Confusion regarding the identification of Placobdella hollensis (Whitman, 1892) (Hirudinida: Glossiphoniidae) has led to an unclear understanding of the distribution of the species. Two specimens of P. hollensis were collected from Merchants Millpond State Park, Gates County, North Carolina, U.S.A., representing a new geographic distribution record. Specimens were confirmed as P. hollensis by morphological and molecular study. Specimens of P. hollensisfrom North Carolina, had accessory eyes, 2 thin paramedial dark lines, and 3 pairs of pre-anal papillae. Molecular comparison of cytochrome c oxidase subunit I sequence data revealed a 99.0 to 99.7% similarity to specimens of P. hollensis collected from its type locality (Barnstable County, Massachusetts, U.S.A.). From confirmed specimens of P. hollensis, this report supports the assertion that P. hollensis has an Atlantic coastal distribution.
","language":"English","publisher":"The Helminthological Society of Washington","doi":"10.1654/1525-2647-84.2.165","usgsCitation":"Moser, W.E., Richardson, D.J., Hammond, C.I., Gotte, S.W., and Lazo-Wasem, E., 2017, Distribution of Placobdella hollensis (Whitman, 1892) (Hirudinida: Glossiphoniidae): Comparative Parasitology, v. 84, no. 2, p. 165-168, https://doi.org/10.1654/1525-2647-84.2.165.","productDescription":"4 p.","startPage":"165","endPage":"168","ipdsId":"IP-085012","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":345089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345071,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.1654/1525-2647-84.2.165"}],"volume":"84","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9442e4b04935557fe98a","contributors":{"authors":[{"text":"Moser, William E.","contributorId":195817,"corporation":false,"usgs":false,"family":"Moser","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":708311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Dennis J.","contributorId":195818,"corporation":false,"usgs":false,"family":"Richardson","given":"Dennis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, Charlotte I.","contributorId":195819,"corporation":false,"usgs":false,"family":"Hammond","given":"Charlotte","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":708313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gotte, Steve W. 0000-0001-5509-4495 sgotte@usgs.gov","orcid":"https://orcid.org/0000-0001-5509-4495","contributorId":4481,"corporation":false,"usgs":true,"family":"Gotte","given":"Steve","email":"sgotte@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":708310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazo-Wasem, Eric","contributorId":195820,"corporation":false,"usgs":false,"family":"Lazo-Wasem","given":"Eric","affiliations":[],"preferred":false,"id":708314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190295,"text":"70190295 - 2017 - Occurrence of amphibians in northern California coastal dune drainages","interactions":[],"lastModifiedDate":"2017-08-23T17:19:36","indexId":"70190295","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of amphibians in northern California coastal dune drainages","docAbstract":"Many coastal dune ecosystems have been degraded by non-native dune vegetation, but these systems might still provide valuable habitat for some taxa, including amphibians. Because restoration of degraded dune systems is occurring and likely to continue, we examined the occurrence of amphibians in drainages associated with a coastal dune ecosystem degraded by invasive plants (European Beachgrass, Ammophila arenaria, and Iceplant, Carpobrotus edulis). We found that occupancy of 3 amphibian species (California Red-legged Frog, Rana draytonii; Sierran Treefrog, Hyliola sierra; and Rough-skinned Newt, Taricha granulosa) among 21 coastal-dune drainages was high, with most coastal-dune drainages occupied by all 3 species. Furthermore, reproduction of Sierran Treefrogs and California Red-legged Frogs was estimated to occur in approximately ½ and ⅓ of the drainages, respectively. The probability of occurrence of Rough-skinned Newts and pre-metamorphic life stages of both anurans decreased during the study, perhaps because of ongoing drought in California or precipitation-induced changes in phenology during the final year of the study. Maintaining structural cover and moist features during dune restoration will likely benefit native amphibian populations inhabiting coastal-dune ecosystems.
","language":"English","publisher":"Society for Northwestern Vertebrate Biology","doi":"10.1898/NWN16-18.1","usgsCitation":"Halstead, B., and Kleeman, P.M., 2017, Occurrence of amphibians in northern California coastal dune drainages: Northwestern Naturalist, v. 98, no. 2, p. 91-100, https://doi.org/10.1898/NWN16-18.1.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-079107","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345086,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.1898/NWN16-18.1"}],"volume":"98","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e943fe4b04935557fe970","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":708350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":708351,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190276,"text":"70190276 - 2017 - Acid Deposition","interactions":[],"lastModifiedDate":"2017-08-23T09:02:23","indexId":"70190276","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Acid Deposition","docAbstract":"No abstract available
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Geochemistry","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-39193-9_168-1","usgsCitation":"Lawrence, G.B., 2017, Acid Deposition, chap. of Encyclopedia of Geochemistry, p. 1-4, https://doi.org/10.1007/978-3-319-39193-9_168-1.","productDescription":"4 p.","startPage":"1","endPage":"4","ipdsId":"IP-085066","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":345042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-07","publicationStatus":"PW","scienceBaseUri":"599e9443e4b04935557fe994","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708240,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190238,"text":"70190238 - 2017 - Small mammals as indicators of climate, biodiversity, and ecosystem change","interactions":[],"lastModifiedDate":"2019-12-21T08:28:41","indexId":"70190238","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Small mammals as indicators of climate, biodiversity, and ecosystem change","docAbstract":"Climate is a driving evolutionary force for biodiversity in high-latitude Alaska. This region is complex and dynamic with high annual variation in temperature and light. Through deeper time, Alaska has experienced major climate extremes over much longer periodicity. For example, the Quaternary Period (the last ~2.5 million years), commonly known as the Ice Age, was punctuated by more than 20 major glacial-interglacial cycles. During glacial phases, water was locked up in ice sheets that covered much of North America, and the resulting lower sea levels exposed a land connection between Alaska and Siberia, a combined region known as Beringia (Figure 1). This isthmus provided vast expanses of land for species to inhabit, provided they could withstand potentially harsh polar conditions. Each extended glacial phase periodically transitioned into a shorter interglacial warm phase. These climate reversals melted continental ice sheets to expose corridors for reinvasion of terrestrial species, particularly those associated with forested habitats further south. Those species that survived at northern latitudes