White-nose syndrome (WNS) is an emerging disease of hibernating bats associated with cutaneous infection by the fungus Geomyces destructans (Gd), and responsible for devastating declines of bat populations in eastern North America. Affected bats appear emaciated and one hypothesis is that they spend too much time out of torpor during hibernation, depleting vital fat reserves required to survive the winter. The fungus has also been found at low levels on bats throughout Europe but without mass mortality. This finding suggests that Gd is either native to both continents but has been rendered more pathogenic in North America by mutation or environmental change, or that it recently arrived in North America as an invader from Europe. Thus, a causal link between Gd and mortality has not been established and the reason for its high pathogenicity in North America is unknown. Here we show that experimental inoculation with either North American or European isolates of Gd causes WNS and mortality in the North American bat, Myotis lucifugus. In contrast to control bats, individuals inoculated with either isolate of Gd developed cutaneous infections diagnostic of WNS, exhibited a progressive increase in the frequency of arousals from torpor during hibernation, and were emaciated after 3–4 mo. Our results demonstrate that altered torpor-arousal cycles underlie mortality from WNS and provide direct evidence that Gd is a novel pathogen to North America from Europe.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1200374109","usgsCitation":"Warnecke, L., Turner, J.M., Bollinger, T., Lorch, J.M., Misra, V., Cryan, P., Wibbelt, G., Blehert, D., and Willis, C.K., 2012, Inoculation of bats with European Geomyces destructans supports the novel pathogen hypothesis for the origin of white-nose syndrome: Proceedings of the National Academy of Sciences, v. 109, no. 18, p. 6999-7003, https://doi.org/10.1073/pnas.1200374109.","productDescription":"5 p.","startPage":"6999","endPage":"7003","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474291,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3344949","text":"External Repository"},{"id":381849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"18","noUsgsAuthors":false,"publicationDate":"2012-04-09","publicationStatus":"PW","scienceBaseUri":"508954d8e4b08c2511e770f8","contributors":{"authors":[{"text":"Warnecke, Lisa","contributorId":51166,"corporation":false,"usgs":true,"family":"Warnecke","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":468399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, James M.","contributorId":50419,"corporation":false,"usgs":true,"family":"Turner","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollinger, Trent K.","contributorId":89024,"corporation":false,"usgs":true,"family":"Bollinger","given":"Trent K.","affiliations":[],"preferred":false,"id":468402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":468397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Misra, Vikram","contributorId":52846,"corporation":false,"usgs":true,"family":"Misra","given":"Vikram","email":"","affiliations":[],"preferred":false,"id":468400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cryan, Paul M. 0000-0002-2915-8894","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":99685,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":468404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wibbelt, Gudrun","contributorId":72640,"corporation":false,"usgs":true,"family":"Wibbelt","given":"Gudrun","affiliations":[],"preferred":false,"id":468401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":468396,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Willis, Craig K. R.","contributorId":92551,"corporation":false,"usgs":true,"family":"Willis","given":"Craig","email":"","middleInitial":"K. R.","affiliations":[],"preferred":false,"id":468403,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70040475,"text":"70040475 - 2012 - Spring snow goose hunting influences body composition of waterfowl staging in Nebraska","interactions":[],"lastModifiedDate":"2018-01-04T12:52:38","indexId":"70040475","displayToPublicDate":"2012-10-24T14:30:42","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spring snow goose hunting influences body composition of waterfowl staging in Nebraska","docAbstract":"A spring hunt was instituted in North America to reduce abundance of snow geese (Chen caerulescens) by increasing mortality of adults directly, yet disturbance from hunting activities can indirectly influence body condition and ultimately, reproductive success. We estimated effects of hunting disturbance by comparing body composition of snow geese and non-target species, greater white-fronted geese (Anser albifrons) and northern pintails (Anas acuta) collected in portions of south-central Nebraska that were open (eastern Rainwater Basin, ERB) and closed (western Rainwater Basin, WRB; and central Platte River Valley, CPRV) to snow goose hunting during springs 1998 and 1999. Lipid content of 170 snow geese was 25% (57 g) less in areas open to hunting compared to areas closed during hunting season but similar in all areas after hunting was concluded in the ERB. Protein content of snow geese was 3% (14 g) less in the region open to hunting. Greater white-fronted geese had 24% (76 g; n = 129) less lipids in the hunted portion of the study area during hunting season, and this difference persisted after conclusion of hunting season. We found little difference in lipid or protein content of northern pintails in relation to spring hunting. Indirect effects of spring hunting may be considered a collateral benefit regarding efforts to reduce overabundant snow goose populations. Disrupted nutrient storage observed in greater white-fronted geese represents an unintended consequence of spring hunting that has potential to adversely affect reproduction for this and other species of waterbirds staging in the region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/jwmg.389","usgsCitation":"Pearse, A.T., Krapu, G.L., and Cox, R.R., 2012, Spring snow goose hunting influences body composition of waterfowl staging in Nebraska: Journal of Wildlife Management, v. 76, no. 7, p. 1393-1400, https://doi.org/10.1002/jwmg.389.","productDescription":"8 p.","startPage":"1393","endPage":"1400","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":262778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262773,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.389","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","volume":"76","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-04-09","publicationStatus":"PW","scienceBaseUri":"508954e8e4b08c2511e77100","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":468406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krapu, Gary L. 0000-0001-8482-6130 gkrapu@usgs.gov","orcid":"https://orcid.org/0000-0001-8482-6130","contributorId":3074,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary","email":"gkrapu@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":468407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert R. Jr.","contributorId":6575,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040477,"text":"70040477 - 2012 - Puerto Rico and Florida manatees represent genetically distinct groups","interactions":[],"lastModifiedDate":"2012-11-14T15:29:08","indexId":"70040477","displayToPublicDate":"2012-10-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Puerto Rico and Florida manatees represent genetically distinct groups","docAbstract":"The West Indian manatee (Trichechus manatus) populations in Florida (T. m. latirostris) and Puerto Rico (T. m. manatus) are considered distinct subspecies and are listed together as endangered under the United States Endangered Species Act. Sustained management and conservation efforts for the Florida subspecies have led to the suggested reclassification of the species to a threatened or delisted status. However, the two populations are geographically distant, morphologically distinct, and habitat degradation and boat strikes continue to threaten the Puerto Rico population. Here, 15 microsatellite markers and mitochondrial control region sequences were used to determine the relatedness of the two populations and investigate the genetic diversity and phylogeographic organization of the Puerto Rico population. Highly divergent allele frequencies were identified between Florida and Puerto Rico using microsatellite (F ST = 0.16; R ST = 0.12 (P < 0.001)) and mitochondrial (F ST = 0.66; Φ ST = 0.50 (P < 0.001)) DNA. Microsatellite Bayesian cluster analyses detected two populations (K = 2) and no admixture or recent migrants between Florida (q = 0.99) and Puerto Rico (q = 0.98). The microsatellite genetic diversity values in Puerto Rico (HE = 0.45; NA = 3.9), were similar, but lower than those previously identified in Florida (HE = 0.48, NA = 4.8). Within Puerto Rico, the mitochondrial genetic diversity values (π = 0.001; h = 0.49) were slightly lower than those previously reported (π = 0.002; h = 0.54) and strong phylogeographic structure was identified (F ST global = 0.82; Φ ST global = 0.78 (P < 0.001)). The genetic division with Florida, low diversity, small population size (N = 250), and distinct threats and habitat emphasize the need for separate protections in Puerto Rico. Conservation efforts including threat mitigation, migration corridors, and protection of subpopulations could lead to improved genetic variation in the endangered Puerto Rico manatee population.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10592-012-0414-2","usgsCitation":"Hunter, M., Mignucci-Giannoni, A., Tucker, K.P., King, T.L., Bonde, R.K., Gray, B.A., and McGuire, P.M., 2012, Puerto Rico and Florida manatees represent genetically distinct groups: Conservation Genetics, v. 13, no. 6, p. 1623-1635, https://doi.org/10.1007/s10592-012-0414-2.","productDescription":"13 p.","startPage":"1623","endPage":"1635","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262782,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262772,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-012-0414-2","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Puerto Rico","state":"Florida","volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-07","publicationStatus":"PW","scienceBaseUri":"508954e0e4b08c2511e770fc","contributors":{"authors":[{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":468411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mignucci-Giannoni, Antonio A.","contributorId":53645,"corporation":false,"usgs":true,"family":"Mignucci-Giannoni","given":"Antonio A.","affiliations":[],"preferred":false,"id":468414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Kimberly Pause","contributorId":58008,"corporation":false,"usgs":true,"family":"Tucker","given":"Kimberly","email":"","middleInitial":"Pause","affiliations":[],"preferred":false,"id":468415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":468410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":468409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Brian A.","contributorId":47226,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468413,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, Peter M.","contributorId":45816,"corporation":false,"usgs":true,"family":"McGuire","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468412,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188070,"text":"70188070 - 2012 - Generation of a U.S. national urban land use product","interactions":[],"lastModifiedDate":"2022-04-12T16:38:09.324287","indexId":"70188070","displayToPublicDate":"2012-10-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Generation of a U.S. national urban land use product","docAbstract":"Characterization of urban land uses is essential for many applications. However, differentiating among thematically-detailed urban land uses (residential, commercial, industrial, institutional, recreational, etc.) over broad areas is challenging, in part because image-based solutions are not ideal for establishing the contextual basis for identifying economic function and use. At present no current United States national-scale mapping exists for urban land uses similar to the classical Anderson Level II classification. This paper describes a product that maps urban land uses, and is linked to and corresponds with the National Land Cover Database (NLCD) 2006. In this product, NLCD urban pixels, in addition to their current imperviousness intensity classification, are assigned one of nine urban use classes based on information drawn from multiple data sources. These sources include detailed infrastructure information, population characteristics, and historical land use. The result is a method for creating a 30 m national-scale grid providing thematically-detailed urban land use information which complements the NLCD. Initial results for 10 major metropolitan areas are provided as an on-line link. Accuracy assessment of initial products yielded an overall accuracy of 81.6 percent.
