{"pageNumber":"739","pageRowStart":"18450","pageSize":"25","recordCount":46677,"records":[{"id":70037438,"text":"70037438 - 2010 - Using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to explore geochemical taphonomy of vertebrate fossils in the upper cretaceous two medicine and Judith River formations of Montana","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037438","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"Using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to explore geochemical taphonomy of vertebrate fossils in the upper cretaceous two medicine and Judith River formations of Montana","docAbstract":"Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) was used to determine rare earth element (REE) content of 76 fossil bones collected from the Upper Cretaceous (Campanian) Two Medicine (TMF) and Judith River (JRF) Formations of Montana. REE content is distinctive at the formation scale, with TMF samples exhibiting generally higher overall REE content and greater variability in REE enrichment than JRF samples. Moreover, JRF bones exhibit relative enrichment in heavy REE, whereas TMF bones span heavy and light enrichment fields in roughly equal proportions. TMF bones are also characterized by more negative Ce anomalies and greater U enrichment than JRF bones, which is consistent with more oxidizing diagenetic conditions in the TMF. Bonebeds in both formations show general consistency in REE content, with no indication of spatial or temporal mixing within sites. Previous studies, however, suggest that the bonebeds in question are attritional assemblages that accumulated over considerable time spans. The absence of geochemical evidence for mixing is consistent with diagenesis transpiring in settings that remained chemically and hydrologically stable during recrystallization. Lithology-related patterns in REE content were also compared, and TMF bones recovered from fluvial sandstones show relative enrichment in heavy REE when compared with bones recovered from fine-grained floodplain deposits. In contrast, JRF bones, regardless of lithologic context (sandstone versus mudstone), exhibit similar patterns of REE uptake. This result is consistent with previous reconstructions that suggest that channel-hosted microfossil bonebeds of the JRF developed via the reworking of preexisting concentrations embedded in the interfluve. Geochemical data further indicate that reworked elements were potentially delivered to channels in a recrystallized condition, which is consistent with rapid adsorption of REE postmortem. Copyright ?? 2010, SEPM (Society for Sedimentary Geology).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaios","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2110/palo.2009.p09-084r","issn":"08831351","usgsCitation":"Rogers, R., Fricke, H., Addona, V., Canavan, R., Dwyer, C., Harwood, C., Koenig, A., Murray, R., Thole, J., and Williams, J., 2010, Using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to explore geochemical taphonomy of vertebrate fossils in the upper cretaceous two medicine and Judith River formations of Montana: Palaios, v. 25, no. 3, p. 183-195, https://doi.org/10.2110/palo.2009.p09-084r.","startPage":"183","endPage":"195","numberOfPages":"13","costCenters":[],"links":[{"id":217327,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/palo.2009.p09-084r"},{"id":245267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-03-10","publicationStatus":"PW","scienceBaseUri":"505bc066e4b08c986b32a0d8","contributors":{"authors":[{"text":"Rogers, R.R.","contributorId":14228,"corporation":false,"usgs":true,"family":"Rogers","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":461065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fricke, H.C.","contributorId":78177,"corporation":false,"usgs":true,"family":"Fricke","given":"H.C.","email":"","affiliations":[],"preferred":false,"id":461071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addona, V.","contributorId":79732,"corporation":false,"usgs":true,"family":"Addona","given":"V.","email":"","affiliations":[],"preferred":false,"id":461072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Canavan, R.R.","contributorId":18207,"corporation":false,"usgs":true,"family":"Canavan","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":461066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dwyer, C.N.","contributorId":52814,"corporation":false,"usgs":true,"family":"Dwyer","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":461068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harwood, C.L.","contributorId":13838,"corporation":false,"usgs":true,"family":"Harwood","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":461064,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koenig, A.E. 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":23679,"corporation":false,"usgs":true,"family":"Koenig","given":"A.E.","affiliations":[],"preferred":false,"id":461067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murray, R.","contributorId":80440,"corporation":false,"usgs":true,"family":"Murray","given":"R.","affiliations":[],"preferred":false,"id":461073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thole, J.T.","contributorId":56071,"corporation":false,"usgs":true,"family":"Thole","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":461069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, J.","contributorId":76270,"corporation":false,"usgs":true,"family":"Williams","given":"J.","affiliations":[],"preferred":false,"id":461070,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70037414,"text":"70037414 - 2010 - A physiologically based toxicokinetic model for methylmercury in female American kestrels","interactions":[],"lastModifiedDate":"2018-10-20T09:05:08","indexId":"70037414","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"A physiologically based toxicokinetic model for methylmercury in female American kestrels","docAbstract":"<p>A physiologically based toxicokinetic (PBTK) model was developed to describe the uptake, distribution, and elimination of methylmercury (CH 3Hg) in female American kestrels. The model consists of six tissue compartments corresponding to the brain, liver, kidney, gut, red blood cells, and remaining carcass. Additional compartments describe the elimination of CH3Hg to eggs and growing feathers. Dietary uptake of CH 3Hg was modeled as a diffusion-limited process, and the distribution of CH3Hg among compartments was assumed to be mediated by the flow of blood plasma. To the extent possible, model parameters were developed using information from American kestrels. Additional parameters were based on measured values for closely related species and allometric relationships for birds. The model was calibrated using data from dietary dosing studies with American kestrels. Good agreement between model simulations and measured CH3Hg concentrations in blood and tissues during the loading phase of these studies was obtained by fitting model parameters that control dietary uptake of CH 3Hg and possible hepatic demethylation. Modeled results tended to underestimate the observed effect of egg production on circulating levels of CH3Hg. In general, however, simulations were consistent with observed patterns of CH3Hg uptake and elimination in birds, including the dominant role of feather molt. This model could be used to extrapolate CH 3Hg kinetics from American kestrels to other bird species by appropriate reassignment of parameter values. Alternatively, when combined with a bioenergetics-based description, the model could be used to simulate CH 3Hg kinetics in a long-term environmental exposure.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/etc.241","issn":"07307268","usgsCitation":"Nichols, J., Bennett, R., Rossmann, R., French, J.B., and Sappington, K., 2010, A physiologically based toxicokinetic model for methylmercury in female American kestrels: Environmental Toxicology and Chemistry, v. 29, no. 8, p. 1854-1867, https://doi.org/10.1002/etc.241.","productDescription":"14 p.","startPage":"1854","endPage":"1867","numberOfPages":"14","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":245163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217235,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.241"}],"volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-08-01","publicationStatus":"PW","scienceBaseUri":"5059e4d9e4b0c8380cd46994","contributors":{"authors":[{"text":"Nichols, J.W.","contributorId":97290,"corporation":false,"usgs":true,"family":"Nichols","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":460949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, R.S.","contributorId":16533,"corporation":false,"usgs":true,"family":"Bennett","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":460947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossmann, R.","contributorId":54702,"corporation":false,"usgs":true,"family":"Rossmann","given":"R.","email":"","affiliations":[],"preferred":false,"id":460948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, John B. 0000-0001-8901-7092 jbfrench@usgs.gov","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":377,"corporation":false,"usgs":true,"family":"French","given":"John","email":"jbfrench@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":460946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sappington, K.G.","contributorId":8701,"corporation":false,"usgs":true,"family":"Sappington","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":460945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037408,"text":"70037408 - 2010 - Thematic accuracy of the NLCD 2001 land cover for the conterminous United States","interactions":[],"lastModifiedDate":"2018-03-08T13:06:31","indexId":"70037408","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Thematic accuracy of the NLCD 2001 land cover for the conterminous United States","docAbstract":"<p><span>The land-cover thematic accuracy of NLCD 2001 was assessed from a probability-sample of 15,000&nbsp;pixels. Nationwide, NLCD 2001 overall Anderson Level II and Level I accuracies were 78.7% and 85.3%, respectively. By comparison, overall accuracies at Level II and Level I for the NLCD 1992 were 58% and 80%. Forest and cropland were two classes showing substantial improvements in accuracy in NLCD 2001 relative to NLCD 1992. NLCD 2001 forest and cropland user's accuracies were 87% and 82%, respectively, compared to 80% and 43% for NLCD 1992. Accuracy results are reported for 10 geographic regions of the United States, with regional overall accuracies ranging from 68% to 86% for Level II and from 79% to 91% at Level I. Geographic variation in