through repeated glacial-interglacial cycles formed the Arctic tundra communities that persist today. At present, Alaska supports diverse communities associated with both tundra and forests (Figure 2). These communities often interact with one another across latitudinal and elevational gradients, with tundra species generally found further north or higher in elevation. Alaska’s climate is continuing to change today, strongly influencing local environments and the distribution and dynamics of wildlife species.","language":"English","publisher":"National Park Service","usgsCitation":"Hope, A.G., Waltari, E., Morse, N.R., Flamme, M., Cook, J.A., and Talbot, S.L., 2017, Small mammals as indicators of climate, biodiversity, and ecosystem change: Alaska Park Science, v. 16, no. 1, p. 72-78.","productDescription":"7 p.","startPage":"72","endPage":"78","ipdsId":"IP-070300","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":345044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344962,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-16-1-16.htm"}],"country":"Russia, United States","state":"Alaska, Siberia","volume":"16","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9445e4b04935557fe9a8","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":708245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":708246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morse, Nathan R.","contributorId":195800,"corporation":false,"usgs":false,"family":"Morse","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flamme, M.J.","contributorId":88171,"corporation":false,"usgs":true,"family":"Flamme","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":708248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":708045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, Joseph A.","contributorId":70318,"corporation":false,"usgs":true,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186823,"text":"fs20173025 - 2017 - Assessment of continuous oil and gas resources in the Neuquén Basin Province, Argentina, 2016","interactions":[],"lastModifiedDate":"2018-02-15T15:02:04","indexId":"fs20173025","displayToPublicDate":"2017-08-22T15:45:00","publicationYear":"2017","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":"2017-3025","title":"Assessment of continuous oil and gas resources in the Neuquén Basin Province, Argentina, 2016","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey assessed undiscovered, technically recoverable mean continuous resources of 14.4 billion barrels of oil and 38 trillion cubic feet of gas in the Neuquén Basin Province, Argentina.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173025","usgsCitation":"Schenk, C.J., Klett, T.R., Tennyson, M.E., Mercier, T.J., Pitman, J.K., Gaswirth, S.B., Finn, T.M., Brownfield, M.E., Le, P.A., Leathers-Miller, H.M., and Marra, K.R., 2017, Assessment of continuous oil and gas resources in the Neuquén Basin Province, Argentina, 2016: U.S. Geological Survey Fact Sheet 2017–3025, 4 p., https://doi.org/10.3133/fs20173025.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-079155","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":341510,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173043\t","text":"Fact Sheet 2017–3043:","linkHelpText":" Assessment of Continuous Oil and Gas Resources in the San Jorge Basin Province, Argentina, 2017"},{"id":341509,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173042","text":"Fact Sheet 2017–3042: ","linkHelpText":"Assessment of Undiscovered Oil and Gas Resources in the Cuyo Basin Province, Argentina, 2017"},{"id":341449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3025/coverthb.jpg"},{"id":341450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3025/fs20173025.pdf","text":"Report","size":"816 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3025"}],"country":"Argentina","state":"Neuquén Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.818359375,\n -33.815666308702774\n ],\n [\n -69.49951171875,\n -34.03445260967644\n ],\n [\n -69.80712890625,\n -34.72355492704219\n ],\n [\n -70.33447265624999,\n -35.62158189955967\n ],\n [\n -70.42236328125,\n -36.27970720524016\n ],\n [\n -70.86181640625,\n -38.09998264736479\n ],\n [\n -70.77392578125,\n -39.77476948529546\n ],\n [\n -70.77392578125,\n -40.212440718286466\n ],\n [\n -69.93896484375,\n -40.44694705960048\n ],\n [\n -68.2470703125,\n -40.38002840251182\n ],\n [\n -65.91796875,\n -40.229218188701154\n ],\n [\n -65.72021484375,\n -39.87601941962115\n ],\n [\n -65.7421875,\n -39.21523130910491\n ],\n [\n -65.98388671875,\n -38.496593518947556\n ],\n [\n -66.24755859375,\n -38.01347623104191\n ],\n [\n -66.77490234375,\n -37.26530995561873\n ],\n [\n -67.3681640625,\n -36.120127589781454\n ],\n [\n -67.8955078125,\n -35.19176696594738\n ],\n [\n -68.466796875,\n -34.143634820312634\n ],\n [\n -68.818359375,\n -33.815666308702774\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The economic growth of an industrialized nation such as the United States requires raw materials for construction (buildings, bridges, highways, and so forth), defense, and processing and manufacture of goods and services. Since the beginning of the 20th century, the types and quantities of raw materials used have increased and changed significantly. This fact sheet quantifies the amounts of raw materials (other than food and fuel) that have been used in the U.S. economy annually for a period of 115 years, from 1900 through 2014. It provides a broad overview of the quantity (weight) of nonfood and nonfuel materials used in the economy and illustrates the use and significance of raw nonfuel minerals in particular as building blocks of society.
These data have been compiled to help the public and policymakers understand the changing annual flow of raw materials put into use in the United States. Such information can be helpful in assessing the potential effects of materials use on the environment, assessing materials’ intensity of use, and examining the role that these materials play in the economy. The data presented indicate the substitution and shift in materials usage from renewable to nonrenewable materials during the 20th century. The disaggregated quantities by commodity (not shown in this fact sheet) may be tested against supply adequacy and end of life issues.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173062","usgsCitation":"Matos, G.R., 2017, Use of raw materials in the United States from 1900 through 2014: U.S. Geological Survey Fact Sheet 2017–3062, 6 p., https://doi.org/10.3133/fs20173062. [Supersedes Fact Sheet 2012–3140.]","productDescription":"Report: 6 p.; 1 Table","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-083233","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":344924,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/fs/2017/3062/fs20173062_table1.xlsx","text":"Table 1","size":"128 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- U.S. raw materials put into use annually from 1900 through 2014, by category. 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U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
The U.S. Geological Survey (USGS) serves the Nation by providing reliable scientific information to describe and understand the Earth; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life. In support of this mission, the USGS Virginia and West Virginia Water Science Center works in cooperation with many entities to provide reliable, impartial scientific information to resource managers, planners, and the public.