","language":"English","publisher":"American Society of Photogrammetry and Remote Sensing","doi":"10.14358/PERS.78.10.1057","usgsCitation":"Falcone, J.A., and Homer, C.G., 2012, Generation of a U.S. national urban land use product: Photogrammetric Engineering and Remote Sensing, v. 78, no. 10, p. 1057-1068, https://doi.org/10.14358/PERS.78.10.1057.","productDescription":"12 p.","startPage":"1057","endPage":"1068","ipdsId":"IP-034599","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":474294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.78.10.1057","text":"Publisher Index Page"},{"id":341854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dd3","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":173496,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":696388,"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":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696387,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039800,"text":"70039800 - 2012 - Sample design effects in landscape genetics","interactions":[],"lastModifiedDate":"2013-02-05T14:44:02","indexId":"70039800","displayToPublicDate":"2012-10-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Sample design effects in landscape genetics","docAbstract":"An important research gap in landscape genetics is the impact of different field sampling designs on the ability to detect the effects of landscape pattern on gene flow. We evaluated how five different sampling regimes (random, linear, systematic, cluster, and single study site) affected the probability of correctly identifying the generating landscape process of population structure. Sampling regimes were chosen to represent a suite of designs common in field studies. We used genetic data generated from a spatially-explicit, individual-based program and simulated gene flow in a continuous population across a landscape with gradual spatial changes in resistance to movement. Additionally, we evaluated the sampling regimes using realistic and obtainable number of loci (10 and 20), number of alleles per locus (5 and 10), number of individuals sampled (10-300), and generational time after the landscape was introduced (20 and 400). For a simulated continuously distributed species, we found that random, linear, and systematic sampling regimes performed well with high sample sizes (>200), levels of polymorphism (10 alleles per locus), and number of molecular markers (20). The cluster and single study site sampling regimes were not able to correctly identify the generating process under any conditions and thus, are not advisable strategies for scenarios similar to our simulations. Our research emphasizes the importance of sampling data at ecologically appropriate spatial and temporal scales and suggests careful consideration for sampling near landscape components that are likely to most influence the genetic structure of the species. In addition, simulating sampling designs a priori could help guide filed data collection efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10592-012-0415-1","usgsCitation":"Oyler-McCance, S.J., Fedy, B.C., and Landguth, E.L., 2012, Sample design effects in landscape genetics: Conservation Genetics, 11 p., https://doi.org/10.1007/s10592-012-0415-1.","productDescription":"11 p.","ipdsId":"IP-040619","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":267043,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-012-0415-1"},{"id":267045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2012-10-09","publicationStatus":"PW","scienceBaseUri":"5112384fe4b0ebe69d7eb74c","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":466943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fedy, Bradley C.","contributorId":64080,"corporation":false,"usgs":true,"family":"Fedy","given":"Bradley","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landguth, Erin L.","contributorId":69002,"corporation":false,"usgs":true,"family":"Landguth","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":466945,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040465,"text":"ofr20121117 - 2012 - Constraining the location of the Archean--Proterozoic suture in the Great Basin based on magnetotelluric soundings","interactions":[],"lastModifiedDate":"2012-10-24T17:16:13","indexId":"ofr20121117","displayToPublicDate":"2012-10-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1117","title":"Constraining the location of the Archean--Proterozoic suture in the Great Basin based on magnetotelluric soundings","docAbstract":"It is important to understand whether major mining districts in north-central Nevada are underlain by Archean crust, known to contain major orogenic gold deposits, or, alternatively, by accreted crust of the Paleoproterozoic Mojave province. Determining the location and orientation of the Archean-Proterozoic suture zone between the Archean crust and Mojave province is also critical because it may influence subsequent patterns of sedimentation, deformation, magmatism, and hydrothermal activity. In the Great Basin, the attitude of the suture zone is unknown because it is concealed below cover. A regional magnetotelluric sounding profile along the Utah-Nevada State line reveals a deeply penetrating, broad electrical conductor that may be the Archean-Proterozoic suture zone in the northwest corner of Utah. This major crustal conductor's strike direction is northwest, where it broadens to about 80 km wide below about 3-km depth. These results suggest that the southwestern limit of intact Archean crust in this part of the Great Basin is farther north than previously reported. These results also suggest that the major gold belts in north-central Nevada are located over the Paleoproterozoic Mojave province, and the Archean terrain lies northeast in the northwest corner of Utah. Rifted Archean crust segments south and west of the suture suggest that future mineral exploration northeast of current mineral trends may yield additional gold deposits.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121117","usgsCitation":"Rodriguez, B.D., and Sampson, J.A., 2012, Constraining the location of the Archean--Proterozoic suture in the Great Basin based on magnetotelluric soundings: U.S. Geological Survey Open-File Report 2012-1117, iv, 30 p.; col. ill.; map (col.), https://doi.org/10.3133/ofr20121117.","productDescription":"iv, 30 p.; col. ill.; map (col.)","startPage":"i","endPage":"30","numberOfPages":"34","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":262780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1117.gif"},{"id":262774,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1117/","linkFileType":{"id":5,"text":"html"}},{"id":262775,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1117/OF12-1117.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508954c5e4b08c2511e770f0","contributors":{"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":468384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468385,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040459,"text":"ofr20121207 - 2012 - Geophysical studies in the vicinity of Blue Mountain and Pumpernickel Valley near Winnemucca, north-central Nevada","interactions":[],"lastModifiedDate":"2023-06-22T15:35:38.766434","indexId":"ofr20121207","displayToPublicDate":"2012-10-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1207","title":"Geophysical studies in the vicinity of Blue Mountain and Pumpernickel Valley near Winnemucca, north-central Nevada","docAbstract":"From May 2008 to September 2009, the U.S. Geological Survey (USGS) collected data from more than 660 gravity stations, 100 line-km of truck-towed magnetometer traverses, and 260 physical-property sites in the vicinity of Blue Mountain and Pumpernickel Valley, northern Nevada (fig. 1). Gravity, magnetic, and physical-property data were collected to study regional crustal structures as an aid to understanding the geologic framework of the Blue Mountain and Pumpernickel Valley areas, which in general, have implications for mineral- and geothermal-resource investigations throughout the Great Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121207","usgsCitation":"Ponce, D.A., 2012, Geophysical studies in the vicinity of Blue Mountain and Pumpernickel Valley near Winnemucca, north-central Nevada: U.S. Geological Survey Open-File Report 2012-1207, Report: vi, 14 p.; Metadata; 3 Tables, https://doi.org/10.3133/ofr20121207.","productDescription":"Report: vi, 14 p.; Metadata; 3 Tables","onlineOnly":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":262758,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1207.bmp"},{"id":262755,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1207/","linkFileType":{"id":5,"text":"html"}},{"id":262756,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1207/of2012-1207.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Nevada","city":"Winnemucca","otherGeospatial":"Blue Mountain, Pumpernickel Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.75,\n 41.30\n ],\n [\n -118.75,\n 40.6667\n ],\n [\n -117,\n 40.6667\n ],\n [\n -117,\n 41.30\n ],\n [\n -118.75,\n 41.30\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50884500e4b0a0cec3e5b5c1","contributors":{"authors":[{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":468377,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040451,"text":"70040451 - 2012 - A risk-based approach to evaluating wildlife demographics for management in a changing climate: A case study of the Lewis's Woodpecker","interactions":[],"lastModifiedDate":"2012-12-18T16:22:40","indexId":"70040451","displayToPublicDate":"2012-10-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A risk-based approach to evaluating wildlife demographics for management in a changing climate: A case study of the Lewis's Woodpecker","docAbstract":"Given the projected threat that climate change poses to biodiversity, the need for proactive response efforts is clear. However, integrating uncertain climate change information into conservation planning is challenging, and more explicit guidance is needed. To this end, this article provides a specific example of how a risk-based approach can be used to incorporate a species' response to climate into conservation decisions. This is shown by taking advantage of species' response (i.e., impact) models that have been developed for a well-studied bird species of conservation concern. Specifically, we examine the current and potential impact of climate on nest survival of the Lewis's Woodpecker (Melanerpes lewis) in two different habitats. To address climate uncertainty, climate scenarios are developed by manipulating historical weather observations to create ensembles (i.e., multiple sequences of daily weather) that reflect historical variability and potential climate change. These ensembles allow for a probabilistic evaluation of the risk posed to Lewis's Woodpecker nest survival and are used in two demographic analyses. First, the relative value of each habitat is compared in terms of nest survival, and second, the likelihood of exceeding a critical population threshold is examined. By embedding the analyses in a risk framework, we show how management choices can be made to be commensurate with a defined level of acceptable risk. The results can be used to inform habitat prioritization and are discussed in the context of an economic framework for evaluating trade-offs between management alternatives.