This chapter highlights some of the major developments in the understanding of the causes of metal stable isotope compositional variability in and isotope fractionation between natural materials and provides numerous examples of how that understanding is providing new insights into weathering and hydrology. At this stage, our knowledge of causes of stable isotope compositional variability among natural materials is greatest for the metals lithium, magnesium, calcium, and iron, the isotopes of which have already provided important information on weathering and hydrological processes. Stable isotope compositional variability for other metals such as strontium, copper, zinc, chromium, barium, molybdenum, mercury, cadmium, and nickel has been demonstrated but is only beginning to be applied to questions related to weathering and hydrology, and several research groups are currently exploring the potential. And then there are other metals such as titanium, vanadium, rhenium, and tungsten that have yet to be explored for variability of stable isotope composition in natural materials, but which may hold untold surprises in their utility. This impressive list of metals having either demonstrated or potential stable isotope signals that could be used to address important unsolved questions related to weathering and hydrology, constitutes a powerful toolbox that will be increasingly utilized in the coming decades.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elselvier","doi":"10.1016/B978-0-08-095975-7.00511-8","usgsCitation":"Bullen, T.D., 2014, Metal stable isotopes in weathering and hydrology, chap. 10 of Treatise on Geochemistry, v. 7, p. 329-359, https://doi.org/10.1016/B978-0-08-095975-7.00511-8.","productDescription":"31 p.","startPage":"329","endPage":"359","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042118","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":311146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","edition":"Second","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5643234ee4b0aafbcd01801f","contributors":{"editors":[{"text":"Holland, Heinrich","contributorId":149786,"corporation":false,"usgs":false,"family":"Holland","given":"Heinrich","email":"","affiliations":[],"preferred":false,"id":579567,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Turekian, K.","contributorId":111688,"corporation":false,"usgs":true,"family":"Turekian","given":"K.","email":"","affiliations":[],"preferred":false,"id":579568,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70154841,"text":"70154841 - 2014 - Condition Factor Analysis for the American alligator (Alligator mississippiensis)","interactions":[],"lastModifiedDate":"2015-08-17T11:30:26","indexId":"70154841","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Condition Factor Analysis for the American alligator (Alligator mississippiensis)","docAbstract":"No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Zweig, C.L., Rice, K.G., Percival, H.F., and Mazzotti, F., 2014, Condition Factor Analysis for the American alligator (Alligator mississippiensis): Herpetological Review, v. 45, no. 2, p. 216-219.","productDescription":"4 p.","startPage":"216","endPage":"219","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044489","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305b0e4b0518e35468ce2","contributors":{"authors":[{"text":"Zweig, Christa L.","contributorId":99767,"corporation":false,"usgs":true,"family":"Zweig","given":"Christa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":568247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","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":568248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Percival, H. Franklin percivalf@usgs.gov","contributorId":2424,"corporation":false,"usgs":true,"family":"Percival","given":"H.","email":"percivalf@usgs.gov","middleInitial":"Franklin","affiliations":[],"preferred":true,"id":564255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzotti, Frank J.","contributorId":90236,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank J.","affiliations":[],"preferred":false,"id":568249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150403,"text":"70150403 - 2014 - Establishing endangered species recovery criteria using predictive simulation modeling","interactions":[],"lastModifiedDate":"2015-06-24T09:43:12","indexId":"70150403","displayToPublicDate":"2015-06-24T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Establishing endangered species recovery criteria using predictive simulation modeling","docAbstract":"Listing a species under the Endangered Species Act (ESA) and developing a recovery plan requires U.S. Fish and Wildlife Service to establish specific and measurable criteria for delisting. Generally, species are listed because they face (or are perceived to face) elevated risk of extinction due to issues such as habitat loss, invasive species, or other factors. Recovery plans identify recovery criteria that reduce extinction risk to an acceptable level. It logically follows that the recovery criteria, the defined conditions for removing a species from ESA protections, need to be closely related to extinction risk. Extinction probability is a population parameter estimated with a model that uses current demographic information to project the population into the future over a number of replicates, calculating the proportion of replicated populations that go extinct. We simulated extinction probabilities of piping plovers in the Great Plains and estimated the relationship between extinction probability and various demographic parameters. We tested the fit of regression models linking initial abundance, productivity, or population growth rate to extinction risk, and then, using the regression parameter estimates, determined the conditions required to reduce extinction probability to some pre-defined acceptable threshold. Binomial regression models with mean population growth rate and the natural log of initial abundance were the best predictors of extinction probability 50 years into the future. For example, based on our regression models, an initial abundance of approximately 2400 females with an expected mean population growth rate of 1.0 will limit extinction risk for piping plovers in the Great Plains to less than 0.048. Our method provides a straightforward way of developing specific and measurable recovery criteria linked directly to the core issue of extinction risk. Published by Elsevier Ltd.