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\"}}]}","contact":"Director, Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
A global inventory of data from gas hydrate drilling expeditions is used to develop relationships between the base of structure I gas hydrate stability, top of gas hydrate occurrence, sulfate-methane transition depth, pressure (water depth), and geothermal gradients. The motivation of this study is to provide first-order estimates of the top of gas hydrate occurrence and associated thickness of the gas hydrate occurrence zone for climate-change scenarios, global carbon budget analyses, or gas hydrate resource assessments. Results from publicly available drilling campaigns (21 expeditions and 52 drill sites) off Cascadia, Blake Ridge, India, Korea, South China Sea, Japan, Chile, Peru, Costa Rica, Gulf of Mexico, and Borneo reveal a first-order linear relationship between the depth to the top and base of gas hydrate occurrence. The reason for these nearly linear relationships is believed to be the strong pressure and temperature dependence of methane solubility in the absence of large difference in thermal gradients between the various sites assessed. In addition, a statistically robust relationship was defined between the thickness of the gas hydrate occurrence zone and the base of gas hydrate stability (in meters below seafloor). The relationship developed is able to predict the depth of the top of gas hydrate occurrence zone using observed depths of the base of gas hydrate stability within less than 50 m at most locations examined in this study. No clear correlation of the depth to the top and base of gas hydrate occurrences with geothermal gradient and sulfate-methane transition depth was identified.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GC006805","usgsCitation":"Riedel, M., and Collett, T.S., 2017, Observed correlation between the depth to base and top of gas hydrate occurrence from review of global drilling data: Geochemistry, Geophysics, Geosystems, v. 18, no. 7, p. 2543-2561, https://doi.org/10.1002/2017GC006805.","productDescription":"19 p.","startPage":"2543","endPage":"2561","ipdsId":"IP-082912","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gc006805","text":"Publisher Index Page"},{"id":344997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-13","publicationStatus":"PW","scienceBaseUri":"599bf122e4b0b589267ed33b","contributors":{"authors":[{"text":"Riedel, Michael","contributorId":7518,"corporation":false,"usgs":true,"family":"Riedel","given":"Michael","email":"","affiliations":[],"preferred":false,"id":707874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":707873,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190209,"text":"70190209 - 2017 - Frequencies of decision making and monitoring in adaptive resource management","interactions":[],"lastModifiedDate":"2017-08-21T11:30:54","indexId":"70190209","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Frequencies of decision making and monitoring in adaptive resource management","docAbstract":"Adaptive management involves learning-oriented decision making in the presence of uncertainty about the responses of a resource system to management. It is implemented through an iterative sequence of decision making, monitoring and assessment of system responses, and incorporating what is learned into future decision making. Decision making at each point is informed by a value or objective function, for example total harvest anticipated over some time frame. The value function expresses the value associated with decisions, and it is influenced by system status as updated through monitoring. Often, decision making follows shortly after a monitoring event. However, it is certainly possible for the cadence of decision making to differ from that of monitoring. In this paper we consider different combinations of annual and biennial decision making, along with annual and biennial monitoring. With biennial decision making decisions are changed only every other year; with biennial monitoring field data are collected only every other year. Different cadences of decision making combine with annual and biennial monitoring to define 4 scenarios. Under each scenario we describe optimal valuations for active and passive adaptive decision making. We highlight patterns in valuation among scenarios, depending on the occurrence of monitoring and decision making events. Differences between years are tied to the fact that every other year a new decision can be made no matter what the scenario, and state information is available to inform that decision. In the subsequent year, however, in 3 of the 4 scenarios either a decision is repeated or monitoring does not occur (or both). There are substantive differences in optimal values among the scenarios, as well as the optimal policies producing those values. Especially noteworthy is the influence of monitoring cadence on valuation in some years. We highlight patterns in policy and valuation among the scenarios, and discuss management implications and extensions.","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0182934","usgsCitation":"Williams, B.K., and Johnson, F.A., 2017, Frequencies of decision making and monitoring in adaptive resource management: PLoS ONE, v. 12, no. 8, e0182934; 18 p., https://doi.org/10.1371/journal.pone.0182934.","productDescription":"e0182934; 18 p.","ipdsId":"IP-080475","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0182934","text":"Publisher Index Page"},{"id":344992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-11","publicationStatus":"PW","scienceBaseUri":"599bf121e4b0b589267ed333","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":707990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"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":707989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190245,"text":"70190245 - 2017 - Extent of localized tree mortality influences soil biogeochemical response in a beetle-infested coniferous forest","interactions":[],"lastModifiedDate":"2017-09-20T15:02:10","indexId":"70190245","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Extent of localized tree mortality influences soil biogeochemical response in a beetle-infested coniferous forest","docAbstract":"Recent increases in the magnitude and occurrence of insect-induced tree mortality are disruptingevergreen forests globally. To resolve potentially conflicting ecosystem responses, we investigatedwhether surrounding trees exert compensatory effects on biogeochemical signatures following beetleinfestation. To this end, plots were surveyed within a Colorado Rocky Mountain watershed that expe-rienced beetle infestation almost a decade prior and contained a range of surrounding tree mortality(from 9 to 91% of standing trees). Near-surface soil horizons under plot-centered live (green) and beetle-killed (grey) lodgepole pines were sampled over two consecutive summers with variable moistureconditions. Results revealed that soil respiration was 18e28% lower beneath beetle-infested trees andcorrelated to elevated dissolved organic carbon aromaticity. While certain edaphic parameters includingpH and water content were elevated below grey compared to green trees regardless of the mortalityextent within plots, other biogeochemical responses required a higher severity of surrounding mortalityto overcome compensatory effects of neighboring live trees. For instance, C:N ratios under grey treesdeclined with increased severity of surrounding tree mortality, and the proportion of ammonium dis-played a threshold effect with pronounced increases after surrounding tree mortality exceeded ~40%.Overall, the biogeochemical response to tree death was most prominent in the mineral soil horizonwhere tree mortality had the largest affect on carbon recalcitrance and the enrichment of nitrogenspecies. These results can aid in determining when and where nutrient cycles and biogeochemicalfeedbacks to the atmosphere and hydrosphere will be observed in association with this type of ecological disturbance.","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2017.06.016","usgsCitation":"Brouillard, B., Mikkelson, K., Bokman, C., Berryman, E.M., and Sharp, J., 2017, Extent of localized tree mortality influences soil biogeochemical response in a beetle-infested coniferous forest: Soil Biology and Biochemistry, v. 114, p. 309-318, https://doi.org/10.1016/j.soilbio.2017.06.016.","productDescription":"10 p.","startPage":"309","endPage":"318","ipdsId":"IP-083665","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1549831","text":"Publisher Index Page"},{"id":344990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountain Watershed","volume":"114","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599bf120e4b0b589267ed32f","contributors":{"authors":[{"text":"Brouillard, Brent","contributorId":195771,"corporation":false,"usgs":false,"family":"Brouillard","given":"Brent","email":"","affiliations":[],"preferred":false,"id":708135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikkelson, Kristin","contributorId":195772,"corporation":false,"usgs":false,"family":"Mikkelson","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":708136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bokman, Chelsea","contributorId":195773,"corporation":false,"usgs":false,"family":"Bokman","given":"Chelsea","email":"","affiliations":[],"preferred":false,"id":708137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berryman, Erin Michele 0000-0001-8699-2474 eberryman@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-2474","contributorId":5765,"corporation":false,"usgs":true,"family":"Berryman","given":"Erin","email":"eberryman@usgs.gov","middleInitial":"Michele","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":708134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sharp, Jonathan","contributorId":195774,"corporation":false,"usgs":false,"family":"Sharp","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":708138,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190247,"text":"70190247 - 2017 - The Tule Springs local fauna: Rancholabrean vertebrates from the Las Vegas Formation, Nevada","interactions":[],"lastModifiedDate":"2017-08-21T16:53:02","indexId":"70190247","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"The Tule Springs local fauna: Rancholabrean vertebrates from the Las Vegas Formation, Nevada","docAbstract":"A middle to late Pleistocene sedimentary sequence in the upper Las Vegas Wash, north of Las Vegas, Nevada, has yielded the largest open-site Rancholabrean vertebrate fossil assemblage in the southern Great Basin and Mojave Deserts. Recent paleontologic field studies have led to the discovery of hundreds of fossil localities and specimens, greatly extending the geographic and temporal footprint of original investigations in the early 1960s. The significance of the deposits and their entombed fossils led to the preservation of 22,650 acres of the upper Las Vegas Wash as Tule Springs Fossil Beds National Monument. These discoveries also warrant designation of the assemblage as a local fauna, named for the site of the original paleontologic studies at Tule Springs.
