which they lie, and apparently dry depressions are present. We interpret this to indicate that lakes are present in a number of states, including partly dry and liquid-filled. These northern-hemisphere lakes constitute the strongest evidence yet that a condensable-liquid hydrological cycle is active in Titan’s surface and atmosphere, in which the lakes are filled through rainfall and/or intersection with the subsurface ‘liquid methane’ table.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Nature","doi":"10.1038/nature05438","issn":"00280836","usgsCitation":"Stofan, E.R., Elachi, C., Lunine, J.I., Lorenz, R.D., Stiles, B., Mitchell, K.L., Ostro, S., Soderblom, L.A., Wood, C., Zebker, H., Wall, S., Janssen, M.A., Kirk, R.L., Lopes, R., Paganelli, F., Radebaugh, J., Wye, L., Anderson, Y., Allison, M., Boehmer, R., Callahan, P., Encrenaz, P., Flamini, E., Francescetti, G., Gim, Y., Hamilton, G., Hensley, S., Johnson, W., Kelleher, K., Muhleman, D., Paillou, P., Picardi, G., Posa, F., Roth, L., Seu, R., Shaffer, S., Vetrella, S., and West, R., 2007, The lakes of Titan: Nature, v. 445, no. 7123, p. 61-64, https://doi.org/10.1038/nature05438.","productDescription":"4 p.","startPage":"61","endPage":"64","numberOfPages":"4","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476978,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20150408-080531263","text":"External Repository"},{"id":240746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"445","issue":"7123","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad7ae4b08c986b323c31","contributors":{"authors":[{"text":"Stofan, Ellen R.","contributorId":103746,"corporation":false,"usgs":true,"family":"Stofan","given":"Ellen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":439163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elachi, Charles","contributorId":211194,"corporation":false,"usgs":false,"family":"Elachi","given":"Charles","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":439165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunine, Jonathan I.","contributorId":82447,"corporation":false,"usgs":true,"family":"Lunine","given":"Jonathan","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":439147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Ralf D.","contributorId":147255,"corporation":false,"usgs":false,"family":"Lorenz","given":"Ralf","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":439160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stiles, B.","contributorId":59547,"corporation":false,"usgs":true,"family":"Stiles","given":"B.","email":"","affiliations":[],"preferred":false,"id":439149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, K. L.","contributorId":62734,"corporation":false,"usgs":false,"family":"Mitchell","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":439152,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostro, S.","contributorId":78924,"corporation":false,"usgs":true,"family":"Ostro","given":"S.","email":"","affiliations":[],"preferred":false,"id":439157,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":439166,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, C.","contributorId":27674,"corporation":false,"usgs":true,"family":"Wood","given":"C.","affiliations":[],"preferred":false,"id":439139,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zebker, H.","contributorId":25276,"corporation":false,"usgs":false,"family":"Zebker","given":"H.","affiliations":[],"preferred":false,"id":439136,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wall, S.","contributorId":103774,"corporation":false,"usgs":true,"family":"Wall","given":"S.","affiliations":[],"preferred":false,"id":439164,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Janssen, Michael A.","contributorId":211182,"corporation":false,"usgs":false,"family":"Janssen","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":439135,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 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R.","contributorId":47957,"corporation":false,"usgs":true,"family":"Boehmer","given":"R.","email":"","affiliations":[],"preferred":false,"id":439145,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Callahan, P.","contributorId":22889,"corporation":false,"usgs":true,"family":"Callahan","given":"P.","email":"","affiliations":[],"preferred":false,"id":439134,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Encrenaz, P.","contributorId":99358,"corporation":false,"usgs":true,"family":"Encrenaz","given":"P.","email":"","affiliations":[],"preferred":false,"id":439161,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Flamini, E.","contributorId":68087,"corporation":false,"usgs":true,"family":"Flamini","given":"E.","email":"","affiliations":[],"preferred":false,"id":439154,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Francescetti, G.","contributorId":72996,"corporation":false,"usgs":true,"family":"Francescetti","given":"G.","email":"","affiliations":[],"preferred":false,"id":439156,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Gim, Y.","contributorId":14934,"corporation":false,"usgs":true,"family":"Gim","given":"Y.","affiliations":[],"preferred":false,"id":439131,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Hamilton, G.","contributorId":108236