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00267-012-9953-z","usgsCitation":"Towler, E., Saab, V.A., Sojda, R.S., Dickinson, K., Bruyere, C.L., and Newlon, K.R., 2012, A risk-based approach to evaluating wildlife demographics for management in a changing climate: A case study of the Lewis's Woodpecker: Environmental Management, v. 50, no. 6, p. 1152-1163, https://doi.org/10.1007/s00267-012-9953-z.","productDescription":"12 p.","startPage":"1152","endPage":"1163","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":474296,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-012-9953-z","text":"Publisher Index Page"},{"id":262765,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262761,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-012-9953-z"}],"country":"United States","state":"Idaho","county":"Boise","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.29542,43.580797 ], [ -116.29542,44.354934 ], [ -114.951088,44.354934 ], [ -114.951088,43.580797 ], [ -116.29542,43.580797 ] ] ] } } ] }","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-16","publicationStatus":"PW","scienceBaseUri":"508844d4e4b0a0cec3e5b5b1","contributors":{"authors":[{"text":"Towler, Erin","contributorId":92904,"corporation":false,"usgs":true,"family":"Towler","given":"Erin","affiliations":[],"preferred":false,"id":468351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saab, Victoria A.","contributorId":82963,"corporation":false,"usgs":true,"family":"Saab","given":"Victoria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":468346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dickinson, Katherine","contributorId":28111,"corporation":false,"usgs":true,"family":"Dickinson","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":468348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bruyere, Cindy L.","contributorId":11047,"corporation":false,"usgs":true,"family":"Bruyere","given":"Cindy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newlon, Karen R.","contributorId":45562,"corporation":false,"usgs":true,"family":"Newlon","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468349,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040454,"text":"70040454 - 2012 - Reoccupation of floodplains by rivers and its relation to the age structure of floodplain vegetation","interactions":[],"lastModifiedDate":"2012-10-23T17:16:13","indexId":"70040454","displayToPublicDate":"2012-10-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Reoccupation of floodplains by rivers and its relation to the age structure of floodplain vegetation","docAbstract":"River channel dynamics over many decades provide a physical control on the age structure of floodplain vegetation as a river occupies and abandons locations. Floodplain reoccupation by a river, in particular, determines the interval of time during which vegetation can establish and mature. A general framework for analyzing floodplain reoccupation and a time series model are developed and applied to five alluvial rivers in the United States. Channel dynamics in these rivers demonstrate time-scale dependence with short-term oscillation in active channel area in response to floods and subsequent vegetation growth and progressive lateral movement that accounts for much of the cumulative area occupied by the rivers over decades. Rivers preferentially reoccupy locations recently abandoned causing a decreasing probability of reoccupation with time since abandonment. For a typical case, a river is 10 times more likely to reoccupy an area it abandoned in the past decade than it is to reoccupy an area it abandoned 30 yrs ago. The decreasing probability of reoccupation over time is consistent with observations of persistent stands of late seral stage floodplain forest. A power function provides a robust approach for estimating the cumulative area occupied by a river and the age structure of riparian forests resulting from a specific historical sequence of streamflow in comparison to either linear or exponential alternatives.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union (AGU)","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JG001906","usgsCitation":"Konrad, C.P., 2012, Reoccupation of floodplains by rivers and its relation to the age structure of floodplain vegetation: Journal of Geophysical Research, 15 p., https://doi.org/10.1029/2011JG001906.","productDescription":"15 p.","numberOfPages":"15","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":474301,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jg001906","text":"Publisher Index Page"},{"id":262759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262757,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JG001906"}],"country":"United States","edition":"117","noUsgsAuthors":false,"publicationDate":"2012-10-17","publicationStatus":"PW","scienceBaseUri":"50884508e4b0a0cec3e5b5c5","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468352,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040449,"text":"70040449 - 2012 - Bathymetric controls on sediment transport in the Hudson River estuary: Lateral asymmetry and frontal trapping","interactions":[],"lastModifiedDate":"2012-10-23T17:16:13","indexId":"70040449","displayToPublicDate":"2012-10-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Bathymetric controls on sediment transport in the Hudson River estuary: Lateral asymmetry and frontal trapping","docAbstract":"Analyses of field observations and numerical model results have identified that sediment transport in the Hudson River estuary is laterally segregated between channel and shoals, features frontal trapping at multiple locations along the estuary, and varies significantly over the spring-neap tidal cycle. Lateral gradients in depth, and therefore baroclinic pressure gradient and stratification, control the lateral distribution of sediment transport. Within the saline estuary, sediment fluxes are strongly landward in the channel and seaward on the shoals. At multiple locations, bottom salinity fronts form at bathymetric transitions in width or depth. Sediment convergences near the fronts create local maxima in suspended-sediment concentration and deposition, providing a general mechanism for creation of secondary estuarine turbidity maxima at bathymetric transitions. The lateral bathymetry also affects the spring-neap cycle of sediment suspension and deposition. In regions with broad, shallow shoals, the shoals are erosional and the channel is depositional during neap tides, with the opposite pattern during spring tides. Narrower, deeper shoals are depositional during neaps and erosional during springs. In each case, the lateral transfer is from regions of higher to lower bed stress, and depends on the elevation of the pycnocline relative to the bed. Collectively, the results indicate that lateral and along-channel gradients in bathymetry and thus stratification, bed stress, and sediment flux lead to an unsteady, heterogeneous distribution of sediment transport and trapping along the estuary rather than trapping solely at a turbidity maximum at the limit of the salinity intrusion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union (AGU)","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JC008124","usgsCitation":"Ralston, D., Geyer, W., and Warner, J., 2012, Bathymetric controls on sediment transport in the Hudson River estuary: Lateral asymmetry and frontal trapping: Journal of Geophysical Research, v. 117, no. 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Rockwell","affiliations":[],"preferred":false,"id":468344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":468343,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040464,"text":"ds722 - 2012 - Archive of single-beam bathymetry data collected during USGS cruise 07CCT01 nearshore of Fort Massachusetts and within Camille Cut, West and East Ship Islands, Gulf Islands National Seashore, Mississippi, July 2007","interactions":[],"lastModifiedDate":"2023-04-05T15:33:30.865762","indexId":"ds722","displayToPublicDate":"2012-10-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"722","title":"Archive of single-beam bathymetry data collected during USGS cruise 07CCT01 nearshore of Fort Massachusetts and within Camille Cut, West and East Ship Islands, Gulf Islands National Seashore, Mississippi, July 2007","docAbstract":"The Gulf Islands National Seashore (GUIS) is composed of a series of barrier islands along the Mississippi - Alabama coastline. Historically these islands have undergone long-term shoreline change. The devastation of Hurricane Katrina in 2005 prompted questions about the stability of the barrier islands and their potential response to future storm impacts. Additionally, there was concern from the National Park Service (NPS) about the preservation of the historical Fort Massachusetts, located on West Ship Island. During the early 1900s, Ship Island was an individual island. In 1969 Hurricane Camille breached Ship Island, widening the cut and splitting it into what is now known as West Ship Island and East Ship Island. In July of 2007, the U.S. Geological Survey (USGS) was able to provide the NPS with a small bathymetric survey of Camille Cut using high-resolution single-beam bathymetry. This provided GUIS with a post-Katrina assessment of the bathymetry in Camille Cut and along the northern shoreline directly in front of Fort Massachusetts. Ultimately, this survey became an initial bathymetry dataset toward a larger USGS effort included in the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility Project (http://ngom.usgs.gov/gomsc/mscip/). This report serves as an archive of the processed single-beam bathymetry. Data products herein include gridded and interpolated digital depth surfaces and x,y,z data products. Additional files include trackline maps, navigation files, geographic information system (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Scanned images of the handwritten FACS logs and digital FACS logs are also provided as PDF files. Refer to the Acronyms page for description of acronyms and abbreviations used in this report or hold the cursor over an acronym for a pop-up explanation. The USGS St. Petersburg Coastal and Marine Science Center assigns a unique identifier to each cruise or field activity. For example, 07CCT01 tells us the data were collected in 2007 for the Coastal Change and Transport (CCT) study and the data were collected during the first (01) field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID. Data were collected using a 26-foot (ft) Glacier Bay catamaran. The single-beam transducers were sled mounted on a rail attached between the catamaran hulls. Navigation was acquired using HYPACK, Inc., Hypack version 4.3a.7.1 and differentially corrected using land-based GPS stations. See the digital FACS equipment log for details about the acquisition equipment used. Raw datasets were stored digitally and processed systematically using NovAtel's Waypoint GrafNav version 7.6, SANDS version 3.7, and ESRI ArcGIS version 9.3.1. For more information on processing refer to the Equipment and Processing page.