The large mammal component of the Tule Springs local fauna is dominated by remains of Mammuthus columbi as well as Camelops hesternus, along with less common remains of Equus (including E. scotti) and Bison. Large carnivorans including Canis dirus, Smilodon fatalis, and Panthera atrox are also recorded. Micromammals, amphibians, lizards, snakes, birds, invertebrates, plant macrofossils, and pollen also occur in the deposits and provide important and complementary paleoenvironmental information. The fauna occurs within the Las Vegas Formation, an extensive and stratigraphically complex sequence of groundwater discharge deposits that represent a mosaic of desert wetland environments. Radiometric and luminescence dating indicates the sequence spans the last ∼570 ka, and records hydrologic changes in a dynamic and temporally congruent response to northern hemispheric abrupt climatic oscillations. The vertebrate fauna occurs in multiple stratigraphic horizons in this sequence, with ages of the fossils spanning from ∼100 to ∼12.5 ka.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2017.06.001","usgsCitation":"Scott, E., Springer, K.B., and Sagebiel, J.C., 2017, The Tule Springs local fauna: Rancholabrean vertebrates from the Las Vegas Formation, Nevada: Quaternary International, v. 443, no. A, p. 105-121, https://doi.org/10.1016/j.quaint.2017.06.001.","productDescription":"17 p.","startPage":"105","endPage":"121","ipdsId":"IP-081590","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":345014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"443","issue":"A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599bf11fe4b0b589267ed32d","contributors":{"authors":[{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":708145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":708144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sagebiel, James C.","contributorId":195775,"corporation":false,"usgs":false,"family":"Sagebiel","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":708146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190211,"text":"70190211 - 2017 - Seasonal variability in particulate matter source and composition to the depositional zone of Baltimore Canyon, U.S. Mid-Atlantic Bight","interactions":[],"lastModifiedDate":"2017-09-25T13:45:06","indexId":"70190211","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variability in particulate matter source and composition to the depositional zone of Baltimore Canyon, U.S. Mid-Atlantic Bight","docAbstract":"Submarine canyons are often hotspots of biomass and productivity in the deep sea. However, the majority of deep-sea canyons remain poorly sampled. Using a multi-tracer approach, results from a detailed geochemical investigation from a year-long sediment trap deployment reveals details concerning the source, transport, and fate of particulate matter to the depositional zone (1318 m) of Baltimore Canyon on the US Mid-Atlantic Bight (MAB). Both organic biomarker composition (sterol and n-alkanes) and bulk characteristics (δ13C, Δ14C, Chl-a) suggest that on an annual basis particulate matter from marine and terrestrially-derived organic matter are equally important. However, elevated Chlorophyll-a and sterol concentrations during the spring sampling period highlight the seasonal influx of relatively fresh phytodetritus. In addition, the contemporaneous increase in the particle reactive elements cadmium (Cd) and molybdenum (Mo) in the spring suggest increased scavenging, aggregation, and sinking of biomass during seasonal blooms in response to enhanced surface production within the nutricline. While internal waves within the canyon resuspend sediment between 200 and 600 m, creating a nepheloid layer rich in lithogenic material, near-bed sediment remobilization in the canyon depositional zone is minimal. Instead, vertical transport and lateral transport across the continental margin are the dominant processes driving seasonal input of particulate matter. In turn, seasonal variability in deposited particulate organic matter may be linked to benthic faunal composition and ecosystem scale carbon cycling.","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2017.08.004","usgsCitation":"Prouty, N.G., Mienis, F., Campbell, P., Roark, E.B., Davies, A., Robertson, C.M., Duineveld, G., Ross, S., Rhodes, M., and Demopoulos, A.W., 2017, Seasonal variability in particulate matter source and composition to the depositional zone of Baltimore Canyon, U.S. Mid-Atlantic Bight: Deep-Sea Research Part I: Oceanographic Research Papers, v. 127, p. 77-89, https://doi.org/10.1016/j.dsr.2017.08.004.","productDescription":"13 p.","startPage":"77","endPage":"89","ipdsId":"IP-083494","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.library.noaa.gov/view/noaa/57259","text":"Publisher Index Page"},{"id":344991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74,\n 38\n ],\n [\n -73,\n 38\n ],\n [\n -73,\n 39\n ],\n [\n -74,\n 39\n ],\n [\n -74,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599bf121e4b0b589267ed331","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mienis, Furu","contributorId":20255,"corporation":false,"usgs":true,"family":"Mienis","given":"Furu","affiliations":[],"preferred":false,"id":707995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, P.","contributorId":99249,"corporation":false,"usgs":true,"family":"Campbell","given":"P.","email":"","affiliations":[],"preferred":false,"id":708139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roark, E. Brendan","contributorId":195726,"corporation":false,"usgs":false,"family":"Roark","given":"E.","email":"","middleInitial":"Brendan","affiliations":[],"preferred":false,"id":707997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Andrew","contributorId":71394,"corporation":false,"usgs":true,"family":"Davies","given":"Andrew","affiliations":[],"preferred":false,"id":707998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Craig M.","contributorId":169050,"corporation":false,"usgs":false,"family":"Robertson","given":"Craig","email":"","middleInitial":"M.","affiliations":[{"id":25399,"text":"Bangor University, Wales, UK","active":true,"usgs":false}],"preferred":false,"id":708140,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duineveld, Gerard","contributorId":195725,"corporation":false,"usgs":false,"family":"Duineveld","given":"Gerard","affiliations":[],"preferred":false,"id":707999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":708000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rhodes, M.","contributorId":6328,"corporation":false,"usgs":true,"family":"Rhodes","given":"M.","affiliations":[],"preferred":false,"id":708001,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"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":708002,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70190180,"text":"70190180 - 2017 - Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: Implications for disease risk management in North America","interactions":[],"lastModifiedDate":"2017-12-19T16:01:29","indexId":"70190180","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: Implications for disease risk management in North America","docAbstract":"Cross-species disease transmission between wildlife, domestic animals and humans is an increasing threat to public and veterinary health. Wild pigs are increasingly a potential veterinary and public health threat. Here we investigate 84 pathogens and the host species most at risk for transmission with wild pigs using a network approach. We assess the risk to agricultural and human health by evaluating the status of these pathogens and the co-occurrence of wild pigs, agriculture and humans. We identified 34 (87%) OIE listed swine pathogens that cause clinical disease in livestock, poultry, wildlife, and humans. On average 73% of bacterial, 39% of viral, and 63% of parasitic pathogens caused clinical disease in other species. Non-porcine livestock in the family Bovidae shared the most pathogens with swine (82%). Only 49% of