class-specific accuracy was strongly associated with the phenomenon that regionally more abundant land-cover classes had higher accuracy. Accuracy estimates based on several definitions of agreement are reported to provide an indication of the potential impact of reference data error on accuracy. Drawing on our experience from two NLCD national accuracy assessments, we discuss the use of designs incorporating auxiliary data to more seamlessly quantify reference data quality as a means to further advance thematic map accuracy assessment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.01.018","issn":"00344257","usgsCitation":"Wickham, J., Stehman, S., Fry, J., Smith, J., and Homer, C.G., 2010, Thematic accuracy of the NLCD 2001 land cover for the conterminous United States: Remote Sensing of Environment, v. 114, no. 6, p. 1286-1296, https://doi.org/10.1016/j.rse.2010.01.018.","productDescription":"11 p.","startPage":"1286","endPage":"1296","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245133,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217206,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.01.018"}],"volume":"114","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb1f0e4b08c986b3254d5","contributors":{"authors":[{"text":"Wickham, J.D.","contributorId":28329,"corporation":false,"usgs":true,"family":"Wickham","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":460920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, S.V.","contributorId":91974,"corporation":false,"usgs":false,"family":"Stehman","given":"S.V.","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":460924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fry, J.A. 0000-0002-8466-9582","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":69260,"corporation":false,"usgs":true,"family":"Fry","given":"J.A.","affiliations":[],"preferred":false,"id":460923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, J.H.","contributorId":49331,"corporation":false,"usgs":true,"family":"Smith","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":460922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":460921,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037407,"text":"70037407 - 2010 - Differentiating aquatic plant communities in a eutrophic river using hyperspectral and multispectral remote sensing","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037407","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Differentiating aquatic plant communities in a eutrophic river using hyperspectral and multispectral remote sensing","docAbstract":"This study evaluates the efficacy of remote sensing technology to monitor species composition, areal extent and density of aquatic plants (macrophytes and filamentous algae) in impoundments where their presence may violate water-quality standards. Multispectral satellite (IKONOS) images and more than 500 in situ hyperspectral samples were acquired to map aquatic plant distributions. By analyzing field measurements, we created a library of hyperspectral signatures for a variety of aquatic plant species, associations and densities. We also used three vegetation indices. Normalized Difference Vegetation Index (NDVI), near-infrared (NIR)-Green Angle Index (NGAI) and normalized water absorption depth (DH), at wavelengths 554, 680, 820 and 977 nm to differentiate among aquatic plant species composition, areal density and thickness in cases where hyperspectral analysis yielded potentially ambiguous interpretations. We compared the NDVI derived from IKONOS imagery with the in situ, hyperspectral-derived NDVI. The IKONOS-based images were also compared to data obtained through routine visual observations. Our results confirmed that aquatic species composition alters spectral signatures and affects the accuracy of remote sensing of aquatic plant density. The results also demonstrated that the NGAI has apparent advantages in estimating density over the NDVI and the DH. In the feature space of the three indices, 3D scatter plot analysis revealed that hyperspectral data can differentiate several aquatic plant associations. High-resolution multispectral imagery provided useful information to distinguish among biophysical aquatic plant characteristics. Classification analysis indicated that using satellite imagery to assess Lemna coverage yielded an overall agreement of 79% with visual observations and &gt;90% agreement for the densest aquatic plant coverages. Interpretation of biophysical parameters derived from high-resolution satellite or airborne imagery should prove to be a valuable approach for assessing the effectiveness of management practices for controlling aquatic plant growth in inland waters, as well as for routine monitoring of aquatic plants in lakes and suitable lentic environments. ?? 2010 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2010.02400.x","issn":"00465070","usgsCitation":"Tian, Y., Yu, Q., Zimmerman, M., Flint, S., and Waldron, M., 2010, Differentiating aquatic plant communities in a eutrophic river using hyperspectral and multispectral remote sensing: Freshwater Biology, v. 55, no. 8, p. 1658-1673, https://doi.org/10.1111/j.1365-2427.2010.02400.x.","startPage":"1658","endPage":"1673","numberOfPages":"16","costCenters":[],"links":[{"id":217205,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2010.02400.x"},{"id":245132,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-07-12","publicationStatus":"PW","scienceBaseUri":"505a0104e4b0c8380cd4fa4f","contributors":{"authors":[{"text":"Tian, Y.Q.","contributorId":75358,"corporation":false,"usgs":true,"family":"Tian","given":"Y.Q.","email":"","affiliations":[],"preferred":false,"id":460918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Q.","contributorId":26163,"corporation":false,"usgs":true,"family":"Yu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":460915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, M.J.","contributorId":89879,"corporation":false,"usgs":true,"family":"Zimmerman","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":460919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, S.","contributorId":54046,"corporation":false,"usgs":true,"family":"Flint","given":"S.","email":"","affiliations":[],"preferred":false,"id":460917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldron, M.C.","contributorId":33342,"corporation":false,"usgs":true,"family":"Waldron","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":460916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037386,"text":"70037386 - 2010 - Santa Barbara Basin diatom and silicoflagellate response to global climate anomalies during the past 2200 years","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037386","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Santa Barbara Basin diatom and silicoflagellate response to global climate anomalies during the past 2200 years","docAbstract":"Santa Barbara Basin (SBB) diatom and silicoflagellate assemblages are quantified from a box core record spanning AD 1940-2001 and an Ocean Drilling Program Hole 893A record from ???220 BC to AD 1880. The combined relative abundance of the diatoms Fragilariopsis doliolus and Nitzschia interrupteseriata from continuous two-year sampling intervals in the box core varies with sea surface temperature (SST), suggesting its utility in SST reconstruction. The assemblage data from the ODP 893A record indicate a broad interval of generally cooler SSTs between ???AD 800 and 1350, which corresponds to the Medieval Climate Anomaly (MCA), a period of generally warmer temperatures across other regions of the northern hemisphere. The assemblages also indicate an interval of generally warmer SSTs between ???AD 1400 and 1800, a period of otherwise global cooling referred to as the Little Ice Age (LIA). The changes in assemblages of diatoms and silicoflagellates support the hypothesis that the widespread droughts of the Medieval Climate Anomaly in the Western US were associated with cooler eastern North Pacific SST. The box core assemblages have higher percentages of tropical and subtropical compared to temperate and subpolar species than the ODP samples, reflecting a response of phytoplankton communities to an unusual 20th century warming. Pseudonitzschia australis, a diatom linked with domoic acid production, begins to become more common (>3% of the diatom assemblage) in the box core only after AD 1985, suggesting a link to anthropogenic activity. ?? 2008 Elsevier Ltd and INQUA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.quaint.2008.08.007","issn":"10406182","usgsCitation":"Barron, J., Bukry, D., and Field, D., 2010, Santa Barbara Basin diatom and silicoflagellate response to global climate anomalies during the past 2200 years: Quaternary International, v. 215, no. 1-2, p. 34-44, https://doi.org/10.1016/j.quaint.2008.08.007.","startPage":"34","endPage":"44","numberOfPages":"11","costCenters":[],"links":[{"id":217381,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quaint.2008.08.007"},{"id":245326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"215","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86b4e4b08c986b3160ac","contributors":{"authors":[{"text":"Barron, J.A. 0000-0002-9309-1145","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":95461,"corporation":false,"usgs":true,"family":"Barron","given":"J.A.","affiliations":[],"preferred":false,"id":460819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, D.","contributorId":15338,"corporation":false,"usgs":true,"family":"Bukry","given":"D.","affiliations":[],"preferred":false,"id":460818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, D.","contributorId":14669,"corporation":false,"usgs":true,"family":"Field","given":"D.","email":"","affiliations":[],"preferred":false,"id":460817,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037383,"text":"70037383 - 2010 - Metrics of ecosystem status for large aquatic systems: a global comparison","interactions":[],"lastModifiedDate":"2012-12-31T13:55:19","indexId":"70037383","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Metrics of ecosystem status for large aquatic systems: a global comparison","docAbstract":"We identified an objective set of 25 commonly available ecosystem metrics applicable across the world's large continental freshwater and brackish aquatic ecosystem. These metrics measure trophic structure, exploited species, habitat alteration, and catchment changes. We used long-term trends in these metrics as indicators of perturbations that represent an ecosystem not in homeostasis. We defined a healthy ecosystem as being in a homeostatic state; therefore, ecosystems with many changing trends were defined as more disturbed than ecosystems with fewer changing trends. Healthy ecosystems (lakes Baikal, Superior, and Tanganyika) were large, deep lakes in relatively unpopulated areas with no signs of eutrophication and no changes to their trophic structure. Disturbed ecosystems (lakes Michigan, Ontario, and Victoria) had shallow to moderately deep basins with high watershed population pressure and intense agricultural and residential land use. Transitioning systems had widely varying trends and faced increasing anthropogenic pressures. Standardized methodologies for capturing data could improve our understanding of the current state of these ecosystems and allow for comparisons of the response of large aquatic ecosystems to local and global stressors thereby providing more reliable insights into future changes in ecosystem health.