,"corporation":false,"usgs":true,"family":"Hamilton","given":"G.","email":"","affiliations":[],"preferred":false,"id":439167,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Hensley, S.","contributorId":6175,"corporation":false,"usgs":true,"family":"Hensley","given":"S.","email":"","affiliations":[],"preferred":false,"id":439130,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Johnson, W.T.K.","contributorId":27174,"corporation":false,"usgs":true,"family":"Johnson","given":"W.T.K.","email":"","affiliations":[],"preferred":false,"id":439138,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Kelleher, K.","contributorId":102677,"corporation":false,"usgs":true,"family":"Kelleher","given":"K.","email":"","affiliations":[],"preferred":false,"id":439162,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Muhleman, D.","contributorId":82515,"corporation":false,"usgs":true,"family":"Muhleman","given":"D.","affiliations":[],"preferred":false,"id":439158,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Paillou, Philipe","contributorId":211181,"corporation":false,"usgs":false,"family":"Paillou","given":"Philipe","email":"","affiliations":[],"preferred":false,"id":439143,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Picardi, G.","contributorId":21674,"corporation":false,"usgs":true,"family":"Picardi","given":"G.","email":"","affiliations":[],"preferred":false,"id":439133,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Posa, F.","contributorId":43552,"corporation":false,"usgs":true,"family":"Posa","given":"F.","email":"","affiliations":[],"preferred":false,"id":439142,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Roth, L.","contributorId":70978,"corporation":false,"usgs":true,"family":"Roth","given":"L.","email":"","affiliations":[],"preferred":false,"id":439155,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Seu, R.","contributorId":53509,"corporation":false,"usgs":true,"family":"Seu","given":"R.","affiliations":[],"preferred":false,"id":439148,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Shaffer, S.","contributorId":89709,"corporation":false,"usgs":true,"family":"Shaffer","given":"S.","affiliations":[],"preferred":false,"id":439159,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Vetrella, S.","contributorId":48374,"corporation":false,"usgs":true,"family":"Vetrella","given":"S.","email":"","affiliations":[],"preferred":false,"id":439146,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"West, R.","contributorId":26996,"corporation":false,"usgs":true,"family":"West","given":"R.","email":"","affiliations":[],"preferred":false,"id":439137,"contributorType":{"id":1,"text":"Authors"},"rank":38}]}}
,{"id":70033049,"text":"70033049 - 2007 - A field investigation of phreatophyte‐induced fluctuations in the water table","interactions":[],"lastModifiedDate":"2018-04-03T17:32:19","indexId":"70033049","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A field investigation of phreatophyte‐induced fluctuations in the water table","docAbstract":"<p><span>Hydrographs from shallow wells in vegetated riparian zones frequently display a distinctive pattern of diurnal water table fluctuations produced by variations in plant water use. A multisite investigation assessed the major controls on these fluctuations and the ecohydrologic insights that can be gleaned from them. Spatial and temporal variations in the amplitude of the fluctuations are primarily a function of variations in (1) the meteorological drivers of plant water use, (2) vegetation density, type, and vitality, and (3) the specific yield of sediments in the vicinity of the water table. Past hydrologic conditions experienced by the riparian zone vegetation, either in previous years or earlier within the same growing season, are also an important control. Diurnal water table fluctuations can be considered a diagnostic indicator of groundwater consumption by phreatophytes at most sites, so the information embedded within these fluctuations should be more widely exploited in ecohydrologic studies.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2005WR004627","usgsCitation":"Butler, J.J., Kluitenberg, G.J., Whittemore, D.O., Loheide, S.P., Jin, W., Billinger, M.A., and Zhan, X., 2007, A field investigation of phreatophyte‐induced fluctuations in the water table: Water Resources Research, v. 43, no. 2, Article W02404; 12 p., https://doi.org/10.1029/2005WR004627.","productDescription":"Article W02404; 12 p.","costCenters":[],"links":[{"id":477034,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005wr004627","text":"Publisher Index Page"},{"id":240712,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-02-07","publicationStatus":"PW","scienceBaseUri":"5059e3d3e4b0c8380cd46241","contributors":{"authors":[{"text":"Butler, James J. Jr.","contributorId":199860,"corporation":false,"usgs":false,"family":"Butler","given":"James","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":439121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluitenberg, Gerard J.","contributorId":93706,"corporation":false,"usgs":false,"family":"Kluitenberg","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":439127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittemore, Donald