currently listed OIE domestic swine diseases had published wild pig surveillance studies. The co-occurrence of wild pigs and farms increased annually at a rate of 1.2% with as much as 57% of all farms and 77% of all agricultural animals co-occurring with wild pigs. The increasing co-occurrence of wild pigs with livestock and humans along with the large number of pathogens shared is a growing risk for cross-species transmission.","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-07336-z","usgsCitation":"Miller, R.S., Sweeney, S.J., Slootmaker, C., Grear, D.A., DiSalvo, P.A., Kiser, D., and Shwiff, S.A., 2017, Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: Implications for disease risk management in North America: Scientific Reports, v. 7, p. 1-14, https://doi.org/10.1038/s41598-017-07336-z.","productDescription":"Article 7821; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-086787","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-07336-z","text":"Publisher Index Page"},{"id":344998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-10","publicationStatus":"PW","scienceBaseUri":"599bf123e4b0b589267ed33d","contributors":{"authors":[{"text":"Miller, Ryan S.","contributorId":49005,"corporation":false,"usgs":false,"family":"Miller","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":707843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweeney, Steven J.","contributorId":195672,"corporation":false,"usgs":false,"family":"Sweeney","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":707844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slootmaker, Chris","contributorId":195673,"corporation":false,"usgs":false,"family":"Slootmaker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":707845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":707842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DiSalvo, Paul A.","contributorId":195674,"corporation":false,"usgs":false,"family":"DiSalvo","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiser, Deborah","contributorId":195675,"corporation":false,"usgs":false,"family":"Kiser","given":"Deborah","email":"","affiliations":[],"preferred":false,"id":707847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shwiff, Stephanie A.","contributorId":195676,"corporation":false,"usgs":false,"family":"Shwiff","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707848,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190205,"text":"70190205 - 2017 - Moving forward in circles: Challenges and opportunities in modeling population cycles","interactions":[],"lastModifiedDate":"2017-08-21T11:38:36","indexId":"70190205","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Moving forward in circles: Challenges and opportunities in modeling population cycles","docAbstract":"Population cycling is a widespread phenomenon, observed across a multitude of taxa in both laboratory and natural conditions. Historically, the theory associated with population cycles was tightly linked to pairwise consumer–resource interactions and studied via deterministic models, but current empirical and theoretical research reveals a much richer basis for ecological cycles. Stochasticity and seasonality can modulate or create cyclic behaviour in non-intuitive ways, the high-dimensionality in ecological systems can profoundly influence cycling, and so can demographic structure and eco-evolutionary dynamics. An inclusive theory for population cycles, ranging from ecosystem-level to demographic modelling, grounded in observational or experimental data, is therefore necessary to better understand observed cyclical patterns. In turn, by gaining better insight into the drivers of population cycles, we can begin to understand the causes of cycle gain and loss, how biodiversity interacts with population cycling, and how to effectively manage wildly fluctuating populations, all of which are growing domains of ecological research.","language":"English","publisher":"Wiley","doi":"10.1111/ele.12789","usgsCitation":"Barraquand, F., Louca, S., Abbott, K.C., Cobbold, C.A., Cordoleani, F., DeAngelis, D.L., Elderd, B.D., Fox, J.W., Greenwood, P., Hilker, F., Murray, D., Stieha, C.R., Taylor, R.C., Vitense, K., Wolkowicz, G., and Tyson, R., 2017, Moving forward in circles: Challenges and opportunities in modeling population cycles: Ecology Letters, v. 20, no. 8, p. 1074-1092, https://doi.org/10.1111/ele.12789.","productDescription":"19 p.","startPage":"1074","endPage":"1092","ipdsId":"IP-073202","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.12789","text":"Publisher Index Page"},{"id":344993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"599bf121e4b0b589267ed335","contributors":{"authors":[{"text":"Barraquand, Frederic","contributorId":195707,"corporation":false,"usgs":false,"family":"Barraquand","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":707950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Louca, 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0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","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":707949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elderd, Bret D","contributorId":195712,"corporation":false,"usgs":false,"family":"Elderd","given":"Bret","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":707955,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, Jeremy W","contributorId":195713,"corporation":false,"usgs":false,"family":"Fox","given":"Jeremy","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":707956,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Greenwood, Priscilla","contributorId":195714,"corporation":false,"usgs":false,"family":"Greenwood","given":"Priscilla","email":"","affiliations":[],"preferred":false,"id":707957,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hilker, Frank M","contributorId":195715,"corporation":false,"usgs":false,"family":"Hilker","given":"Frank M","affiliations":[],"preferred":false,"id":707958,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murray, Dennis","contributorId":195717,"corporation":false,"usgs":false,"family":"Murray","given":"Dennis","affiliations":[],"preferred":false,"id":707960,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stieha, Christopher R","contributorId":195718,"corporation":false,"usgs":false,"family":"Stieha","given":"Christopher","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":707961,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Taylor, Rachel C.","contributorId":195719,"corporation":false,"usgs":false,"family":"Taylor","given":"Rachel","middleInitial":"C.","affiliations":[],"preferred":false,"id":707962,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vitense, Kelsey","contributorId":195720,"corporation":false,"usgs":false,"family":"Vitense","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":707963,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wolkowicz, Gail","contributorId":195721,"corporation":false,"usgs":false,"family":"Wolkowicz","given":"Gail","email":"","affiliations":[],"preferred":false,"id":707964,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tyson, Rebecca C","contributorId":195722,"corporation":false,"usgs":false,"family":"Tyson","given":"Rebecca C","affiliations":[],"preferred":false,"id":707965,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70190200,"text":"70190200 - 2017 - Life histories and conservation of long-lived reptiles, an illustration with the American crocodile (Crocodylus acutus)","interactions":[],"lastModifiedDate":"2017-08-20T10:51:17","indexId":"70190200","displayToPublicDate":"2017-08-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Life histories and conservation of long-lived reptiles, an illustration with the American crocodile (Crocodylus acutus)","title":"Life histories and conservation of long-lived reptiles, an illustration with the American crocodile (Crocodylus acutus)","docAbstract":"The North American Breeding Bird Survey (BBS) was established in 1966 in response to a lack of quantitative