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2009.11.003","issn":"03801330","usgsCitation":"Dobiesz, N., Hecky, R., Johnson, T., Sarvala, J., Dettmers, J., Lehtiniemi, M., Rudstam, L.G., Madenjian, C., and Witte, F., 2010, Metrics of ecosystem status for large aquatic systems: a global comparison: Journal of Great Lakes Research, v. 36, no. 1, p. 123-138, https://doi.org/10.1016/j.jglr.2009.11.003.","productDescription":"16 p.","startPage":"123","endPage":"138","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217349,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.11.003"},{"id":245293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5623e4b0c8380cd6d38b","contributors":{"authors":[{"text":"Dobiesz, N.E.","contributorId":95723,"corporation":false,"usgs":true,"family":"Dobiesz","given":"N.E.","affiliations":[],"preferred":false,"id":460801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hecky, R.E.","contributorId":94528,"corporation":false,"usgs":true,"family":"Hecky","given":"R.E.","affiliations":[],"preferred":false,"id":460800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, T.B.","contributorId":21490,"corporation":false,"usgs":true,"family":"Johnson","given":"T.B.","email":"","affiliations":[],"preferred":false,"id":460794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sarvala, J.","contributorId":37179,"corporation":false,"usgs":true,"family":"Sarvala","given":"J.","affiliations":[],"preferred":false,"id":460797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettmers, J.M.","contributorId":39724,"corporation":false,"usgs":true,"family":"Dettmers","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":460798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehtiniemi, M.","contributorId":33148,"corporation":false,"usgs":true,"family":"Lehtiniemi","given":"M.","affiliations":[],"preferred":false,"id":460796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rudstam, L. G.","contributorId":24720,"corporation":false,"usgs":true,"family":"Rudstam","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":460795,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":460799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witte, F.","contributorId":102717,"corporation":false,"usgs":true,"family":"Witte","given":"F.","email":"","affiliations":[],"preferred":false,"id":460802,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70037381,"text":"70037381 - 2010 - Temporal and spatial shifts in habitat use by Black Brant immediately following flightless molt","interactions":[],"lastModifiedDate":"2014-07-14T13:40:14","indexId":"70037381","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial shifts in habitat use by Black Brant immediately following flightless molt","docAbstract":"Each year thousands of Pacific Black Brant (<i>Branta bernicla nigricans</i>) undergo flightless wing molt in the Teshekpuk Lake Special Area (TLSA), Alaska, in two distinct habitats: inland, freshwater lakes and coastal, brackish wetlands. Brant lose body mass during wing molt and likely must add reserves upon regaining flight to help fuel their 2,500 km migration to autumn staging areas. We characterized movements and habitat use by Brant during post-molt (the period immediately following the recovery of flight) by (1) marking individual Brant with GPS (global positioning system) transmitters, and (2) conducting a series of replicate aerial surveys. Individuals molting in inland habitats promptly abandoned their molt wetland during the post-molt and moved into coastal habitats. Consequently, inland habitats were nearly deserted by early August when Brant had regained flight, a decrease of >5,000 individuals from the flightless period of early July. Conversely, coastal molting Brant largely remained in coastal habitats during the post-molt and many coastal wetlands were occupied by large flocks (>1,000 birds). Our results indicate that inland, freshwater wetlands were less suitable post-molt habitats for Brant, while coastal wetlands were preferred as they transitioned from flightless molt. The immediacy with which Brant vacated inland habitats upon regaining flight suggests that food may be limiting during molt and they are not selecting inland molt sites strictly for food resources, but rather a balance of factors including predator avoidance and acquisition of protein for feather growth. Our data clearly demonstrate that patterns of habitat use by Brant in the TLSA change over the course of the molt season, an important consideration for management of future resource development activities in this area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wilson Ornithological Society","publisherLocation":"Lawrence, KS","doi":"10.1676/09-114.1","issn":"15594491","usgsCitation":"Lewis, T., Flint, P.L., Schmutz, J.A., and Derksen, D.V., 2010, Temporal and spatial shifts in habitat use by Black Brant immediately following flightless molt: Wilson Journal of Ornithology, v. 122, no. 3, p. 484-493, https://doi.org/10.1676/09-114.1.","productDescription":"10 p.","startPage":"484","endPage":"493","numberOfPages":"10","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":217323,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/09-114.1"},{"id":245262,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teshekpuk Lake Special Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -153.6368,70.4992 ], [ -153.6368,70.9987 ], [ -151.8416,70.9987 ], [ -151.8416,70.4992 ], [ -153.6368,70.4992 ] ] ] } } ] }","volume":"122","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba4f2e4b08c986b3206bd","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":460787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":460786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":460784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":460785,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037378,"text":"70037378 - 2010 - Repeated use of an abandoned vehicle by nesting Turkey vultures (<i>Cathartes aura</i>)","interactions":[],"lastModifiedDate":"2017-12-27T11:42:37","indexId":"70037378","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Repeated use of an abandoned vehicle by nesting Turkey vultures (<i>Cathartes aura</i>)","docAbstract":"<p style=\"text-align: left;\" data-mce-style=\"text-align: left;\"><span>Turkey Vultures (</span><i>Cathartes aura</i><span>) lay their eggs on an existing substrate in the dark recesses of a variety of natural sites (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Kirk1','','','' ); return false;\">Kirk and Mossman 1998</a><span>). Although an important requirement of Turkey Vulture nest-site selection is isolation from human disturbances (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Kirk1','','','' ); return false;\">Kirk and Mossman 1998</a><span>), their nests have been reported in abandoned buildings since at least the early 1800s (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Nuttall1','','','' ); return false;\">Nuttall 1832</a><span>). Depopulation of rural areas in North America in recent decades has resulted in many abandoned buildings within the Turkey Vulture's breeding range (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Peck1','','','' ); return false;\">Peck 2003</a><span>). Increased use of abandoned buildings by nesting Turkey Vultures has been implicated in the species' recent northward range expansion (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Peck1','','','' ); return false;\">Peck 2003</a><span>, </span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Nelson1','','','' ); return false;\">Nelson et al. 2005</a><span>, </span><a class=\"ref\" onclick=\"popRef2('i0892-1016-44-1-73-Houston1','','','' ); return false;\">Houston et al. 2007</a><span>). Although abandoned or inoperative vehicles also are widespread in rural areas, we found no published literature documenting Turkey Vultures' use of these potential nest sites. Herein, we summarize the first documented incidence of a Turkey Vulture nesting in an abandoned vehicle.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-09-02.1","issn":"08921016","usgsCitation":"Igl, L., and Peterson, S., 2010, Repeated use of an abandoned vehicle by nesting Turkey vultures (<i>Cathartes aura</i>): Journal of Raptor Research, v. 44, no. 1, p. 73-75, https://doi.org/10.3356/JRR-09-02.1.","productDescription":"3 p.","startPage":"73","endPage":"75","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":245196,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Butte County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-102.9587,45.2128],[-102.958,45.1251],[-102.9581,45.0388],[-102.9576,44.7781],[-102.9589,44.69],[-102.9653,44.6898],[-102.966,44.6036],[-103.1861,44.6039],[-103.2066,44.6039],[-103.3273,44.6042],[-103.4467,44.6053],[-103.5666,44.6044],[-103.8156,44.6048],[-103.8258,44.6023],[-103.8256,44.5982],[-103.8234,44.5937],[-103.8324,44.5939],[-103.8309,44.5889],[-103.8373,44.5888],[-103.8384,44.586],[-103.8417,44.5877],[-103.8464,44.5913],[-103.8533,44.5884],[-103.8567,44.5915],[-103.8641,44.5854],[-103.8702,44.5925],[-103.884,44.5985],[-103.8883,44.5952],[-103.8934,44.5942],[-103.8973,44.595],[-103.9018,44.5954],[-103.9061,44.5916],[-103.9053,44.5889],[-103.9105,44.5892],[-103.9144,44.59],[-103.9179,44.5849],[-103.9262,44.5838],[-103.9344,44.5799],[-103.9396,44.5812],[-103.9446,44.5783],[-103.9454,44.5819],[-103.9511,44.5808],[-103.9549,44.5789],[-103.9671,44.5791],[-103.9761,44.5811],[-103.9813,44.5814],[-103.983,44.5777],[-103.9997,44.5773],[-104.0183,44.5773],[-104.0229,44.5799],[-104.035,44.5782],[-104.0399,44.574],[-104.0457,44.5734],[-104.0564,44.5717],[-104.0571,44.9818],[-104.0571,44.9987],[-104.0397,44.9986],[-104.0399,45.0602],[-104.0402,45.1563],[-104.0403,45.169],[-104.0403,45.1774],[-104.0403,45.1832],[-104.0406,45.2143],[-104.0207,45.2144],[-103.9364,45.2133],[-103.8969,45.2134],[-103.8568,45.2135],[-103.8354,45.2136],[-103.814,45.2132],[-103.7751,45.2132],[-103.7545,45.2137],[-103.7117,45.2139],[-103.6916,45.2134],[-103.6709,45.2139],[-103.6515,45.2139],[-103.6301,45.2139],[-103.3257,45.2124],[-102.9587,45.2128]]]},\"properties\":{\"name\":\"Butte\",\"state\":\"SD\"}}]}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa74de4b0c8380cd85335","contributors":{"authors":[{"text":"Igl, L.D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":13568,"corporation":false,"usgs":true,"family":"Igl","given":"L.D.","affiliations":[],"preferred":false,"id":460763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, S.L.","contributorId":88981,"corporation":false,"usgs":true,"family":"Peterson","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":460764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037330,"text":"70037330 - 2010 - Effects of 3D random correlated velocity perturbations on predicted ground motions","interactions":[],"lastModifiedDate":"2016-01-27T15:17:06","indexId":"70037330","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Effects of 3D random correlated velocity perturbations on predicted ground motions","docAbstract":"<p>Three-dimensional, finite-difference simulations of a realistic finite-fault rupture on the southern Hayward fault are used to evaluate the effects of random, correlated velocity perturbations on predicted ground motions. Velocity perturbations are added to a three-dimensional (3D) regional seismic velocity model of the San Francisco Bay Area using a 3D von Karman random medium. Velocity correlation lengths of 5 and 10 km and standard deviations in the velocity of 5% and 10% are considered. The results show that significant deviations in predicted ground velocities are seen in the calculated frequency range (&le;1 Hz) for standard deviations in velocity of 5% to 10%. These results have implications for the practical limits on the accuracy of scenario ground-motion calculations and on retrieval of source parameters using higher-frequency, strong-motion data.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120090060","issn":"00371106","usgsCitation":"Hartzell, S., Harmsen, S., and Frankel, A., 2010, Effects of 3D random correlated velocity perturbations on predicted ground motions: Bulletin of the Seismological Society of America, v. 100, no. 4, p. 1415-1426, https://doi.org/10.1785/0120090060.","productDescription":"12 p.","startPage":"1415","endPage":"1426","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217058,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090060"}],"volume":"100","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","scienceBaseUri":"505a0644e4b0c8380cd5119d","contributors":{"authors":[{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":460503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harmsen, S.","contributorId":79600,"corporation":false,"usgs":true,"family":"Harmsen","given":"S.","affiliations":[],"preferred":false,"id":460505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankel, A. 0000-0001-9119-6106","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":41593,"corporation":false,"usgs":true,"family":"Frankel","given":"A.","affiliations":[],"preferred":false,"id":460504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037326,"text":"70037326 - 2010 - Poroelastic stress-triggering of the 2005 M8.7 Nias earthquake by the 2004 M9.2 Sumatra-Andaman earthquake","interactions":[],"lastModifiedDate":"2020-05-04T15:50:57.831693","indexId":"70037326","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Poroelastic stress-triggering of the 2005 M8.7 Nias earthquake by the 2004 M9.2 Sumatra-Andaman earthquake","docAbstract":"<p>The M9.2 Sumatra-Andaman earthquake (SAE) occurred three months prior to the M8.7 Nias earthquake (NE). We propose that the NE was mechanically triggered by the SAE, and that poroelastic effects were a major component of this triggering. This study uses 3D finite element models (FEMs) of the Sumatra-Andaman subduction zone (SASZ) to predict the deformation, stress, and pore pressure fields of the SAE. The coseismic slip distribution for the SAE is calibrated to near-field GPS data using FEM-generated Green's Functions and linear inverse methods. The calibrated FEM is then used to predict the postseismic poroelastic contribution to stress-triggering along the rupture surface of the NE, which is adjacent to the southern margin of the SAE. The coseismic deformation of the SAE, combined with the rheologic configuration of the SASZ produces two transient fluid flow regimes having separate time constants. SAE coseismic pore pressures in the relatively shallow forearc and volcanic arc regions (within a few km depth) dissipate within one month after the SAE. However, pore pressures in the oceanic crust of the down-going slab persist several months after the SAE. Predictions suggest that the SAE initially induced MPa-scale negative pore pressure near the hypocenter of the NE. This pore pressure slowly recovered (increased) during the three-month interval separating the SAE and NE due to lateral migration of pore fluids, driven by coseismic pressure gradients, within the subducting oceanic crust. Because pore pressure is a fundamental component of Coulomb stress, the MPa-scale increase in pore pressure significantly decreased stability of the NE fault during the three-month interval after the SAE and prior to rupture of the NE. A complete analysis of stress-triggering due to the SAE must include a poroelastic component. Failure to include poroelastic mechanics will lead to an incomplete model that cannot account for the time interval between the SAE and NE. Our transient poroelastic model explains both the spatial and temporal characteristics of triggering of the NE by the SAE.&nbsp;</p>","largerWorkTitle":"","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2010.02.043","issn":"","usgsCitation":"Hughes, K., Masterlark, T., and Mooney, W.D., 2010, Poroelastic stress-triggering of the 2005 M8.7 Nias earthquake by the 2004 M9.2 Sumatra-Andaman earthquake: Earth and Planetary Science Letters, v. 293, no. 3-4, p. 289-299, https://doi.org/10.1016/j.epsl.2010.02.043.","productDescription":"11 p.","startPage":"289","endPage":"299","numberOfPages":"11","costCenters":[],"links":[{"id":244910,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Indian Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              24.2578125,\n              -39.6395375643667\n            ],\n            [\n              120.9375,\n              -39.6395375643667\n            ],\n            [\n              120.9375,\n              27.059125784374068\n            ],\n            [\n              24.2578125,\n              27.059125784374068\n            ],\n            [\n              24.2578125,\n              -39.6395375643667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"293","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7dd6e4b0c8380cd7a1be","contributors":{"authors":[{"text":"Hughes, K.L.H.","contributorId":96919,"corporation":false,"usgs":true,"family":"Hughes","given":"K.L.H.","email":"","affiliations":[],"preferred":false,"id":460484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":460483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":460482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037325,"text":"70037325 - 2010 - Determination of stress parameters for eight well-recorded earthquakes in eastern North America","interactions":[],"lastModifiedDate":"2012-12-19T14:44:57","indexId":"70037325","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Determination of stress parameters for eight well-recorded earthquakes in eastern North America","docAbstract":"We determined the stress parameter, <i>Δσ</i>, for the eight earthquakes studied by Atkinson and Boore (2006), using an updated dataset and a revised point-source stochastic model that captures the effect of a finite fault. We consider four geometrical-spreading functions, ranging from 1/<i>R</i> at all distances to two- or three-part functions. The <i>Δσ</i> values are sensitive to the rate of geometrical spreading at close distances, with 1/<i>R</i><sup>1.3</sup> spreading implying much higher <i>Δσ</i> than models with 1/<i>R</i> spreading. The important difference in ground motions of most engineering concern, however, arises not from whether the geometrical spreading is 1/<i>R</i><sup>1.3</sup> or 1/<i>R</i> at close distances, but from whether a region of flat or increasing geometrical spreading at intermediate distances is present, as long as <i>Δσ</i> is constrained by data that are largely at distances of 100 km–800 km. The simple 1/<i>R</i> model fits the sparse data for the eight events as well as do more complex models determined from larger datasets (where the larger datasets were used in our previous ground-motion prediction equations); this suggests that uncertainty in attenuation rates is an important component of epistemic uncertainty in ground-motion modeling. For the attenuation model used by Atkinson and Boore (2006), the average value of <i>Δσ</i> from the point-source model ranges from 180 bars to 250 bars, depending on whether or not the stress parameter from the 1988 Saguenay earthquake is included in the average. We also find that <i>Δσ</i> for a given earthquake is sensitive to its moment magnitude <b>M</b>, with a change of 0.1 magnitude units producing a factor of 1.3 change in the derived <i>Δσ</i>.