O.","contributorId":28748,"corporation":false,"usgs":false,"family":"Whittemore","given":"Donald","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":439124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loheide, Steven P. II","contributorId":62377,"corporation":false,"usgs":false,"family":"Loheide","given":"Steven","suffix":"II","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":439125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, Wei","contributorId":169363,"corporation":false,"usgs":false,"family":"Jin","given":"Wei","email":"","affiliations":[],"preferred":false,"id":439123,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Billinger, Mark A.","contributorId":117268,"corporation":false,"usgs":false,"family":"Billinger","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":439126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhan, Xiaoyong","contributorId":140206,"corporation":false,"usgs":false,"family":"Zhan","given":"Xiaoyong","email":"","affiliations":[],"preferred":false,"id":439122,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70033048,"text":"70033048 - 2007 - Using multiple gears to assess acoustic detectability and biomass of fish species in lake superior","interactions":[],"lastModifiedDate":"2016-05-02T12:57:11","indexId":"70033048","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Using multiple gears to assess acoustic detectability and biomass of fish species in lake superior","docAbstract":"<p><span>Recent predator demand and prey supply studies suggest that an annual daytime bottom trawl survey of Lake Superior underestimates prey fish biomass. A multiple-gear (acoustics, bottom trawl, and midwater trawl) nighttime survey has been recommended, but before abandoning a long-term daytime survey the effectiveness of night sampling of important prey species must be verified. We sampled three bottom depths (30, 60, and 120 m) at a Lake Superior site where the fish community included all commercially and ecologically important species. Day and night samples were collected within 48 h at all depths during eight different periods (one new and one full moon period during both early summer and late summer to early fall over 2 years). Biomass of demersal and benthic species was higher in night bottom trawl samples than in day bottom trawl samples. Night acoustic collections showed that pelagic fish typically occupied water cooler than 15&deg;C and light levels less than 0.001 lx. Using biomass in night bottom trawls and acoustic biomass above the bottom trawl path, we calculated an index of acoustic detectability for each species. Ciscoes&nbsp;</span><i>Coregonus artedi</i><span>, kiyis&nbsp;</span><i>C. kiyi</i><span>, and rainbow smelt</span><i>Osmerus mordax</i><span>&nbsp;left the bottom at night, whereas bloaters&nbsp;</span><i>C. hoyi</i><span>&nbsp;stayed nearer the bottom. We compared the biomass of important prey species estimated with two survey types: day bottom trawls and night estimates of the entire water column (bottom trawl biomass plus acoustic biomass). The biomass of large ciscoes (&gt;200 mm) was significantly greater when measured at night than when measured during daylight, but the differences for other sizes of important species did not vary significantly by survey type. Nighttime of late summer is a period when conditions for biomass estimation are largely invariant, and all important prey species can be sampled using a multiple-gear approach.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M06-090.1","issn":"02755947","usgsCitation":"Yule, D., Adams, J., Stockwell, J., and Gorman, O.T., 2007, Using multiple gears to assess acoustic detectability and biomass of fish species in lake superior: North American Journal of Fisheries Management, v. 27, no. 1, p. 106-126, https://doi.org/10.1577/M06-090.1.","productDescription":"21 p.","startPage":"106","endPage":"126","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":241222,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213584,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M06-090.1"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-01","publicationStatus":"PW","scienceBaseUri":"505bc079e4b08c986b32a14c","contributors":{"authors":[{"text":"Yule, D.L.","contributorId":78853,"corporation":false,"usgs":true,"family":"Yule","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":439118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, J.V.","contributorId":94069,"corporation":false,"usgs":true,"family":"Adams","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":439119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, J.D.","contributorId":19678,"corporation":false,"usgs":true,"family":"Stockwell","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":439117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorman, O. T.","contributorId":104605,"corporation":false,"usgs":true,"family":"Gorman","given":"O.