data on changes in the populations of many bird species at a continental scale, especially songbirds. The BBS now provides the most reliable regional and continental trends and annual indices of abundance available for >500 bird species. This paper reviews some of the ways in which BBS data have contributed to bird conservation in North America over the past 50 yr, and highlights future program enhancement opportunities. BBS data have contributed to the listing of species under the Canadian Species at Risk Act and, in a few cases, have informed species assessments under the U.S. Endangered Species Act. By raising awareness of population changes, the BBS has helped to motivate bird conservation efforts through the creation of Partners in Flight. BBS data have been used to determine priority species and locations for conservation action at regional and national scales through Bird Conservation Region strategies and Joint Ventures. Data from the BBS have provided the quantitative foundation for North American State of the Birds reports, and have informed the public with regard to environmental health through multiple indicators, such as the Canadian Environmental Sustainability Indicators and the U.S. Environmental Protection Agency's Report on the Environment. BBS data have been analyzed with other data (e.g., environmental, land cover, and demographic) to evaluate potential drivers of population change, which have then informed conservation actions. In a few cases, BBS data have contributed to the evaluation of management actions, including informing the management of Mourning Doves (Zenaida macroura), Wood Ducks (Aix sponsa), and Golden Eagles (Aquila chrysaetos). Improving geographic coverage in northern Canada and in Mexico, improving the analytical approaches required to integrate data from other sources and to address variation in detectability, and completing the database, by adding historical bird data at each point count location and pinpointing the current point count locations would further enhance the survey's value.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-17-62.1","usgsCitation":"Hudson, M.R., Francis, C.M., Campbell, K., Downes, C.M., Smith, A.C., and Pardieck, K.L., 2017, The role of the North American Breeding Bird Survey in conservation: Condor, v. 119, no. 3, p. 526-545, https://doi.org/10.1650/CONDOR-17-62.1.","productDescription":"20 p.","startPage":"526","endPage":"545","ipdsId":"IP-085807","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469603,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-62.1","text":"Publisher Index Page"},{"id":344979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599a9fb6e4b0b589267d58b7","contributors":{"authors":[{"text":"Hudson, Marie-Anne R.","contributorId":195235,"corporation":false,"usgs":false,"family":"Hudson","given":"Marie-Anne","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":707868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Francis, Charles M.","contributorId":195680,"corporation":false,"usgs":false,"family":"Francis","given":"Charles","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate J.","contributorId":191414,"corporation":false,"usgs":false,"family":"Campbell","given":"Kate J.","affiliations":[],"preferred":false,"id":707870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downes, Constance M.","contributorId":195681,"corporation":false,"usgs":false,"family":"Downes","given":"Constance","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Adam C.","contributorId":195234,"corporation":false,"usgs":false,"family":"Smith","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707867,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190227,"text":"70190227 - 2017 - Combined analysis of roadside and off-road breeding bird survey data to assess population change in Alaska","interactions":[],"lastModifiedDate":"2017-08-20T09:27:33","indexId":"70190227","displayToPublicDate":"2017-08-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Combined analysis of roadside and off-road breeding bird survey data to assess population change in Alaska","docAbstract":"Management interest in North American birds has increasingly focused on species that breed in Alaska, USA, and Canada, where habitats are changing rapidly in response to climatic and anthropogenic factors. We used a series of hierarchical models to estimate rates of population change in 2 forested Bird Conservation Regions (BCRs) in Alaska based on data from the roadside North American Breeding Bird Survey (BBS) and the Alaska Landbird Monitoring Survey, which samples off-road areas on public resource lands. We estimated long-term (1993–2015) population trends for 84 bird species from the BBS and short-term (2003–2015) trends for 31 species from both surveys. Among the 84 species with long-term estimates, 11 had positive trends and 17 had negative trends in 1 or both BCRs; negative trends were primarily found among aerial insectivores and wetland-associated species, confirming range-wide negative continental trends for many of these birds. Three species with negative trends in the contiguous United States and southern Canada had positive trends in Alaska, suggesting different population dynamics at the northern edges of their ranges. Regional population trends within Alaska differed for several species, particularly those represented by different subspecies in the 2 BCRs, which are separated by rugged, glaciated mountain ranges. Analysis of the roadside and off-road data in a joint hierarchical model with shared parameters resulted in improved precision of trend estimates and suggested a roadside-related difference in underlying population trends for several species, particularly within the Northwestern Interior Forest BCR. The combined analysis highlights the importance of considering population structure, physiographic barriers, and spatial heterogeneity in habitat change when assessing patterns of population change across a landscape as broad as Alaska. Combined analysis of roadside and off-road survey data in a hierarchical framework may be particularly useful for evaluating patterns of population change in relatively undeveloped regions with sparse roadside BBS coverage.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-67.1","usgsCitation":"Handel, C.M., and Sauer, J.R., 2017, Combined analysis of roadside and off-road breeding bird survey data to assess population change in Alaska: Condor, v. 119, no. 3, p. 557-575, https://doi.org/10.1650/CONDOR-17-67.1.","productDescription":"19 p.","startPage":"557","endPage":"575","ipdsId":"IP-085966","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":461428,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-67.1","text":"Publisher Index Page"},{"id":438244,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SCO7AN","text":"USGS data release","linkHelpText":"Alaska Landbird Monitoring Survey Dataset"},{"id":344972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599a9fb1e4b0b589267d58b3","contributors":{"authors":[{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":708029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":708030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187860,"text":"ds1052 - 2017 - The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States","interactions":[],"lastModifiedDate":"2017-11-27T12:29:07","indexId":"ds1052","displayToPublicDate":"2017-08-18T15:00:00","publicationYear":"2017","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":"1052","title":"The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States","docAbstract":"The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States (https://doi. org/10.5066/F7WH2N65) represents a seamless, spatial database of 48 State geologic maps that range from 1:50,000 to 1:1,000,000 scale. A national digital geologic map database is essential in interpreting other datasets that support numerous types of national-scale studies and assessments, such as those that provide geochemistry, remote sensing, or geophysical data. The SGMC is a compilation of the individual U.S. Geological Survey releases of the Preliminary Integrated Geologic Map Databases for the United States. The SGMC geodatabase also contains updated data for seven States and seven entirely new State geologic maps that have been added since the preliminary databases were published. Numerous errors have been corrected and enhancements added to the preliminary datasets using thorough quality assurance/quality control procedures. The SGMC is not a truly integrated geologic map database because geologic units have not been reconciled across State boundaries. However, the geologic data contained in each State geologic map have been standardized to allow spatial analyses of lithology, age, and stratigraphy at a national scale.