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds722","usgsCitation":"DeWitt, N.T., Flocks, J.G., Reynolds, B., and Hansen, M., 2012, Archive of single-beam bathymetry data collected during USGS cruise 07CCT01 nearshore of Fort Massachusetts and within Camille Cut, West and East Ship Islands, Gulf Islands National Seashore, Mississippi, July 2007: U.S. Geological Survey Data Series 722, HTML Document, https://doi.org/10.3133/ds722.","productDescription":"HTML Document","additionalOnlineFiles":"Y","costCenters":[{"id":187,"text":"Coastal and Marine Science Center","active":false,"usgs":true}],"links":[{"id":262768,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_722.jpg"},{"id":262767,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/722/html/","linkFileType":{"id":5,"text":"html"}},{"id":262766,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/722/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Mississippi","city":"Fort Massachusetts","otherGeospatial":"Camille Cut, Gulf Islands National Seashore, West And East Ship Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89,\n 30.2\n ],\n [\n -89,\n 30.25\n ],\n [\n -88.883333,\n 30.25\n ],\n [\n -88.883333,\n 30.2\n ],\n [\n -89,\n 30.2\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508844e7e4b0a0cec3e5b5b5","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":468381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":468380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":468382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Mark","contributorId":81893,"corporation":false,"usgs":true,"family":"Hansen","given":"Mark","affiliations":[],"preferred":false,"id":468383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007189,"text":"fs20123001 - 2012 - Decision-support systems for natural-hazards and land-management issues","interactions":[],"lastModifiedDate":"2012-10-23T17:16:13","indexId":"fs20123001","displayToPublicDate":"2012-10-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3001","title":"Decision-support systems for natural-hazards and land-management issues","docAbstract":"Scientists at the USGS Western Geographic Science Center are developing decision-support systems (DSSs) for natural-hazards and land-management issues. DSSs are interactive computer-based tools that use data and models to help identify and solve problems. These systems can provide crucial support to policymakers, planners, and communities for making better decisions about long-term natural hazards mitigation and land-use planning.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123001","collaboration":"Research at the USGS Western Geographic Science Center","usgsCitation":"Dinitz, L., Forney, W., and Byrd, K., 2012, Decision-support systems for natural-hazards and land-management issues: U.S. Geological Survey Fact Sheet 2012-3001, 2 p., https://doi.org/10.3133/fs20123001.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":262763,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3001.gif"},{"id":116370,"rank":0,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3001/","linkFileType":{"id":5,"text":"html"}},{"id":262762,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3001/fs2012-3001.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508844f8e4b0a0cec3e5b5bd","contributors":{"authors":[{"text":"Dinitz, Laura","contributorId":52330,"corporation":false,"usgs":true,"family":"Dinitz","given":"Laura","affiliations":[],"preferred":false,"id":356032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forney, William","contributorId":23509,"corporation":false,"usgs":true,"family":"Forney","given":"William","affiliations":[],"preferred":false,"id":356031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin","contributorId":82053,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","affiliations":[],"preferred":false,"id":356033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040448,"text":"sir20125081 - 2012 - South Fork Shenandoah River habitat-flow modeling to determine ecological and recreational characteristics during low-flow periods","interactions":[],"lastModifiedDate":"2012-10-22T17:16:26","indexId":"sir20125081","displayToPublicDate":"2012-10-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5081","title":"South Fork Shenandoah River habitat-flow modeling to determine ecological and recreational characteristics during low-flow periods","docAbstract":"The ecological habitat requirements of aquatic organisms and recreational streamflow requirements of the South Fork Shenandoah River were investigated by the U.S. Geological Survey in cooperation with the Central Shenandoah Valley Planning District Commission, the Northern Shenandoah Valley Regional Commission, and Virginia Commonwealth University. Physical habitat simulation modeling was conducted to examine flow as a major determinant of physical habitat availability and recreation suitability using field-collected hydraulic habitat variables such as water depth, water velocity, and substrate characteristics. Fish habitat-suitability criteria specific to the South Fork Shenandoah River were developed for sub-adult and adult smallmouth bass (Micropterus dolomieu), juvenile and sub-adult redbreast sunfish (Lepomis auritus), spotfin or satinfin shiner (Cyprinella spp), margined madtom (Noturus insignis),and river chub (Nocomis micropogon). Historic streamflow statistics for the summer low-flow period during July, August, and September were used as benchmark low-flow conditions and compared to habitat simulation results and water-withdrawal scenarios based on 2005 withdrawal data. \r\nTo examine habitat and recreation characteristics during droughts, daily fish habitat or recreation suitability values were simulated for 2002 and other selected drought years. Recreation suitability during droughts was extremely low, because the modeling demonstrated that suitable conditions occur when the streamflows are greater than the 50th percentile flow for July, August, and September. Habitat availability for fish is generally at a maximum when streamflows are between the 75th and 25th percentile flows for July, August, and September. Time-series results for drought years, such as 2002, showed that extreme low-flow conditions less than the 5th percentile of flow for July, August, and September corresponded to below-normal habitat availability for both game and nongame fish in the upper section of the river. For the middle section near Luray, margined madtom and river chub habitat area were below normal, whereas adult and sub-adult smallmouth bass habitat area remained near the median expected available habitat. In the lower section near Front Royal, time-series results for adult smallmouth bass, sub-adult smallmouth bass, and margined madtom habitat were below normal when streamflows were below the 10th percentile flow for July, August, and September. All other species of fish had habitat availability within the normal range for July, August, and September. \r\nWater-conservation scenarios representing a 50 percent water-withdrawal reduction resulted in game fish habitat availability within the normal range for habitat in upper and middle river sections, instead of below normal conditions which were observed during the 2002 drought. The 50 percent water-withdrawal reduction had no measurable effect on recreation. For nongame fish such as river chub, a 20 percent withdrawal reduction resulted in habitat availability within the normal range for habitat in the upper and middle river sections. Increased water-use scenarios representing a 5 percent increase in water withdrawals resulted in a slight reduction in habitat availability; however, increased withdrawals of 20 and 50 percent resulted in habitat availability substantially less than the 25th habitat percentile, or below normal. Habitat reductions were more pronounced when flows were lower than the 10th percentile flow for July, August, and September. \r\nThe results show that for normal or wet years, increased water withdrawals are not likely to correspond with extensive habitat loss for game fish or nongame fish. During drought years, however, a 20 to 50 percent increase in water withdrawals may result in below normal habitat availability for game fish throughout the river and nongame fish in the upper and middle sections of the river. These simulations of rare historic drought conditions, such as those observed in 2002, serve as a baseline for development of ecological flow thresholds for drought planning.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125081","collaboration":"Prepared in cooperation with the Northern Shenandoah Valley Regional Commission, Central Shenandoah Valley Planning District Commission, and Virginia Commonwealth University","usgsCitation":"Krstolic, J.L., and Ramey, R.C., 2012, South Fork Shenandoah River habitat-flow modeling to determine ecological and recreational characteristics during low-flow periods: U.S. Geological Survey Scientific Investigations Report 2012-5081, x, 63 p., https://doi.org/10.3133/sir20125081.","productDescription":"x, 63 p.","numberOfPages":"78","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":262752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5081.gif"},{"id":262743,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5081/","linkFileType":{"id":5,"text":"html"}},{"id":262744,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5081/pdf/sir2012-5081.