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":439120,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033047,"text":"70033047 - 2007 - Characterization of the origin of coalbed gases in southeastern Illinois Basin by compound-specific carbon and hydrogen stable isotope ratios","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70033047","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the origin of coalbed gases in southeastern Illinois Basin by compound-specific carbon and hydrogen stable isotope ratios","docAbstract":"Coalbed gases and waters from exploratory and production gas wells in the southeastern Illinois Basin were sampled to assess geochemically the origin of coalbed gases, with an emphasis on the Springfield and Seelyville Coal Members that are commercially targeted for coalbed methane production in Indiana. On-line analyses of hydrocarbon gases methane to butanes (C1, C2, C3, n-C4, i-C4) and CO2 yielded gas concentrations, plus ??D and ??13C values. The low thermal maturity of Indiana coals with vitrinite reflectance R0 ??? 0.6% is in agreement with an overwhelmingly biogenic isotopic signature of coalbed gases containing ???96% methane generated via bacterial CO2-reduction. In contrast, thermogenic gas was generated in the stratigraphically equivalent coal beds in western Kentucky's Rough Creek Graben zone where higher maturities of up to R0 ??? 0.8% were reached owing to tectonic and hydrothermal activity. No secondary biogenic methane was observed in more mature western Kentucky coal beds where greater burial depth limits the recharge of meteoric water. Biogenic and thermogenic coalbed gases represent two end-members that are compositionally and isotopically distinct. Microbial biodegradation of thermogenic C2+ hydrocarbon gases in Indiana coal beds preferentially targets C3 and introduces isotope fractionation whereby remaining C3 is enriched in deuterium and 13C.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Organic Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.orggeochem.2006.09.005","issn":"01466380","usgsCitation":"Strapoc, D., Mastalerz, M., Eble, C., and Schimmelmann, A., 2007, Characterization of the origin of coalbed gases in southeastern Illinois Basin by compound-specific carbon and hydrogen stable isotope ratios: Organic Geochemistry, v. 38, no. 2, p. 267-287, https://doi.org/10.1016/j.orggeochem.2006.09.005.","startPage":"267","endPage":"287","numberOfPages":"21","costCenters":[],"links":[{"id":213583,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.orggeochem.2006.09.005"},{"id":241221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4e6e4b0c8380cd4bfb9","contributors":{"authors":[{"text":"Strapoc, D.","contributorId":42693,"corporation":false,"usgs":true,"family":"Strapoc","given":"D.","email":"","affiliations":[],"preferred":false,"id":439114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":439116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eble, C.","contributorId":57273,"corporation":false,"usgs":true,"family":"Eble","given":"C.","affiliations":[],"preferred":false,"id":439115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schimmelmann, A.","contributorId":28348,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"A.","affiliations":[],"preferred":false,"id":439113,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033046,"text":"70033046 - 2007 - Assessing small mammal abundance with track-tube indices and mark-recapture population estimates","interactions":[],"lastModifiedDate":"2017-08-31T13:51:41","indexId":"70033046","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Assessing small mammal abundance with track-tube indices and mark-recapture population estimates","docAbstract":"<p><span>We compared track-tube sampling with mark–recapture livetrapping and evaluated a track-tube index, defined as the number of track tubes with identifiable small mammal tracks during a 4-night period, as a predictor of small mammal abundance estimates in North Dakota grasslands. Meadow voles (</span><i>Microtus pennsylvanicus</i><span>) were the most commonly recorded species by both methods, but were underrepresented in track-tube sampling, whereas 13-lined ground squirrels (</span><i>Spermophilus tridecemlineatus</i><span>) and Franklin's ground squirrels (</span><i>S. franklinii</i><span>) were overrepresented in track-tube sampling. Estimates of average species richness were lower from track tubes than from livetrapping. Regression models revealed that the track-tube index was at best a moderately good predictor of small mammal population estimates because both the form (linear versus curvilinear) and slope of the relationship varied between years. In addition, 95% prediction intervals indicated low precision when predicting population estimates from new track-tube index observations. Track tubes required less time and expense than mark–recapture and eliminated handling of small mammals. Using track tubes along with mark–recapture in a double sampling for regression framework would have potential value when attempting to estimate abundance of small mammals over large areas.