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120090328","issn":"00371106","usgsCitation":"Boore, D., Campbell, K., and Atkinson, G.M., 2010, Determination of stress parameters for eight well-recorded earthquakes in eastern North America: Bulletin of the Seismological Society of America, v. 100, no. 4, p. 1632-1645, https://doi.org/10.1785/0120090328.","productDescription":"14 p.","startPage":"1632","endPage":"1645","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":245384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217436,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090328"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"100","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","scienceBaseUri":"5059ffcae4b0c8380cd4f3d3","contributors":{"authors":[{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":460480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, K.W.","contributorId":26309,"corporation":false,"usgs":true,"family":"Campbell","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":460479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, G. M.","contributorId":69283,"corporation":false,"usgs":true,"family":"Atkinson","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":460481,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037322,"text":"70037322 - 2010 - Sexing California gulls using morphometrics and discriminant function analysis","interactions":[],"lastModifiedDate":"2017-07-19T15:21:12","indexId":"70037322","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Sexing California gulls using morphometrics and discriminant function analysis","docAbstract":"A discriminant function analysis (DFA) model was developed with DNA sex verification so that external morphology could be used to sex 203 adult California Gulls (Larus californicus) in San Francisco Bay (SFB). The best model was 97% accurate and included head-to-bill length, culmen depth at the gonys, and wing length. Using an iterative process, the model was simplified to a single measurement (head-to-bill length) that still assigned sex correctly 94% of the time. A previous California Gull sex determination model developed for a population in Wyoming was then assessed by fitting SFB California Gull measurement data to the Wyoming model; this new model failed to converge on the same measurements as those originally used by the Wyoming model. Results from the SFB discriminant function model were compared to the Wyoming model results (by using SFB data with the Wyoming model); the SFB model was 7% more accurate for SFB California gulls. The simplified DFA model (head-to-bill length only) provided highly accurate results (94%) and minimized the measurements and time required to accurately sex California Gulls.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.033.0109","issn":"15244695","usgsCitation":"Herring, G., Ackerman, J., Eagles-Smith, C.A., and Takekawa, J.Y., 2010, Sexing California gulls using morphometrics and discriminant function analysis: Waterbirds, v. 33, no. 1, p. 79-85, https://doi.org/10.1675/063.033.0109.","startPage":"79","endPage":"85","numberOfPages":"7","costCenters":[],"links":[{"id":245352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217406,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.033.0109"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8db4e4b08c986b3184f1","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":460470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":460471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037318,"text":"70037318 - 2010 - Liana habitat and host preferences in northern temperate forests","interactions":[],"lastModifiedDate":"2013-06-24T09:34:42","indexId":"70037318","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Liana habitat and host preferences in northern temperate forests","docAbstract":"Lianas and other climbers are important ecological and structural components of forest communities. Like other plants, their abundance in a given habitat depends on a variety of factors, such as light, soil moisture and nutrients. However, since lianas require external support, host tree characteristics also influence their distribution. Lianas are conspicuous life forms in tropical regions, but in temperate areas, where they are less prominent, little is known about factors that control their distributions in these forests. We surveyed the climbing plant species in 20 mature (100 years and greater) forested habitats in the Midwest USA at a variety of levels from simple presence/absence, to ground layer abundances, to those species that had ascended trees. We also examined attributes of the tree species with climbers attached to them. Using cluster analysis, we distinguished five different tree communities in our survey locations. We determined that 25% of the trees we surveyed had one or more lianas attached to it, with Parthenocissus quinquefolia (Virginia creeper) the most common climbing species encountered. Canopy cover and soil attributes both influenced climber species presence/absence and ground layer climber abundance. The proportion of liana species of a given climbing type (roots, stem twiner, tendril climber) was significantly related to the DBH of the host tree, with more root climbers and fewer stem and tendril climbers on large trees. In general, the DBH of climbing lianas had a significant positive relationship to the DBH of the host tree; however this varied by the identity of the liana and the tree species. The greater the DBH of the host tree, the higher the probability that it was colonized by one or more lianas, with tree species such as Pinus banksiana (jack pine) and Quercus alba (white oak) being more susceptible to liana colonization than others. Finally, some liana species such as Celastrus scandens (American bittersweet) showed a preference for certain tree species (i.e., P. banksiana) as hosts. The information obtained about the relationship between the tree and climber community in this study provides insight into some of the factors that influence liana distributions in understudied temperate forest habitats and how lianas contribute to the structure of these mature forests. In addition, these data can provide a point of comparison to other liana communities in both temperate and tropical regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2010.07.045","issn":"03781127","usgsCitation":"Leicht-Young, S.A., Pavlovic, N., Frohnapple, K., and Grundel, R., 2010, Liana habitat and host preferences in northern temperate forests: Forest Ecology and Management, v. 260, no. 9, p. 1467-1477, https://doi.org/10.1016/j.foreco.2010.07.045.","productDescription":"11 p.","startPage":"1467","endPage":"1477","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217346,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.07.045"},{"id":245290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"260","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a474ae4b0c8380cd677fe","contributors":{"authors":[{"text":"Leicht-Young, S. A.","contributorId":41648,"corporation":false,"usgs":true,"family":"Leicht-Young","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, N.B.","contributorId":105076,"corporation":false,"usgs":true,"family":"Pavlovic","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":460452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnapple, K.J.","contributorId":13442,"corporation":false,"usgs":true,"family":"Frohnapple","given":"K.J.","affiliations":[],"preferred":false,"id":460449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundel, R.","contributorId":37110,"corporation":false,"usgs":true,"family":"Grundel","given":"R.","affiliations":[],"preferred":false,"id":460450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037298,"text":"70037298 - 2010 - Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska","interactions":[],"lastModifiedDate":"2018-08-20T19:39:40","indexId":"70037298","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska","docAbstract":"We studied the vegetation of Kasatochi Island, central Aleutian Islands, to provide a general field assessment regarding the survival of plants, lichens, and fungi following a destructive volcanic eruption that occurred in 2008. Plant community data were analyzed using multivariate methods to explore the relationship between pre- and post-eruption plant cover; 5 major vegetation types were identified: Honckenya peploides beach, Festuca rubra cliff shelf, Lupinus nootkatensisFestuca rubra meadow, Leymus mollis bluff ridge (and beach), and Aleuria aurantia lower slope barrens. Our study provided a very unusual glimpse into the early stages of plant primary succession on a remote island where most of the vegetation was destroyed. Plants that apparently survived the eruption dominated early plant communities. Not surprisingly, the most diverse post-eruption community most closely resembled a widespread pre-eruption type. Microhabitats where early plant communities were found were distinct and apparently crucial in determining plant survival. Comparison with volcanic events in related boreal regions indicated some post-eruption pattern similarities. ?? 2010 Regents of the University of Colorado.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Arctic, Antarctic, and Alpine Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1657/1938-4246-42.3.285","issn":"15230430","usgsCitation":"Talbot, S., Talbot, S.L., and Walker, L.R., 2010, Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska: Arctic, Antarctic, and Alpine Research, v. 42, no. 3, p. 285-296, https://doi.org/10.1657/1938-4246-42.3.285.","startPage":"285","endPage":"296","numberOfPages":"12","costCenters":[],"links":[{"id":475814,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1657/1938-4246-42.3.285","text":"External Repository"},{"id":217028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1657/1938-4246-42.3.285"},{"id":244939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-01-17","publicationStatus":"PW","scienceBaseUri":"505a7e62e4b0c8380cd7a4ee","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":460319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra Looman 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":131088,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"Looman","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":460321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Lawrence R.","contributorId":12177,"corporation":false,"usgs":true,"family":"Walker","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":460320,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037295,"text":"70037295 - 2010 - Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70037295","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish","docAbstract":"We developed stochastic matrix models to evaluate the effects of hydrologic alteration and variable mortality on the population dynamics of a lotie fish in a regulated river system. Models were applied to a representative lotic fish species, the flathead catfish (Pylodictis olivaris), for which two populations were examined: a native population from a regulated reach of the Coosa River (Alabama, USA) and an introduced population from an unregulated section of the Ocmulgee River (Georgia, USA). Size-classified matrix models were constructed for both populations, and residuals from catch-curve regressions were used as indices of year class strength (i.e., recruitment). A multiple regression model indicated that recruitment of flathead catfish in the Coosa River was positively related to the frequency of spring pulses between 283 and 566 m<sup>3</sup>/s. For the Ocmulgee River population, multiple regression models indicated that year class strength was negatively related to mean March discharge and positively related to June low flow. When the Coosa population was modeled to experience five consecutive years of favorable hydrologic conditions during a 50-year projection period, it exhibited a substantial spike in size and increased at an overall 0.2% annual rate. When modeled to experience five years of unfavorable hydrologic conditions, the Coosa population initially exhibited a decrease in size but later stabilized and increased at a 0.4% annual rate following the decline. When the Ocmulgee River population was modeled to experience five years of favorable conditions, it exhibited a substantial spike in size and increased at an overall 0.4% annual rate. After the Ocmulgee population experienced five years of unfavorable conditions, a sharp decline in population size was predicted. However, the population quickly recovered, with population size increasing at a 0.3% annual rate following the decline. In general, stochastic population growth in the Ocmulgee River was more erratic and variable than population growth in the Coosa River. We encourage ecologists to develop similar models for other lotic species, particularly in regulated river systems. Successful management of fish populations in regulated systems requires that we are able to predict how hydrology affects recruitment and will ultimately influence the population dynamics of fishes. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-0305.1","issn":"10510761","usgsCitation":"Sakaris, P., and Irwin, E., 2010, Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish: Ecological Applications, v. 20, no. 2, p. 483-496, https://doi.org/10.1890/08-0305.1.","startPage":"483","endPage":"496","numberOfPages":"14","costCenters":[],"links":[{"id":216999,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-0305.1"},{"id":244907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8eae4b08c986b327b17","contributors":{"authors":[{"text":"Sakaris, P.C.","contributorId":18954,"corporation":false,"usgs":true,"family":"Sakaris","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":460314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, E.R.","contributorId":90269,"corporation":false,"usgs":true,"family":"Irwin","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":460315,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037291,"text":"70037291 - 2010 - A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037291","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA","docAbstract":"Five palynological biozones are proposed for the uppermost Santonian and Campanian Stages of South Carolina. In ascending stratigraphic order, these highest-occurrence interval zones are the Osculapollis vestibulus (Ov) Biozone, the Holkopollenites propinquus (Hp) Biozone, the Holkopollenites forix (Hf) Biozone, the Complexiopollis abditus (Ca) Biozone, and the Osculapollis aequalis (Oa) Biozone. These biozones are based on an analysis of more than 400 subsurface and outcrop samples throughout the Coastal Plain Province of South Carolina, and the adjacent states of Georgia and North Carolina. Integration of the biostratigraphy with lithostratigraphy and geophysical log data suggests that the lower and upper boundaries of each biozone are bounded by regional unconformities. Five new species are described, and an emendation is presented for one additional species. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cretaceous Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cretres.2009.09.004","issn":"01956671","usgsCitation":"Christopher, R.A., and Prowell, D., 2010, A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA: Cretaceous Research, v. 31, no. 2, p. 101-129, https://doi.org/10.1016/j.cretres.2009.09.004.","startPage":"101","endPage":"129","numberOfPages":"29","costCenters":[],"links":[{"id":217404,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cretres.2009.09.004"},{"id":245350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4d1e4b0c8380cd4694e","contributors":{"authors":[{"text":"Christopher, R. A.","contributorId":53775,"corporation":false,"usgs":true,"family":"Christopher","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prowell, D.C.","contributorId":95475,"corporation":false,"usgs":true,"family":"Prowell","given":"D.C.","affiliations":[],"preferred":false,"id":460301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037290,"text":"70037290 - 2010 - Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder","interactions":[],"lastModifiedDate":"2017-08-26T16:28:19","indexId":"70037290","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder","docAbstract":"The southern edge of San Francisco Bay is surrounded by former salt evaporation ponds, where tidal flow has been restricted since the mid to late 1890s. These ponds are now the focus of a large wetland restoration project, and accurate measurement of current pond bathymetry and adjacent mud flats has been critical to restoration planning. Aerial light detection and ranging (lidar) has become a tool for mapping surface elevations, but its accuracy had rarely been assessed for wetland habitats. We used a singlebeam echosounder system we developed for surveying shallow wetlands to map submerged pond bathymetry in January of 2004 and compared those results with aerial lidar surveys in two ponds that were dry in May of 2004. From those data sets, we compared elevations for 5164 (Pond E9, 154 ha) and 2628 (Pond E14, 69 ha) echosounder and lidar points within a 0.375-m radius of each other (0.750-m diameter lidar spot size). We found that mean elevations of the lidar points were lower than the echosounder results by 5 ?? 0.1 cm in Pond E9 and 2 ?? 0.2 cm in Pond E14. Only a few points (5% in Pond E9, 2% in Pond E14) differed by more than 20 cm, and some of these values may be explained by residual water in the ponds during the lidar survey or elevation changes that occurred between surveys. Our results suggest that aerial lidar may be a very accurate and rapid way to assess terrain elevations for wetland restoration projects. ?? 2010 Coastal Education and Research Foundation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2112/08-1076.1","issn":"07490208","usgsCitation":"Athearn, N., Takekawa, J.Y., Jaffe, B., Hattenbach, B., and Foxgrover, A., 2010, Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder: Journal of Coastal Research, v. 26, no. 2, p. 312-319, https://doi.org/10.2112/08-1076.1.","startPage":"312","endPage":"319","numberOfPages":"8","costCenters":[],"links":[{"id":217374,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/08-1076.1"},{"id":245319,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5056e4b0c8380cd6b60c","contributors":{"authors":[{"text":"Athearn, N.D.","contributorId":86958,"corporation":false,"usgs":true,"family":"Athearn","given":"N.D.","affiliations":[],"preferred":false,"id":460298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, B.","contributorId":78517,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","affiliations":[],"preferred":false,"id":460297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hattenbach, B.J.","contributorId":103902,"corporation":false,"usgs":true,"family":"Hattenbach","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":460299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foxgrover, A.C.","contributorId":34321,"corporation":false,"usgs":true,"family":"Foxgrover","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":460295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037289,"text":"70037289 - 2010 - Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037289","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2615,"text":"Letters in Applied Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR","docAbstract":"Aims: The aim of this study was to evaluate the variability in lots of a DNA extraction kit using real-time PCR assays for Bacillus anthracis, Francisella tularensis and Vibrio cholerae. Methods and Results: Replicate aliquots of three bacteria were processed in duplicate with three different lots of a commercial DNA extraction kit. This experiment was repeated in triplicate. Results showed that cycle threshold values were statistically different among the different lots. Conclusions: Differences in DNA extraction reagent lots were found to be a significant source of variability for qPCR results. Steps should be taken to ensure the quality and consistency of reagents. Minimally, we propose that standard curves should be constructed for each new lot of extraction reagents, so that lot-to-lot variation is accounted for in data interpretation. Significance and Impact of the Study: This study highlights the importance of evaluating variability in DNA extraction procedures, especially when different reagent lots are used. Consideration of this variability in data interpretation should be an integral part of studies investigating environmental samples with unknown concentrations of organisms. ?? 2010 The Society for Applied Microbiology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Letters in Applied Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1472-765X.2009.02788.x","issn":"02668254","usgsCitation":"Bushon, R., Kephart, C., Koltun, G., Francy, D., Schaefer, F.W., and Lindquist, H.A., 2010, Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR: Letters in Applied Microbiology, v. 50, no. 3, p. 276-282, https://doi.org/10.1111/j.1472-765X.2009.02788.x.","startPage":"276","endPage":"282","numberOfPages":"7","costCenters":[],"links":[{"id":217373,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-765X.2009.02788.x"},{"id":245318,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b971ee4b08c986b31b8bf","contributors":{"authors":[{"text":"Bushon, R.N.","contributorId":68086,"corporation":false,"usgs":true,"family":"Bushon","given":"R.N.","affiliations":[],"preferred":false,"id":460293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kephart, C.M.","contributorId":20577,"corporation":false,"usgs":true,"family":"Kephart","given":"C.M.","affiliations":[],"preferred":false,"id":460289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":460292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francy, D.S. 0000-0001-9229-3557","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":86809,"corporation":false,"usgs":true,"family":"Francy","given":"D.S.","affiliations":[],"preferred":false,"id":460294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaefer, F. W. III","contributorId":26475,"corporation":false,"usgs":true,"family":"Schaefer","given":"F.","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":460290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindquist, H.D. Alan","contributorId":48666,"corporation":false,"usgs":true,"family":"Lindquist","given":"H.D.","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":460291,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037286,"text":"70037286 - 2010 - Quantifying restoration success and recovery in a metal-polluted stream: A 17-year assessment of physicochemical and biological responses","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037286","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying restoration success and recovery in a metal-polluted stream: A 17-year assessment of physicochemical and biological responses","docAbstract":"Evaluating the effectiveness of stream restoration is often challenging because of the lack of pre-treatment data, narrow focus on physicochemical measures and insufficient post-restoration monitoring. Even when these fundamental elements are present, quantifying restoration success is difficult because of the challenges associated with distinguishing treatment effects from seasonal variation, episodic events and long-term climatic changes.2. We report results of one of the most comprehensive and continuous records of physical, chemical and biological data available to assess restoration success for a stream ecosystem in North America. Over a 17 year period we measured seasonal and annual changes in metal concentrations, physicochemical characteristics, macroinvertebrate communities, and brown trout Salmo trutta populations in the Arkansas River, a metal-contaminated stream in Colorado, USA.3. Although we observed significant improvements in water quality after treatment, the effectiveness of restoration varied temporally, spatially and among biological response variables. The fastest recovery was observed at stations where restoration eliminated point sources of metal contamination. Recovery of macroinvertebrates was significantly delayed at some stations because of residual sediment contamination and because extreme seasonal and episodic variation in metal concentrations prevented recolonization by sensitive species. Synthesis and applications. Because recovery trajectories after the removal of a stressor are often complex or nonlinear, long-term studies are necessary to assess restoration success within the context of episodic events and changes in regional climate. The observed variation in recovery among chemical and biological endpoints highlights the importance of developing objective criteria to assess restoration success. Although the rapid response of macroinvertebrates to reduced metal concentrations is encouraging, we have previously demonstrated that benthic communities from the Arkansas River remained susceptible to other novel anthropogenic stressors. We suggest that the resistance or resilience of benthic macroinvertebrate communities to novel stressors may be effective indicators of restoration success that can account for the non-additive (e.g. synergistic) nature of compound perturbations. ?? 2010 The Authors. Journal compilation ?? 2010 British Ecological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2664.2010.01838.x","issn":"00218901","usgsCitation":"Clements, W., Vieira, N., and Church, S.E., 2010, Quantifying restoration success and recovery in a metal-polluted stream: A 17-year assessment of physicochemical and biological responses: Journal of Applied Ecology, v. 47, no. 4, p. 899-910, https://doi.org/10.1111/j.1365-2664.2010.01838.x.","startPage":"899","endPage":"910","numberOfPages":"12","costCenters":[],"links":[{"id":475855,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2010.01838.x","text":"Publisher Index Page"},{"id":217318,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2010.01838.x"},{"id":245256,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-06-29","publicationStatus":"PW","scienceBaseUri":"505a91dae4b0c8380cd804da","contributors":{"authors":[{"text":"Clements, W.H.","contributorId":78855,"corporation":false,"usgs":true,"family":"Clements","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":460282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vieira, N.K.M.","contributorId":71034,"corporation":false,"usgs":true,"family":"Vieira","given":"N.K.M.","email":"","affiliations":[],"preferred":false,"id":460281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Church, S. E.","contributorId":58260,"corporation":false,"usgs":true,"family":"Church","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":460280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037262,"text":"70037262 - 2010 - Empirical evaluation of predator-driven diel vertical migration in Lake Superior","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037262","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Empirical evaluation of predator-driven diel vertical migration in Lake Superior","docAbstract":"Recent studies on Lake Superior suggest that diel vertical migration (DVM) of prey (generalized Coregonus spp.) may be influenced by the density of predatory siscowet (Salvelinus namaycush). We empirically evaluated this hypothesis using data from acoustic, midwater trawl, and bottom trawl sampling at eight Lake Superior sites during three seasons in 2005 and a subset of sites in 2006. We expected the larger-bodied cisco (Coregonus artedi) to exhibit a shallower DVM compared with the smaller-bodied kiyi (Coregonus kiyi). Although DVM of kiyi and cisco were consistent with expectations of DVM as a size-dependent, predator-mediated process, we found no relationship between siscowet density and the magnitude of DVM of either coregonid. Cisco appear to have a size refuge from siscowet predation. Kiyi and siscowet co-occur in demersal habitat > 150 m during the day, where visual predation is unlikely, suggesting predator avoidance is not a factor in the daytime distribution of kiyi. Seasonal patterns of kiyi DVM were consistent with reported DVM of their primary prey Mysis relicta. Our results suggest that consideration of nonvisual foraging, rather than lightbased foraging theory (i.e., the antipredation window), is necessary to understand the processes driving DVM in deepwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/F09-198","issn":"0706652X","usgsCitation":"Stockwell, J., Hrabik, T., Jensen, O., Yule, D., and Balge, M., 2010, Empirical evaluation of predator-driven diel vertical migration in Lake Superior: Canadian Journal of Fisheries and Aquatic Sciences, v. 67, no. 3, p. 473-485, https://doi.org/10.1139/F09-198.","startPage":"473","endPage":"485","numberOfPages":"13","costCenters":[],"links":[{"id":217431,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F09-198"},{"id":245378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0908e4b0c8380cd51d84","contributors":{"authors":[{"text":"Stockwell, J.D.","contributorId":19678,"corporation":false,"usgs":true,"family":"Stockwell","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":460142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, T.R.","contributorId":95250,"corporation":false,"usgs":true,"family":"Hrabik","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":460144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, O.P.","contributorId":15865,"corporation":false,"usgs":true,"family":"Jensen","given":"O.P.","email":"","affiliations":[],"preferred":false,"id":460141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, D.L.","contributorId":78853,"corporation":false,"usgs":true,"family":"Yule","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":460143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balge, M.","contributorId":105920,"corporation":false,"usgs":true,"family":"Balge","given":"M.","affiliations":[],"preferred":false,"id":460145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037261,"text":"70037261 - 2010 - Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037261","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","docAbstract":"Many theoretical and laboratory studies have been undertaken to understand debris-flow processes and their associated hazards. However, complete and quantitative data sets from natural debris flows needed for confirmation of these results are limited. We used a novel combination of in situ measurements of debris-flow dynamics, video imagery, and pre- and postflow 2-cm-resolution digital terrain models to study a natural debris-flow event. Our field data constrain the initial and final reach morphology and key flow dynamics. The observed event consisted of multiple surges, each with clear variation of flow properties along the length of the surge. Steep, highly resistant, surge fronts of coarse-grained material without measurable pore-fluid pressure were pushed along by relatively fine-grained and water-rich tails that had a wide range of pore-fluid pressures (some two times greater than hydrostatic). Surges with larger nonequilibrium pore-fluid pressures had longer travel distances. A wide range of travel distances from different surges of similar size indicates that dynamic flow properties are of equal or greater importance than channel properties in determining where a particular surge will stop. Progressive vertical accretion of multiple surges generated the total thickness of mapped debris-flow deposits; nevertheless, deposits had massive, vertically unstratified sedimentological textures. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30928.1","issn":"00917613","usgsCitation":"McCoy, S., Kean, J., Coe, J.A., Staley, D., Wasklewicz, T., and Tucker, G., 2010, Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning: Geology, v. 38, no. 8, p. 735-738, https://doi.org/10.1130/G30928.1.","startPage":"735","endPage":"738","numberOfPages":"4","costCenters":[],"links":[{"id":245349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217403,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30928.1"}],"volume":"38","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d7ce4b0c8380cd5304a","contributors":{"authors":[{"text":"McCoy, S.W.","contributorId":74608,"corporation":false,"usgs":true,"family":"McCoy","given":"S.W.","affiliations":[],"preferred":false,"id":460139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":460138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, D.M.","contributorId":17851,"corporation":false,"usgs":true,"family":"Staley","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":460136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasklewicz, T.A.","contributorId":64922,"corporation":false,"usgs":true,"family":"Wasklewicz","given":"T.A.","affiliations":[],"preferred":false,"id":460137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":460140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037251,"text":"70037251 - 2010 - The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037251","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","docAbstract":"I analyze the sensitivity of seismic-hazard estimates in the central and eastern United States (CEUS) to maximum magnitude (m<sub>max</sub>) by exercising the U.S. Geological Survey (USGS) probabilistic hazard model with several m<sub>max</sub> alternatives. Seismicity-based sources control the hazard in most of the CEUS, but data seldom provide an objective basis for estimating m<sub>max</sub>. The USGS uses preferred m<sub>max</sub> values of moment magnitude 7.0 and 7.5 for the CEUS craton and extended margin, respectively, derived from data in stable continental regions worldwide. Other approaches, for example analysis of local seismicity or judgment about a source's seismogenic potential, often lead to much smaller m<sub>max</sub>. Alternative models span the m<sub>max</sub> ranges from the 1980s Electric Power Research Institute/Seismicity Owners Group (EPRI/SOG) analysis. Results are presented as haz-ard ratios relative to the USGS national seismic hazard maps. One alternative model specifies m<sub>max</sub> equal to moment magnitude 5.0 and 5.5 for the craton and margin, respectively, similar to EPRI/SOG for some sources. For 2% probability of exceedance in 50 years (about 0.0004 annual probability), the strong m<sub>max</sub> truncation produces hazard ratios equal to 0.35-0.60 for 0.2-sec spectral acceleration, and 0.15-0.35 for 1.0-sec spectral acceleration. Hazard-controlling earthquakes interact with m<sub>max</sub> in complex ways. There is a relatively weak dependence on probability level: hazardratios increase 0-15% for 0.002 annual exceedance probability and decrease 5-25% for 0.00001 annual exceedance probability. Although differences at some sites are tempered when faults are added, m<sub>max</sub> clearly accounts for some of the discrepancies that are seen in comparisons between USGS-based and EPRI/SOG-based hazard results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090114","issn":"00371106","usgsCitation":"Mueller, C., 2010, The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 699-711, https://doi.org/10.1785/0120090114.","startPage":"699","endPage":"711","numberOfPages":"13","costCenters":[],"links":[{"id":217256,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090114"},{"id":245187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505bad2ee4b08c986b323a30","contributors":{"authors":[{"text":"Mueller, C.S.","contributorId":45310,"corporation":false,"usgs":true,"family":"Mueller","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":460084,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037231,"text":"70037231 - 2010 - Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods","interactions":[],"lastModifiedDate":"2018-03-08T13:02:07","indexId":"70037231","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods","docAbstract":"<p><span>A prototype method was developed to update the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001 to a nominal date of 2006. NLCD 2001 is widely used as a baseline for national land cover and impervious cover conditions. To enable the updating of this database in an optimal manner, methods are designed to be accomplished by individual Landsat scene. Using conservative change thresholds based on land cover classes, areas of change and no-change were segregated from change vectors calculated from normalized Landsat scenes from 2001 and 2006. By sampling from NLCD 2001 impervious surface in unchanged areas, impervious surface predictions were estimated for changed areas within an urban extent defined by a companion land cover classification. Methods were developed and tested for national application across six study sites containing a variety of urban impervious surface. Results show the vast majority of impervious surface change associated with urban development was captured, with overall RMSE from 6.86 to 13.12% for these areas. Changes of urban development density were also evaluated by characterizing the categories of change by percentile for impervious surface. This prototype method provides a relatively low cost, flexible approach to generate updated impervious surface using NLCD 2001 as the baseline.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.02.018","issn":"00344257","usgsCitation":"Xian, G., and Homer, C.G., 2010, Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods: Remote Sensing of Environment, v. 114, no. 8, p. 1676-1686, https://doi.org/10.1016/j.rse.2010.02.018.","productDescription":"11 p.","startPage":"1676","endPage":"1686","numberOfPages":"11","ipdsId":"IP-016198","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217401,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.02.018"}],"volume":"114","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbd1ee4b08c986b328ed4","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":459986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":459985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037227,"text":"70037227 - 2010 - Carbon dioxide emission factors for U.S. coal by origin and destination","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037227","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Carbon dioxide emission factors for U.S. coal by origin and destination","docAbstract":"This paper describes a method that uses published data to calculate locally robust CO<sub>2</sub> emission factors for U.S. coal. The method is demonstrated by calculating CO<sub>2</sub> emission factors by coal origin (223 counties, in 1999) and destination (479 power plants, in 2005). Locally robust CO<sub>2</sub> emission factors should improve the accuracy and verification of greenhouse gas emission measurements from individual coal-fired power plants. Based largely on the county origin, average emission factors for U.S. lignite, subbituminous, bituminous, and anthracite coal produced during 1999 were 92.97,91.97,88.20, and 98.91 kg CO<sub>2</sub>/GJ<sub>gross</sub>, respectively. However, greater variation is observed within these rank classes than between them, which limits the reliability of CO<sub>2</sub> emission factors specified by coal rank. Emission factors calculated by destination (power plant) showed greater variation than those listed in the Emissions &amp; Generation Resource Integrated Database (eGRID), which exhibit an unlikely uniformity that is inconsistent with the natural variation of CO<sub>2</sub> emission factors for U.S. coal. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es9027259","issn":"0013936X","usgsCitation":"Quick, J., 2010, Carbon dioxide emission factors for U.S. coal by origin and destination: Environmental Science & Technology, v. 44, no. 7, p. 2709-2714, https://doi.org/10.1021/es9027259.","startPage":"2709","endPage":"2714","numberOfPages":"6","costCenters":[],"links":[{"id":217341,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9027259"},{"id":245284,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-03-16","publicationStatus":"PW","scienceBaseUri":"5059f35fe4b0c8380cd4b761","contributors":{"authors":[{"text":"Quick, J.C.","contributorId":80848,"corporation":false,"usgs":true,"family":"Quick","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":459977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037195,"text":"70037195 - 2010 - Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037195","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals","docAbstract":"ASTER reflectance spectra from Cuprite, Nevada, and Mountain Pass, California, were compared to spectra of field samples and to ASTER-resampled AVIRIS reflectance data to determine spectral accuracy and spectroscopic mapping potential of two new ASTER SWIR reflectance datasets: RefL1b and AST_07XT. RefL1b is a new reflectance dataset produced for this study using ASTER Level 1B data, crosstalk correction, radiance correction factors, and concurrently acquired level 2 MODIS water vapor data. The AST_07XT data product, available from EDC and ERSDAC, incorporates crosstalk correction and non-concurrently acquired MODIS water vapor data for atmospheric correction. Spectral accuracy was determined using difference values which were compiled from ASTER band 5/6 and 9/8 ratios of AST_07XT or RefL1b data subtracted from similar ratios calculated for field sample and AVIRIS reflectance data. In addition, Spectral Analyst, a statistical program that utilizes a Spectral Feature Fitting algorithm, was used to quantitatively assess spectral accuracy of AST_07XT and RefL1b data.Spectral Analyst matched more minerals correctly and had higher scores for the RefL1b data than for AST_07XT data. The radiance correction factors used in the RefL1b data corrected a low band 5 reflectance anomaly observed in the AST_07XT and AST_07 data but also produced anomalously high band 5 reflectance in RefL1b spectra with strong band 5 absorption for minerals, such as alunite. Thus, the band 5 anomaly seen in the RefL1b data cannot be corrected using additional gain adjustments. In addition, the use of concurrent MODIS water vapor data in the atmospheric correction of the RefL1b data produced datasets that had lower band 9 reflectance anomalies than the AST_07XT data. Although assessment of spectral data suggests that RefL1b data are more consistent and spectrally more correct than AST_07XT data, the Spectral Analyst results indicate that spectral discrimination between some minerals, such as alunite and kaolinite, are still not possible unless additional spectral calibration using site specific spectral data are performed. ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.rse.2010.04.008","issn":"00344257","usgsCitation":"Mars, J., and Rowan, L.C., 2010, Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals: Remote Sensing of Environment, v. 114, no. 9, p. 2011-2025, https://doi.org/10.1016/j.rse.2010.04.008.","startPage":"2011","endPage":"2025","numberOfPages":"15","costCenters":[],"links":[{"id":245312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217368,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.04.008"}],"volume":"114","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9537e4b08c986b31ade3","contributors":{"authors":[{"text":"Mars, J.C.","contributorId":74833,"corporation":false,"usgs":true,"family":"Mars","given":"J.C.","affiliations":[],"preferred":false,"id":459845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowan, L. C.","contributorId":40584,"corporation":false,"usgs":true,"family":"Rowan","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":459844,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}