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Virginia;West Virginia","county":"Augusta","city":"Lynwood;Front Royal;Luray","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.4652,37.8018 ], [ -79.4652,39.5081 ], [ -77.7355,39.5081 ], [ -77.7355,37.8018 ], [ -79.4652,37.8018 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50866d1be4b0a1435286d65a","contributors":{"authors":[{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, R. Clay","contributorId":98161,"corporation":false,"usgs":true,"family":"Ramey","given":"R.","email":"","middleInitial":"Clay","affiliations":[],"preferred":false,"id":468342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038541,"text":"70038541 - 2012 - Tagging and movement of sirenians","interactions":[],"lastModifiedDate":"2012-10-30T16:17:44","indexId":"70038541","displayToPublicDate":"2012-10-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tagging and movement of sirenians","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sirenian conservation: Issues and strategies in developing countries","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University Press of Florida","publisherLocation":"Gainesville, FL","usgsCitation":"Marmontel, M., Reid, J., Sheppard, J.K., and Morales-Vela, B., 2012, Tagging and movement of sirenians, chap. of Sirenian conservation: Issues and strategies in developing countries, p. 116-125.","productDescription":"Chapter 13: 10 p.","startPage":"116","endPage":"125","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262754,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262753,"rank":9999,"type":{"id":1,"text":"Abstract"},"url":"https://www.upf.com/book.asp?id=HINESS08","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50866d30e4b0a1435286d662","contributors":{"editors":[{"text":"Hines, Ellen","contributorId":111908,"corporation":false,"usgs":true,"family":"Hines","given":"Ellen","affiliations":[],"preferred":false,"id":508984,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Reynolds, John E. III","contributorId":72515,"corporation":false,"usgs":true,"family":"Reynolds","given":"John E.","suffix":"III","affiliations":[],"preferred":false,"id":508982,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Aragones, Lemnuel","contributorId":112045,"corporation":false,"usgs":true,"family":"Aragones","given":"Lemnuel","affiliations":[],"preferred":false,"id":508985,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Mignucci-Giannoni, Antonio","contributorId":82201,"corporation":false,"usgs":true,"family":"Mignucci-Giannoni","given":"Antonio","affiliations":[],"preferred":false,"id":508983,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Marmontel, Miriam","contributorId":66950,"corporation":false,"usgs":true,"family":"Marmontel","given":"Miriam","email":"","affiliations":[],"preferred":false,"id":508981,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Marmontel, Miriam","contributorId":66950,"corporation":false,"usgs":true,"family":"Marmontel","given":"Miriam","email":"","affiliations":[],"preferred":false,"id":464535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, James","contributorId":13749,"corporation":false,"usgs":true,"family":"Reid","given":"James","affiliations":[],"preferred":false,"id":464533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheppard, James K.","contributorId":76982,"corporation":false,"usgs":true,"family":"Sheppard","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":464536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morales-Vela, Benjamin","contributorId":30495,"corporation":false,"usgs":false,"family":"Morales-Vela","given":"Benjamin","email":"","affiliations":[{"id":13524,"text":"El Colegio de la Frontera Sur, Quintana Roo, Mexico","active":true,"usgs":false}],"preferred":false,"id":464534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040186,"text":"70040186 - 2012 - Geomyces destructans -- White-nose syndrome in hibernating bats","interactions":[],"lastModifiedDate":"2023-10-17T10:54:30.22832","indexId":"70040186","displayToPublicDate":"2012-10-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geomyces destructans -- White-nose syndrome in hibernating bats","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Infectious diseases of wild mammals and birds in Europe","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781118342442.ch40","usgsCitation":"Meteyer, C.U., and Wibbelt, G., 2012, Geomyces destructans -- White-nose syndrome in hibernating bats, chap. of Infectious diseases of wild mammals and birds in Europe, p. 473-475, https://doi.org/10.1002/9781118342442.ch40.","productDescription":"3 p.","startPage":"473","endPage":"475","ipdsId":"IP-025540","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":262750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States;Canada;Belgium;Czech Republic;Estonia;France;Germany;Hungary;Poland;Switzerland;Slovakia;The Netherlands;Ukraine","otherGeospatial":"Europe;North America","noUsgsAuthors":false,"publicationDate":"2012-07-30","publicationStatus":"PW","scienceBaseUri":"50866d13e4b0a1435286d656","contributors":{"editors":[{"text":"Gavier-Widen, Dolores","contributorId":112623,"corporation":false,"usgs":true,"family":"Gavier-Widen","given":"Dolores","email":"","affiliations":[],"preferred":false,"id":509057,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Duff, J. Paul","contributorId":113593,"corporation":false,"usgs":true,"family":"Duff","given":"J.","email":"","middleInitial":"Paul","affiliations":[],"preferred":false,"id":509058,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Meredith, Anna","contributorId":114018,"corporation":false,"usgs":true,"family":"Meredith","given":"Anna","email":"","affiliations":[],"preferred":false,"id":509059,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":111,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":467840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wibbelt, Gudrun","contributorId":72640,"corporation":false,"usgs":true,"family":"Wibbelt","given":"Gudrun","affiliations":[],"preferred":false,"id":467841,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038540,"text":"70038540 - 2012 - Techniques for determining the food habits of sirenians","interactions":[],"lastModifiedDate":"2012-10-30T16:17:44","indexId":"70038540","displayToPublicDate":"2012-10-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Techniques for determining the food habits of sirenians","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sirenian conservation: Issues and strategies in developing countries","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University Press of Florida","publisherLocation":"Gainesville, FL","usgsCitation":"Beck, C.A., and Clementz, M.T., 2012, Techniques for determining the food habits of sirenians, chap. of Sirenian conservation: Issues and strategies in developing countries, p. 126-132.","productDescription":"Chapter 14: 7 p.","startPage":"126","endPage":"132","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262749,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262747,"rank":9999,"type":{"id":1,"text":"Abstract"},"url":"https://www.upf.com/book.asp?id=HINESS08","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50866d38e4b0a1435286d666","contributors":{"editors":[{"text":"Hines, Ellen","contributorId":111908,"corporation":false,"usgs":true,"family":"Hines","given":"Ellen","affiliations":[],"preferred":false,"id":508979,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Reynolds, John E. III","contributorId":72515,"corporation":false,"usgs":true,"family":"Reynolds","given":"John E.","suffix":"III","affiliations":[],"preferred":false,"id":508977,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Aragones, Lemnuel","contributorId":112045,"corporation":false,"usgs":true,"family":"Aragones","given":"Lemnuel","affiliations":[],"preferred":false,"id":508980,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Mignucci-Giannoni, Antonio","contributorId":82201,"corporation":false,"usgs":true,"family":"Mignucci-Giannoni","given":"Antonio","affiliations":[],"preferred":false,"id":508978,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Marmontel, Miriam","contributorId":66950,"corporation":false,"usgs":true,"family":"Marmontel","given":"Miriam","email":"","affiliations":[],"preferred":false,"id":508976,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Beck, Cathy A. 0000-0002-5388-5418 cbeck@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-5418","contributorId":2919,"corporation":false,"usgs":true,"family":"Beck","given":"Cathy","email":"cbeck@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":464531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clementz, Mark T.","contributorId":67348,"corporation":false,"usgs":true,"family":"Clementz","given":"Mark","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":464532,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046829,"text":"70046829 - 2012 - Coupling at Mauna Loa and Kīlauea by stress transfer in an asthenospheric melt layer","interactions":[],"lastModifiedDate":"2020-07-28T15:45:39.077183","indexId":"70046829","displayToPublicDate":"2012-10-21T11:34:33","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Coupling at Mauna Loa and Kīlauea by stress transfer in an asthenospheric melt layer","docAbstract":"The eruptive activity at the neighbouring Hawaiian volcanoes, Kīlauea and Mauna Loa, is thought to be linked despite both having separate lithospheric magmatic plumbing systems. Over the past century, activity at the two volcanoes has been anti-correlated, which could reflect a competition for the same magma supply. Yet, during the past decade Kīlauea and Mauna Loa have inflated simultaneously. Linked activity between adjacent volcanoes in general remains controversial. Here we present a numerical model for the dynamical interaction between Kīlauea and Mauna Loa, where both volcanoes are coupled by pore-pressure diffusion, occurring within a common, asthenospheric magma supply system. The model is constrained by measurements of gas emission rates indicative of eruptive activity, and it is calibrated to match geodetic measurements of surface deformation at both volcanoes, inferred to reflect changes in shallow magma storage. Although an increase in the asthenospheric magma supply can cause simultaneous inflation of Kīlauea and Mauna Loa, we find that eruptive activity at one volcano may inhibit eruptions of the adjacent volcano, if there is no concurrent increase in magma supply. We conclude that dynamic stress transfer by asthenospheric pore pressure is a viable mechanism for volcano coupling at Hawai‘i, and perhaps for adjacent volcanoes elsewhere.