</span></p>","language":"English","publisher":"Oxford","doi":"10.1644/06-MAMM-A-098R1.1","issn":"00222372","usgsCitation":"Wiewel, A., Clark, W.R., and Sovada, M.A., 2007, Assessing small mammal abundance with track-tube indices and mark-recapture population estimates: Journal of Mammalogy, v. 88, no. 1, p. 250-260, https://doi.org/10.1644/06-MAMM-A-098R1.1.","productDescription":"11 p.","startPage":"250","endPage":"260","numberOfPages":"11","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477037,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/06-mamm-a-098r1.1","text":"Publisher Index Page"},{"id":241186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213552,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/06-MAMM-A-098R1.1"}],"volume":"88","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-28","publicationStatus":"PW","scienceBaseUri":"5059ede1e4b0c8380cd49a8e","contributors":{"authors":[{"text":"Wiewel, A.S.","contributorId":8682,"corporation":false,"usgs":true,"family":"Wiewel","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":439110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, William R.","contributorId":174794,"corporation":false,"usgs":false,"family":"Clark","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":439112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":439111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031018,"text":"70031018 - 2007 - Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70031018","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information","docAbstract":"A method to estimate the bankfull velocity and discharge in rivers that uses the morphological variables of the river channel, including bankfull width, channel slope, and meander length was developed and tested. Because these variables can be measured remotely from topographic and river alignment information derived from aerial photos and satellite imagery, it is possible that the bankfull state of flow can be estimated for rivers entirely from remotely-sensed information. Defining the bankfull hydraulics of rivers would also provide a reference condition for remote tracking of dynamic variables including width, stage, and slope, and for quantifying relative change in flow conditions of rivers over large regions. This could provide a more efficient method to inventory and quantify river hydraulic attributes and dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2007.04.011","issn":"00221694","usgsCitation":"Bjerklie, D., 2007, Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information: Journal of Hydrology, v. 341, no. 3-4, p. 144-155, https://doi.org/10.1016/j.jhydrol.2007.04.011.","startPage":"144","endPage":"155","numberOfPages":"12","costCenters":[],"links":[{"id":211644,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2007.04.011"},{"id":238971,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"341","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b57e4b0c8380cd526a3","contributors":{"authors":[{"text":"Bjerklie, D.M.","contributorId":68923,"corporation":false,"usgs":true,"family":"Bjerklie","given":"D.M.","affiliations":[],"preferred":false,"id":429656,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70031019,"text":"70031019 - 2007 - A three-dimensional geophysical model of the crust in the Barents Sea region: Model construction and basement characterization","interactions":[],"lastModifiedDate":"2023-08-02T11:19:43.038204","indexId":"70031019","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A three-dimensional geophysical model of the crust in the Barents Sea region: Model construction and basement characterization","docAbstract":"<p class=\"chapter-para\">BARENTS50, a new 3-D geophysical model of the crust in the Barents Sea Region has been developed by the University of Oslo, NORSAR and the U.S. Geological Survey. The target region comprises northern Norway and Finland, parts of the Kola Peninsula and the East European lowlands. Novaya Zemlya, the Kara Sea and Franz-Josef Land terminate the region to the east, while the Norwegian-Greenland Sea marks the western boundary. In total, 680 1-D seismic velocity profiles were compiled, mostly by sampling 2-D seismic velocity transects, from seismic refraction profiles. Seismic reflection data in the western Barents Sea were further used for density modelling and subsequent density-to-velocity conversion. Velocities from these profiles were binned into two sedimentary and three crystalline crustal layers. The first step of the compilation comprised the layer-wise interpolation of the velocities and thicknesses. Within the different geological provinces of the study region, linear relationships between the thickness of the sedimentary rocks and the thickness of the remaining crystalline crust are observed. We therefore, used the separately compiled (area-wide) sediment thickness data to adjust the total crystalline crustal thickness according to the total sedimentary thickness where no constraints from 1-D velocity profiles existed. The BARENTS50 model is based on an equidistant hexagonal grid with a node spacing of 50 km. The<span>&nbsp;</span><i>P</i>-wave velocity model was used for gravity modelling to obtain 3-D density structure. A better fit to the observed gravity was achieved using a grid search algorithm which focussed on the density contrast of the sediment-basement interface. An improvement compared to older geophysical models is the high resolution of 50 km. Velocity transects through the 3-D model illustrate geological features of the European Arctic. The possible petrology of the crystalline basement in western and eastern Barents Sea is discussed on the basis of the observed seismic velocity structure. The BARENTS50 model is available at<span>&nbsp;</span><a class=\"link link-uri openInAnotherWindow\" rel=\"noopener\" href=\"http://www.norsar.no/seismology/barents3d/\" target=\"_blank\" data-google-interstitial=\"false\" data-mce-href=\"http://www.norsar.no/seismology/barents3d/\">http://www.norsar.no/seismology/barents3d/</a>.