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1052","usgsCitation":"Horton, J.D., San Juan, C.A., and Stoeser, D.B., 2017, The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States (ver. 1.1, August 2017): U.S. Geological Survey Data Series 1052, 46 p., https://doi.org/10.3133/ds1052. ","productDescription":"Report: v, 46 p.; Appendixes 1-9; Data Release","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-076804","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":342653,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WH2N65","text":"USGS Data Release","description":"USGS data release","linkHelpText":"The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United States"},{"id":342917,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1052/ds20171052_appendix6.pdf","text":"Appendix 6. LITH_FORM (Lithology Table) Data Dictionary","size":"192 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1052 Appendix 6"},{"id":342913,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1052/ds20171052_appendix2_v1_1.pdf","text":"Appendix 2. 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GENERALIZED_LITH (SGMC_Geology Feature Class) Data Dictionary","size":"148 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1052 Appendix 8"},{"id":342914,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1052/ds20171052_appendix3.pdf","text":"Appendix 3. Age Table Data Dictionary","size":"196 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1052 Appendix 3"},{"id":344904,"rank":13,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/1052/versionHist.txt","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"DS 1052 Version History"},{"id":342900,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1052/ds20171052_appendix1_v1_1.pdf","text":"Appendix 1. 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\"}}]}\n","edition":"Version 1.0: Originally posted on June 30, 2017; Version 1.1: August 2017","contact":"Central Mineral and Environmental Resources Science Center
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225
The last 2500 years of activity at Kīlauea Volcano (Hawai‘i) have been characterized by centuries-long periods dominated by either effusive or explosive eruptions. The most recent period of explosive activity produced the Keanakāko‘i Tephra (KT; ca. 1500–1820 C.E.) and occurred after the collapse of the summit caldera (1470–1510 C.E.). Previous studies suggest that KT magmas may have ascended rapidly to the surface, bypassing storage in crustal reservoirs. The storage conditions and rapid ascent hypothesis are tested here using chemical zoning in olivine crystals and thermodynamic modeling. Forsterite contents (Fo; [Mg/(Mg + Fe) × 100]) of olivine core and rim populations are used to identify melt components in Kīlauea’s prehistoric (i.e., pre-1823) plumbing system. Primitive (≥Fo88) cores occur throughout the 300+ years of the KT period; they originated from mantle-derived magmas that were first mixed and stored in a deep crustal reservoir. Bimodal olivine populations (≥Fo88 and Fo83–84) record repeated mixing of primitive magmas and more differentiated reservoir components shallower in the system, producing a hybrid composition (Fo85–87). Phase equilibria modeling using MELTS shows that liquidus olivine is not stable at depths >17 km. Thus, calculated timescales likely record mixing and storage within the crust. Modeling of Fe–Mg and Ni zoning patterns (normal, reverse, complex) reveal that KT magmas were mixed and stored for a few weeks to several years before eruption, illustrating a more complex storage history than direct and rapid ascent from the mantle as previously inferred for KT magmas. Complexly zoned crystals also have smoothed compositional reversals in the outer 5–20 µm rims that are out of Fe–Mg equilibrium with surrounding glasses. Diffusion models suggest that these rims formed within a few hours to a few days, indicating that at least one additional, late-stage mixing event may have occurred shortly prior to eruption. Our study illustrates that the lifetimes of KT magmas are more complex than previously proposed, and that most KT magmas did not rise rapidly from the mantle without modification during shallow crustal storage.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-017-1395-4","usgsCitation":"Lynn, K., Garcia, M.O., Shea, T., Costa, F., and Swanson, D., 2017, Timescales of mixing and storage for Keanakāko‘i Tephra magmas (1500-1823 C.E.), Kīlauea Volcano, Hawai‘i: Contributions to Mineralogy and Petrology, v. 172, 76, 20 p., https://doi.org/10.1007/s00410-017-1395-4.","productDescription":"76, 20 p.","ipdsId":"IP-084826","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":464613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.33339726285445,\n 19.47218468157476\n ],\n [\n -155.33339726285445,\n 19.36470404669582\n ],\n [\n -155.18967274036802,\n 19.36470404669582\n ],\n [\n -155.18967274036802,\n 19.47218468157476\n ],\n [\n -155.33339726285445,\n 19.47218468157476\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"172","noUsgsAuthors":false,"publicationDate":"2017-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Kendra J.","contributorId":346804,"corporation":false,"usgs":false,"family":"Lynn","given":"Kendra J.","affiliations":[{"id":82969,"text":"iversity of Delaware","active":true,"usgs":false}],"preferred":false,"id":919929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Michael O.","contributorId":225524,"corporation":false,"usgs":false,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":919930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Thomas","contributorId":236886,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":919931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":919932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":919933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223234,"text":"70223234 - 2017 - Source of salinity in the Broken Hill (Australia) Pb-Zn-Ag deposit: Insights from halogen ratios in fluid inclusions","interactions":[],"lastModifiedDate":"2021-08-18T13:29:48.360004","indexId":"70223234","displayToPublicDate":"2017-08-18T08:22:40","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Source of salinity in the Broken Hill (Australia) Pb-Zn-Ag deposit: Insights from halogen ratios in fluid inclusions","docAbstract":"The southern part of the Cascades Arc formed in two distinct, extended periods of activity: “High Cascades” volcanoes erupted during about the past 6 million years and were built on a wider platform of Tertiary volcanoes and shallow plutons as old as about 30 Ma, generally called the “Western Cascades.” For the most part, the Shasta segment (for example, Hildreth, 2007; segment 4 of Guffanti and Weaver, 1988) of the arc forms a distinct, fairly narrow axis of short-lived small- to moderate-sized High Cascades volcanoes that erupted lavas, mainly of basaltic-andesite or low-silica-andesite compositions. Western Cascades rocks crop out only sparsely in the Shasta segment; almost all of the following descriptions are of High Cascades features except for a few unusual localities where older, Western Cascades rocks are exposed to view along the route of the field trip.