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo1612","usgsCitation":"Gonnermann, H.M., Foster, J.H., Poland, M., Wolfe, C.J., Brooks, B.A., and Miklius, A., 2012, Coupling at Mauna Loa and Kīlauea by stress transfer in an asthenospheric melt layer: Nature Geoscience, v. 5, p. 826-829, https://doi.org/10.1038/ngeo1612.","productDescription":"4 p.","startPage":"826","endPage":"829","ipdsId":"IP-031796","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":274916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea and Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.68701171875,\n 18.750309813140653\n ],\n [\n -154.1162109375,\n 18.750309813140653\n ],\n [\n -154.1162109375,\n 20.46818922264095\n ],\n [\n -156.68701171875,\n 20.46818922264095\n ],\n [\n -156.68701171875,\n 18.750309813140653\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2012-10-21","publicationStatus":"PW","scienceBaseUri":"51e12563e4b02f5cae2b7372","contributors":{"authors":[{"text":"Gonnermann, Helge M.","contributorId":48465,"corporation":false,"usgs":false,"family":"Gonnermann","given":"Helge","email":"","middleInitial":"M.","affiliations":[{"id":35613,"text":"Department of Earth Science, Rice University, Houston, TX 77005","active":true,"usgs":false}],"preferred":false,"id":480397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, James H.","contributorId":107993,"corporation":false,"usgs":true,"family":"Foster","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":480398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":47044,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[],"preferred":false,"id":480396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, Cecily J.","contributorId":29294,"corporation":false,"usgs":true,"family":"Wolfe","given":"Cecily","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":480394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miklius, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":215615,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480393,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173604,"text":"70173604 - 2012 - Summer temperature metrics for predicting brook trout (Salvelinus fontinalis) distribution in streams","interactions":[],"lastModifiedDate":"2016-06-09T15:03:20","indexId":"70173604","displayToPublicDate":"2012-10-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Summer temperature metrics for predicting brook trout (Salvelinus fontinalis) distribution in streams","docAbstract":"We developed a methodology to predict brook trout (Salvelinus fontinalis) distribution using summer temperature metrics as predictor variables. Our analysis used long-term fish and hourly water temperature data from the Dog River, Vermont (USA). Commonly used metrics (e.g., mean, maximum, maximum 7-day maximum) tend to smooth the data so information on temperature variation is lost. Therefore, we developed a new set of metrics (called event metrics) to capture temperature variation by describing the frequency, area, duration, and magnitude of events that exceeded a user-defined temperature threshold. We used 16, 18, 20, and 22°C. We built linear discriminant models and tested and compared the event metrics against the commonly used metrics. Correct classification of the observations was 66% with event metrics and 87% with commonly used metrics. However, combined event and commonly used metrics correctly classified 92%. Of the four individual temperature thresholds, it was difficult to assess which threshold had the “best” accuracy. The 16°C threshold had slightly fewer misclassifications; however, the 20°C threshold had the fewest extreme misclassifications. Our method leveraged the volumes of existing long-term data and provided a simple, systematic, and adaptable framework for monitoring changes in fish distribution, specifically in the case of irregular, extreme temperature events.
","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10750-012-1336-1","usgsCitation":"Parrish, D.L., Butryn, R.S., and Rizzo, D.M., 2012, Summer temperature metrics for predicting brook trout (Salvelinus fontinalis) distribution in streams: Hydrobiologia, v. 703, no. 1, p. 47-57, https://doi.org/10.1007/s10750-012-1336-1.","productDescription":"11 p.","startPage":"47","endPage":"57","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024699","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"703","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-20","publicationStatus":"PW","scienceBaseUri":"575a9337e4b04f417c27518a","contributors":{"authors":[{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butryn, Ryan S.","contributorId":87042,"corporation":false,"usgs":true,"family":"Butryn","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rizzo, Donna M.","contributorId":171679,"corporation":false,"usgs":false,"family":"Rizzo","given":"Donna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040429,"text":"70040429 - 2012 - The 11 April 2012 east Indian Ocean earthquake triggered large aftershocks worldwide","interactions":[],"lastModifiedDate":"2012-10-19T17:16:26","indexId":"70040429","displayToPublicDate":"2012-10-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The 11 April 2012 east Indian Ocean earthquake triggered large aftershocks worldwide","docAbstract":"Large earthquakes trigger very small earthquakes globally during passage of the seismic waves and during the following several hours to days1, 2, 3, 4, 5, 6, 7, 8, 9, 10, but so far remote aftershocks of moment magnitude M≥5.5 have not been identified11, with the lone exception of an M=6.9 quake remotely triggered by the surface waves from an M=6.6 quake 4,800 kilometres away12. The 2012 east Indian Ocean earthquake that had a moment magnitude of 8.6 is the largest strike-slip event ever recorded. Here we show that the rate of occurrence of remote M≥5.5 earthquakes (>1,500 kilometres from the epicentre) increased nearly fivefold for six days after the 2012 event, and extended in magnitude to M≥7. These global aftershocks were located along the four lobes of Love-wave radiation; all struck where the dynamic shear strain is calculated to exceed 10-7 for at least 100 seconds during dynamic-wave passage. The other M≥8.5 mainshocks during the past decade are thrusts; after these events, the global rate of occurrence of remote M≥5.5 events increased by about one-third the rate following the 2012 shock and lasted for only two days, a weaker but possibly real increase. We suggest that the unprecedented delayed triggering power of the 2012 earthquake may have arisen because of its strike-slip source geometry or because the event struck at a time of an unusually low global earthquake rate, perhaps increasing the number of nucleation sites that were very close to failure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, U.K.","doi":"10.1038/nature11504","usgsCitation":"Pollitz, F., Stein, R.S., Sevilgen, V., and Burgmann, R., 2012, The 11 April 2012 east Indian Ocean earthquake triggered large aftershocks worldwide: Nature, v. 490, p. 250-253, https://doi.org/10.1038/nature11504.","productDescription":"4 p.","startPage":"250","endPage":"253","costCenters":[{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":262723,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262720,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature11504"}],"country":"Indonesia","otherGeospatial":"Indian Ocean;Sumatra","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 89.000000,-2.000000 ], [ 89.000000,6.000000 ], [ 99.000000,6.000000 ], [ 99.000000,-2.000000 ], [ 89.000000,-2.000000 ] ] ] } } ] }","volume":"490","noUsgsAuthors":false,"publicationDate":"2012-09-26","publicationStatus":"PW","scienceBaseUri":"50e4f705e4b0e8fec6ce7bfc","contributors":{"authors":[{"text":"Pollitz, Fred F.","contributorId":54029,"corporation":false,"usgs":true,"family":"Pollitz","given":"Fred F.","affiliations":[],"preferred":false,"id":468294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":468292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sevilgen, Volkan vsevilgen@usgs.gov","contributorId":3254,"corporation":false,"usgs":true,"family":"Sevilgen","given":"Volkan","email":"vsevilgen@usgs.gov","affiliations":[],"preferred":true,"id":468293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgmann, Roland","contributorId":95128,"corporation":false,"usgs":true,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":468295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040432,"text":"sir20105090E - 2012 - Sandstone copper assessment of the Chu-Sarysu Basin, Central Kazakhstan: Chapter E in Global mineral resource assessment","interactions":[{"subject":{"id":70040432,"text":"sir20105090E - 2012 - Sandstone copper assessment of the Chu-Sarysu Basin, Central Kazakhstan: Chapter E in Global mineral resource assessment","indexId":"sir20105090E","publicationYear":"2012","noYear":false,"chapter":"E","title":"Sandstone copper assessment of the Chu-Sarysu Basin, Central Kazakhstan: Chapter E in Global mineral resource assessment"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2015-06-19T11:13:59","indexId":"sir20105090E","displayToPublicDate":"2012-10-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"E","title":"Sandstone copper assessment of the Chu-Sarysu Basin, Central Kazakhstan: Chapter E in Global mineral resource assessment","docAbstract":"Mineral resource assessments represent a synthesis of available information to estimate the location, quality, and quantity of undiscovered mineral resources in the upper part of the Earth’s crust. This report presents a probabilistic mineral resource assessment of undiscovered sandstone copper deposits within the late Paleozoic Chu-Sarysu Basin in central Kazakhstan by the U.S. Geological Survey as a contribution to a global assessment of mineral resources. The purposes of this study are to: (1) provide a database of known sandstone copper deposits and significant prospects in this area, (2) delineate permissive areas (tracts) for undiscovered sandstone copper deposits within 2 km of the surface at a scale of 1:1,000,000, (3) estimate numbers of undiscovered deposits within these permissive tracts at several levels of confidence, and (4) provide probabilistic estimates of amounts of copper (Cu), silver (Ag), and mineralized rock that could be contained in undiscovered deposits within each tract. The assessment uses the three-part form of mineral resource assessment based on mineral deposit models (Singer, 1993; Singer and Menzie, 2010).