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2007.03337.x","issn":"0956540X","usgsCitation":"Ritzmann, O., Maercklin, N., Inge, F.J., Bungum, H., Mooney, W.D., and Detweiler, S.T., 2007, A three-dimensional geophysical model of the crust in the Barents Sea region: Model construction and basement characterization: Geophysical Journal International, v. 170, no. 1, p. 417-435, https://doi.org/10.1111/j.1365-246X.2007.03337.x.","productDescription":"19 p.","startPage":"417","endPage":"435","numberOfPages":"19","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":477049,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2007.03337.x","text":"Publisher Index Page"},{"id":239005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              12.872382692554282,\n              78.71895422341294\n            ],\n            [\n              12.872382692554282,\n              67.30598227239312\n            ],\n            [\n              61.32497045420811,\n              67.30598227239312\n            ],\n            [\n              61.32497045420811,\n              78.71895422341294\n            ],\n            [\n              12.872382692554282,\n              78.71895422341294\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"170","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e5fde4b0c8380cd470a6","contributors":{"authors":[{"text":"Ritzmann, O.","contributorId":48386,"corporation":false,"usgs":true,"family":"Ritzmann","given":"O.","email":"","affiliations":[],"preferred":false,"id":429657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maercklin, N.","contributorId":81302,"corporation":false,"usgs":true,"family":"Maercklin","given":"N.","email":"","affiliations":[],"preferred":false,"id":429661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inge, Faleide J.","contributorId":58839,"corporation":false,"usgs":true,"family":"Inge","given":"Faleide","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bungum, H.","contributorId":94095,"corporation":false,"usgs":true,"family":"Bungum","given":"H.","email":"","affiliations":[],"preferred":false,"id":429662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":429660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":429658,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031219,"text":"70031219 - 2007 - Measuring bed load discharge in rivers: Bedload-surrogate monitoring workshop Minneapolis, Minnesota, 11-14 April 2007","interactions":[],"lastModifiedDate":"2021-03-31T15:27:17.483622","indexId":"70031219","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Measuring bed load discharge in rivers: Bedload-surrogate monitoring workshop Minneapolis, Minnesota, 11-14 April 2007","docAbstract":"The International Bedload-Surrogate Monitoring Workshop (http://www.nced.umn.edu/BRIC_2007.html), organized by the Bedload Research International Cooperative (BRIC; www.bedloadresearch.org), was held to assess and abet progress in continuous, semiautomated, or fully automated (surrogate) technologies for monitoring bed load discharge in gravel-, sand-, and mixed gravel-sand-bedded rivers. Direct bed load measurements, particularly at medium and high flows, during which most bed load occurs, tend to be time-consuming, expensive, and potentially hazardous. Surrogate technologies developed largely over the past decade and used at a number of research sites around the world show considerable promise toward providing relatively dense, robust, and quantifiably reliable bed load data sets. However, information on the efficacy of selected technologies for use in monitoring programs is needed, as is identification of the ways and means for bringing the most promising and practical of the technologies to fruition.","language":"English","publisher":"Wiley","doi":"10.1029/2007EO450008","usgsCitation":"Gray, J.R., Laronne, J.B., and Marr, J.D., 2007, Measuring bed load discharge in rivers: Bedload-surrogate monitoring workshop Minneapolis, Minnesota, 11-14 April 2007: Eos, Transactions, American Geophysical Union, v. 88, no. 45, https://doi.org/10.1029/2007EO450008.","productDescription":"1 p.","startPage":"471","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":238988,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"45","noUsgsAuthors":false,"publicationDate":"2007-12-03","publicationStatus":"PW","scienceBaseUri":"505a5344e4b0c8380cd6c971","contributors":{"authors":[{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":430575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laronne, Jonathan B.","contributorId":91207,"corporation":false,"usgs":false,"family":"Laronne","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":430577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marr, Jeffrey D. G.","contributorId":80791,"corporation":false,"usgs":false,"family":"Marr","given":"Jeffrey","email":"","middleInitial":"D. G.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":430576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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