The High Cascades arc axis in this segment of the arc is mainly a relatively narrow band of either monogenetic or short-lived shield volcanoes. The belt generally averages about 15 km wide and traverses the length of the Shasta segment, roughly 100 km between about the Klamath River drainage on the north, near the Oregon-California border, and the McCloud River drainage on the south (fig. 1). Superposed across this axis are two major long-lived stratovolcanoes and the large rear-arc Medicine Lake volcano. One of the stratovolcanoes, the Rainbow Mountain volcano of about 1.5–0.8 Ma, straddles the arc near the midpoint of the Shasta segment. The other, Mount Shasta itself, which ranges from about 700 ka to 0 ka, lies distinctly west of the High Cascades axis. It is notable that Mount Shasta and Medicine Lake volcanoes, although volcanologically and petrologically quite different, span about the same range of ages and bracket the High Cascades axis on the west and east, respectively.
The field trip begins near the southern end of the Shasta segment, where the Lassen Volcanic Center field trip leaves off, in a field of high-alumina olivine tholeiite lavas (HAOTs, referred to elsewhere in this guide as low-potassium olivine tholeiites, LKOTs). It proceeds around the southern, western, and northern flanks of Mount Shasta and onto a part of the arc axis. The stops feature elements of the Mount Shasta area in an approximately chronological order, from oldest to youngest.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022K3","usgsCitation":"Christiansen, R.L., Calvert, A.T., and Grove T.L., 2017, Geologic field-trip guide to Mount Shasta volcano, northern California: U.S. Geological Survey Scientific Investigations Report 2017-5022-K3, 33 p., https://doi.org/10.3133/sir20175022K3.","productDescription":"ix, 33 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-089120","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344950,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175022K","text":"Scientific Investigations Report 2017-5022-K","description":"SIR 2017-5022-K","linkHelpText":" - Chapter K: Overview for geologic field-trip guides to volcanoes of the Cascades Arc in northern California"},{"id":364156,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/k3/sir20175022_k3_geopdf.pdf","text":"Map of field-trip stops at Mount Shasta Volcano","size":"2.5 MB GeoPDF","description":"SIR 2017-5022-K3 GeoPDF","linkHelpText":" - To use the map, users need to download and install a mapping application for smartphone or tablet such as Avenza or Terra Go Toolbar."},{"id":344949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/k3/sir20175022_k3.pdf","text":"Report","size":"25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-K3"},{"id":344952,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175022K2","text":"Scientific Investigations Report 2017-5022-K2","description":"SIR 2017-5022-K2","linkHelpText":" - Chapter K2: Geologic Field-Trip Guide to the Lassen Segment of the Cascades Arc, Northern California"},{"id":344951,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175022K1","text":"Scientific Investigations Report 2017-5022-K1","description":"SIR 2017-5022-K1","linkHelpText":" - Chapter K1: Geologic Field-Trip Guide to Medicine Lake Volcano, Northern California, Including Lava Beds National Monument"},{"id":344948,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/k3/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mount Shasta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.40,\n 41\n ],\n [\n -121.92626953124999,\n 41\n ],\n [\n -121.92626953124999,\n 41.5\n ],\n [\n -122.40,\n 41.5\n ],\n [\n -122.40,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources of 35.1 trillion cubic feet of gas in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, Iran, and Afghanistan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173058","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Hawkins, S.J., Gaswirth, S.B., Marra, K.R., Klett, T.R., Le, P.A., Brownfield, M.E., and Woodall, C.A., 2017, Assessment of undiscovered continuous gas resources in the Amu Darya Basin Province of Turkmenistan, Uzbekistan, Iran, and Afghanistan, 2017: U.S. Geological Survey Fact Sheet 2017–3058, 2 p., https://doi.org/10.3133/fs20173058.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-087377","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344910,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20113154","text":"Fact Sheet 2011–3154:","linkHelpText":"Assessment of Undiscovered Oil and Gas Resources of the Amu Darya Basin and Afghan–Tajik Basin Provinces, Afghanistan, Iran, Tajikistan, Turkmenistan, and Uzbekistan, 2011"},{"id":344909,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3058/fs20173058.pdf ","text":"Report","size":"384 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3058"},{"id":344908,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3058/coverthb.jpg"}],"country":"Afghanistan, Iran, Turkmenistan, Uzbekistan","otherGeospatial":" Amu Darya Basin Province ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {\n \"stroke\": \"#555555\",\n \"stroke-width\": 2,\n \"stroke-opacity\": 1,\n \"fill\": \"#555555\",\n \"fill-opacity\": 0.5\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 56.920654296875,\n 32.72355492704221\n ],\n [\n 68.6650390625,\n 32.72355492704221\n ],\n [\n 68.6650390625,\n 42.28606238749825\n ],\n [\n 56.920654296875,\n 42.28606238749825\n ],\n [\n 56.920654296875,\n 32.72355492704221\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
This field-trip guide provides an overview of Quaternary volcanism in and around Lassen Volcanic National Park, California, emphasizing the stratigraphy of the Lassen Volcanic Center. The guide is designed to be self-guided and to focus on geologic features and stratigraphy that can be seen easily from the road network.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022K2","usgsCitation":"Clynne, M.A., and Muffler, L.J.P., 2017, Geologic field-trip guide to the Lassen segment of the Cascades Arc, northern California: U.S. Geological Survey Scientific Investigations Report 2017–5022–K2, 65 p., https://doi.org/10.3133/sir20175022K2.","productDescription":"Report: ix, 65 p.; 4 Related Works","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-089119","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344955,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175022K3","text":"Scientific Investigations Report 2017-5022-K3","description":"SIR 2017-5022-K3","linkHelpText":" - Chapter K3: Geologic Field-Trip Guide to Mount Shasta Volcano, Northern California"},{"id":344933,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/k2/sir20175022k2.pdf","text":"Report","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-K2"},{"id":344936,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175022K","text":"Scientific Investigations Report 2017-5022-K","description":"SIR 2017-5022-K","linkHelpText":" - Chapter K: Overview for geologic field-trip guides to volcanoes of the Cascades Arc in northern California"},{"id":344940,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175022K1","text":"Scientific Investigations Report 2017-5022-K1","description":"SIR 2017-5022-K1","linkHelpText":" - Chapter K1: Geologic Field-Trip Guide to Medicine Lake Volcano, Northern California, Including Lava Beds National Monument"},{"id":344932,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/k2/coverthb.jpg"},{"id":362964,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/k2/sir20175022k2_lassen_geopdf.pdf","text":"Map of field-trip stops in the Lassen segment of the Cascades Arc","size":"3 MB GeoPDF","description":"SIR 2017-5022-K2","linkHelpText":" - To use the map, users need to download and install a mapping application for smartphone or tablet such as Avenza or Terra Go Toolbar."}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 40\n ],\n [\n -120,\n 40\n ],\n [\n -120,\n 41\n ],\n [\n -122,\n 41\n ],\n [\n -122,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025