\nDelineation of permissive tracts for resources is based on the distribution of a Carboniferous oxidized nonmarine clastic (red bed) stratigraphic sequence that lies between overlying Permian and underlying Devonian evaporite-bearing sequences. Subsurface information on the extent and depth of this red bed sequence and structural features that divide the basin into sub-basins was used to define four permissive tracts. Structure contour maps, mineral occurrence databases, drill hole lithologic logs, geophysical maps, soil geochemical maps, locations of producing gas fields, and evidence for former gas accumulations were considered in conjunction with descriptive deposit models and grade and tonnage models to guide the assessment team’s estimates of undiscovered deposits in each tract.
\nThe four permissive tracts are structural sub-basins of the Chu-Sarysu Basin and range in size from 750 to 65,000 km². Probabilistic estimates of numbers of undiscovered sandstone copper deposits were made for the four tracts by a group of experts. Using these probabilistic estimates, Monte Carlo simulation was used to estimate the amount of metal contained within each tract. The results of the simulation serve as the basis for estimates of the metal endowment.
\nThe team estimates that 26 undiscovered deposits occur within the Chu-Sarysu Basin, and that these deposits contain an arithmetic mean of at least 21.5 million metric tons (Mt) of copper and 21,900 metric tons (t) of silver. The undiscovered deposits are in addition to the 7 known deposits that contain identified resources of 27.6 Mt of copper. Sixty percent of the estimated mean undiscovered copper resources are associated with the two permissive tracts that contain the identified resources; the remaining estimated resources are associated with the two tracts that have no known deposits. For the three tracts that contain 95 percent of the estimated undiscovered copper resources, the probability that each tract contains its estimated mean or more is about 40 percent. For the tract with 5 percent of the estimated undiscovered cop-per resources, the probability that it contains that amount or more is 25 percent.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090E","collaboration":"Prepared in cooperation with the Centre for Russian and Central EurAsian Mineral Studies—Natural History Museum, London, United Kingdom, and Mining and Economic Consulting, Ltd., Almaty, Kazakhstan","usgsCitation":"Box, S.E., Syusyura, B., Hayes, T.S., Taylor, C.D., Zientek, M.L., Hitzman, M., Seltmann, R., Chechetkin, V., Dolgopolova, A., Cossette, P.M., and Wallis, J., 2012, Sandstone copper assessment of the Chu-Sarysu Basin, Central Kazakhstan: Chapter E in Global mineral resource assessment: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vi, 63 p.; Metadata Folder; GIS Data, https://doi.org/10.3133/sir20105090E.","productDescription":"Report: vi, 63 p.; Metadata Folder; GIS Data","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":262731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5090_e.gif"},{"id":301359,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2010/5090/e/sir2010-5090e_metadata","size":"193 kB"},{"id":262724,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/e/"},{"id":262725,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/e/sir2010-5090e_text.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301360,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/e/sir2010-5090e_gis.zip","text":"GIS data zip package","size":"1.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"GIS data zip package"}],"projection":"Lambert Conformal Conic Projection","country":"Kazakhstan","otherGeospatial":"Chu-Sarysu Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5094ec01e4b0e5cfc2acdcf9","contributors":{"authors":[{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":514669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syusyura, Boris","contributorId":72104,"corporation":false,"usgs":true,"family":"Syusyura","given":"Boris","email":"","affiliations":[],"preferred":false,"id":514674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":514668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":514666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":514670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hitzman, Murray W.","contributorId":14682,"corporation":false,"usgs":true,"family":"Hitzman","given":"Murray W.","affiliations":[],"preferred":false,"id":514671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seltmann, Reimar","contributorId":73450,"corporation":false,"usgs":true,"family":"Seltmann","given":"Reimar","email":"","affiliations":[],"preferred":false,"id":514675,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chechetkin, Vladimir","contributorId":71821,"corporation":false,"usgs":true,"family":"Chechetkin","given":"Vladimir","affiliations":[],"preferred":false,"id":514673,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dolgopolova, Alla","contributorId":96943,"corporation":false,"usgs":true,"family":"Dolgopolova","given":"Alla","email":"","affiliations":[],"preferred":false,"id":514676,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":514667,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wallis, John C.","contributorId":45755,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","affiliations":[],"preferred":false,"id":514672,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70040406,"text":"sir20125115 - 2012 - Mercury in waters, soils, and sediments of the New Jersey Coastal Plain: A comparison of regional distribution and mobility with the mercury contamination at the William J. Hughes Technical Center, Atlantic County, New Jersey","interactions":[],"lastModifiedDate":"2012-10-18T17:16:15","indexId":"sir20125115","displayToPublicDate":"2012-10-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5115","title":"Mercury in waters, soils, and sediments of the New Jersey Coastal Plain: A comparison of regional distribution and mobility with the mercury contamination at the William J. Hughes Technical Center, Atlantic County, New Jersey","docAbstract":"Mercury in soils, surface water, and groundwater at the William J. Hughes Technical Center , Atlantic County, New Jersey, has been found at levels that exceed established background concentrations in Coastal Plain waters, and, in some cases, New Jersey State standards for mercury in various media. As of 2012, it is not known whether this mercury is part of regional mercury contamination or whether it is related to former military activities. Regionally, groundwater supplying about 700 domestic wells in the New Jersey Coastal Plain is contaminated with mercury that appears to be derived from anthropogenic inputs, such as agricultural pesticide use and atmospheric deposition. High levels of mercury occasionally are found in Coastal Plain soils, but disturbance during residential development on former agricultural land is thought to have mobilized any mercury applied during farming, a hypothesis borne out by experiments leaching mercury from soils. In the unsewered residential areas with mercury-contaminated groundwater, septic-system effluent is believed to create reducing conditions in which mercury sorbed to subsoils is mobilized to groundwater. In comparing the levels of mercury found in soils, sediments, streamwater, and groundwater at the William J. Hughes Technical Center site with those found regionally, mercury concentrations in groundwater in the region are, in some cases, substantially higher than those found in groundwater at the William J. Hughes Technical Center site. Nevertheless, concentrations of mercury in streamwater at the site are, in some instances, higher than most found regionally. The mercury contents in soils and sediment at the William J. Hughes Technical Center site are substantially higher than those found to date (2012) in the region, indicating that a source other than regional sources may be present at the site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125115","collaboration":"Prepared in Cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Barringer, J., Szabo, Z., and Reilly, P.A., 2012, Mercury in waters, soils, and sediments of the New Jersey Coastal Plain: A comparison of regional distribution and mobility with the mercury contamination at the William J. Hughes Technical Center, Atlantic County, New Jersey: U.S. Geological Survey Scientific Investigations Report 2012-5115, vii, 34 p., https://doi.org/10.3133/sir20125115.","productDescription":"vii, 34 p.","numberOfPages":"46","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":262714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5115.bmp"},{"id":262712,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5115/pdf/sir2012-5115.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262711,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5115/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 18","datum":"North American Datum of 1983","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.559800,38.928600 ], [ -75.559800,41.357400 ], [ -73.902500,41.357400 ], [ -73.902500,38.928600 ], [ -75.559800,38.928600 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508117cbe4b00e5d41d20a80","contributors":{"authors":[{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":468285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":468284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468283,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040405,"text":"ofr20121187 - 2012 - Preliminary assessment of channel stability and bed-material transport in the Tillamook Bay tributaries and Nehalem River basin, northwestern Oregon","interactions":[],"lastModifiedDate":"2019-04-25T10:08:31","indexId":"ofr20121187","displayToPublicDate":"2012-10-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1187","title":"Preliminary assessment of channel stability and bed-material transport in the Tillamook Bay tributaries and Nehalem River basin, northwestern Oregon","docAbstract":"This report summarizes a preliminary study of bed-material transport, vertical and lateral channel changes, and existing datasets for the Tillamook (drainage area 156 square kilometers [km2]), Trask (451 km2), Wilson (500 km2), Kilchis (169 km2), Miami (94 km2), and Nehalem (2,207 km2) Rivers along the northwestern Oregon coast. This study, conducted in coopera-tion with the U.S. Army Corps of Engineers and Oregon Department of State Lands to inform permitting decisions regarding instream gravel mining, revealed that:
Study areas along the six rivers can be divided into reaches based on tidal influence and topography. The fluvial (nontidal or dominated by riverine processes) reaches vary in length (2.4-9.3 kilometer [km]), gradient (0.0011-0.0075 meter of elevation change per meter of channel length [m/m]), and bed-material composition (a mixture of alluvium and intermittent bedrock outcrops to predominately alluvium). In fluvial reaches, unit bar area (square meter of bar area per meter of channel length [m2/m]) as mapped from 2009 photographs ranged from 7.1 m2/m on the Tillamook River to 27.9 m2/m on the Miami River.
In tidal reaches, all six rivers flow over alluvial deposits, but have varying gradients (0.0001-0.0013 m/m) and lengths affected by tide (1.3-24.6 km). The Miami River has the steepest and shortest tidal reach and the Nehalem River has the flattest and longest tidal reach. Bars in the tidal reaches are generally composed of sand and mud. Unit bar area was greatest in the Tidal Nehalem Reach, where extensive mud flats flank the lower channel.
Background factors such as valley and channel confinement, basin geology, channel slope, and tidal extent control the spatial variation in the accumulation and texture of bed material. Presently, the Upper Fluvial Wilson and Miami Reaches and Fluvial Nehalem Reach have the greatest abundance of gravel bars, likely owing to local bed-material sources in combination with decreasing channel gradient and valley confinement.
Natural and human-caused disturbances such as mass movements, logging, fire, channel modifications for navigation and flood control, and gravel mining also have varying effects on channel condition, bed-material transport, and distribution and area of bars throughout the study areas and over time.
Existing datasets include at least 16 and 18 sets of aerial and orthophotographs that were taken of the study areas in the Tillamook Bay tributary basins and Nehalem River basin, respectively, from 1939 to 2011. These photographs are available for future assessments of long-term changes in channel condition, bar area, and vegetation establishment patterns. High resolution Light Detection And Ranging (LiDAR) surveys acquired in 2007-2009 could support future quantitative analyses of channel morphology and bed-material transport in all study areas.
A review of deposited and mined gravel volumes reported for instream gravel mining sites shows that bed-material deposition tends to rebuild mined bar surfaces in most years. Mean annual deposition volumes on individual bars exceeded 3,000 cubic meters (m3) on Donaldson Bar on the Wilson River, Dill Bar on the Kilchis River, and Plant and Winslow Bars on the Nehalem River. Cumulative reported volumes of bed-material deposition were greatest at Donaldson and Dill Bars, totaling over 25,000 m3 per site from 2004 to 2011. Within this period, reported cumulative mined volumes were greatest for the Donaldson, Plant, and Winslow Bars, ranging from 24,470 to 33,940 m3.
Analysis of historical stage-streamflow data collected by the U.S. Geological Survey on the Wilson River near Tillamook (14301500) and Nehalem River near Foss (14301000) shows that these rivers have episodically aggraded and incised, mostly following high flow events, but they do not exhibit systematic, long-term trends in bed elevation.
Multiple cross sections show that channels near bridge crossings in all six study areas are dynamic with many subject to incision and aggradation as well as lateral shifts in thalweg position and bank deposition and erosion.
In fluvial reaches, unit bar area declined a net 5.3-83.6 percent from 1939 to 2009. The documented reduction in bar area may be attributable to several factors, including vegetation establishment and stabilization of formerly active bar surfaces, lateral channel changes and resulting alterations in sediment deposition and erosion patterns, and streamflow and/or tide differences between photographs. Other factors that may be associated with the observed reduction in bar area but not assessed in this reconnaissance level study include changes in the sediment and hydrology regimes of these rivers over the analysis period.
In tidal reaches, unit bar area increased on the Tillamook and Nehalem Rivers (98.0 and 14.7 percent, respectively), but declined a net 24.2 to 83.1 percent in the other four tidal reaches. Net increases in bar area in the Tidal Tillamook and Nehalem Reaches were possibly attributable to tidal differences between the photographs as well as sediment deposition behind log booms and pile structures on the Tillamook River between 1939 and 1967.
The armoring ratio (ratio of the median grain sizes of a bar's surface and subsurface layers) was 1.6 at Lower Waldron Bar on the Miami River, tentatively indicating a relative balance between transport capacity and sediment supply at this location. Armoring ratios, however, ranged from 2.4 to 5.5 at sites on the Trask, Wilson, Kilchis, and Nehalem Rivers; these coarse armor layers probably reflect limited bed-material supply at these sites.
On the basis of mapping results, measured armoring ratios, and channel cross section surveys, preliminary conclusions are that the fluvial reaches on the Tillamook, Trask, Kilchis, and Nehalem Rivers are currently sediment supply-limited in terms of bed material - that is, the transport capacity of the channel generally exceeds the supply of bed material. The relation between transport capacity and sediment is more ambiguous for the fluvial reaches on the Wilson and Miami Rivers, but transport-limited conditions are likely for at least parts of these reaches. Some of these reaches have possibly evolved from sediment supply-limited to transport-limited over the last several decades in response to changing basin and climate conditions.
Because of exceedingly low gradients, all the tidal reaches are transport-limited. Bed material in these reaches, however, is primarily sand and finer grain-size material and probably transported as suspended load from upstream reaches. These reaches will be most susceptible to watershed conditions affecting the supply and transport of fine sediment.
Compared to basins on the southwestern Oregon coast, such as the Chetco and Rogue River basins, these six basins likely transport overall less gravel bed material. Although tentative in the absence of actual transport measurements, this conclusion is supported by the much lower area and frequency of bars and longer tidal reaches along all the northcoast rivers examined in this study.
Previous studies suggest that the expansive and largely unvegetated bars visible in the 1939 photographs are primarily associated with voluminous sedimentation starting soon after the first Tillamook Burn fire in 1933. However, USGS studies of temporal bar trends in other Oregon coastal rivers unaffected by the Tillamook Burn show similar declines in bar area over approximately the same analysis period. In the Umpqua and Chetco River basins, historical declines in bar area are associated with long-term decreases in flood magnitude. Other factors may include changes in the type and volume of large wood and riparian vegetation. Further characterization of hydrology patterns in these basins and possible linkages with climate factors related to flood peaks, such as the Pacific Decadal Oscillation, could support inferences of expected future changes in vegetation establishment and channel planform and profile.
More detailed investigations of bed-material transport rates and channel morphology would support assessments of lateral and vertical channel condition and longitudinal trends in bed material. Such assessments would be most practical for the fluvial study areas on the Wilson, Kilchis, Miami, and Nehalem Rivers and relevant to several ongoing management and ecological issues pertaining to sand and gravel transport. Tidal reaches may also be logical subjects for indepth analysis where studies would be more relevant to the deposition and transport of fine sediment (and associated channel and riparian conditions and processes) rather than coarse bed material.