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.06.018","usgsCitation":"McGowan, C., Catlin, D.H., Shaffer, T.L., Gratto-Trevor, C.L., and Aron, C., 2014, Establishing endangered species recovery criteria using predictive simulation modeling: Biological Conservation, v. 177, p. 220-229, https://doi.org/10.1016/j.biocon.2014.06.018.","productDescription":"10 p.","startPage":"220","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046359","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"177","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b1e4b0b6d21dd65290","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":556759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catlin, Daniel H.","contributorId":87859,"corporation":false,"usgs":false,"family":"Catlin","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":556762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":556760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gratto-Trevor, Cheri L.","contributorId":83630,"corporation":false,"usgs":true,"family":"Gratto-Trevor","given":"Cheri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":556763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aron, Carol","contributorId":143678,"corporation":false,"usgs":false,"family":"Aron","given":"Carol","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":556764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148027,"text":"70148027 - 2014 - Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon","interactions":[],"lastModifiedDate":"2019-04-24T16:25:07","indexId":"70148027","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon","docAbstract":"The rivers of western Oregon have diverse forms and characteristics, with channel substrates ranging from continuous alluvial gravel to bare bedrock. Analysis of several measurable morphologic attributes of 24 valley reaches on 17 rivers provides a basis for comparing nonalluvial and alluvial channels. Key differences are that alluvial reaches have greater bar area, greater migration rates, and show systematic correlation among variables relating grain size to bed-material transport capacity. We relate these differences between channel types to bed-material transport rates as derived from a coupled regional analysis of empirical sediment yield measurements and physical experiments of clast attrition during transport. This sediment supply analysis shows that overall bed-material transport rates for western Oregon are chiefly controlled by (1) lithology and basin slope, which are the key factors for bed-material supply into the stream network, and (2) lithologic control of bed-material attrition from in-transport abrasion and disintegration. This bed-material comminution strongly affects bed-material transport in the study area, reducing transport rates by 50%–90% along the length of the larger rivers in the study area. A comparison of the bed-material transport estimates with the morphologic analyses shows that alluvial gravel-bed channels have systematic and bounding relations between bed-material transport rate and attributes such as bar area and local transport capacity. By contrast, few such relations are evident for nonalluvial rivers with bedrock or mixed-bed substrates, which are apparently more influenced by local controls on channel geometry and sediment supply. At the scale of western Oregon, the physiographic and lithologic controls on the balance between bed-material supply and transport capacity exert far-reaching influence on the distribution of alluvial and nonalluvial channels and their consequently distinctive morphologies and behaviors—differences germane for understanding river response to tectonics and environmental perturbations, as well as for implementing effective restoration and monitoring strategies.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30831.1","usgsCitation":"O'Connor, J., Mangano, J.F., Anderson, S.A., Wallick, J., Jones, K.L., and Keith, M., 2014, Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon: GSA Bulletin, v. 126, no. 3-4, p. 377-397, https://doi.org/10.1130/B30831.1.","productDescription":"21 p.","startPage":"377","endPage":"397","ipdsId":"IP-042839","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":337807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.75,\n 46.75\n ],\n [\n -119,\n 46.75\n ],\n [\n -119,\n 39.5\n ],\n [\n -124.75,\n 39.5\n ],\n [\n -124.75,\n 46.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"3-4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"58ccf59ce4b0849ce97f0ce0","contributors":{"authors":[{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Scott A. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":150073,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":684957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallick, J. 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One of the goals of the Comprehensive Everglades Restoration Plan (CERP) is to restore historic freshwater flows to American crocodile habitat throughout the Everglades. To predict the impacts on the crocodile population from planned restoration activities, we created a stage-based spatially explicit crocodile population model that incorporated regional hydrology models and American crocodile research and monitoring data. Growth and survival were influenced by salinity, water depth, and density-dependent interactions. A stage-structured spatial model was used with discrete spatial convolution to direct crocodiles toward attractive sources where conditions were favorable. The model predicted that CERP would have both positive and negative impacts on American crocodile growth, survival, and distribution. Overall, crocodile populations across south Florida were predicted to decrease approximately 3 % with the implementation of CERP compared to future conditions without restoration, but local increases up to 30 % occurred in the Joe Bay area near Taylor Slough, and local decreases up to 30 % occurred in the vicinity of Buttonwood Canal due to changes in salinity and freshwater flows.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0370-0","usgsCitation":"Green, T.W., Slone, D.H., Swain, E.D., Cherkiss, M.S., Lohmann, M., Mazzotti, F., and Rice, K.G., 2014, Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model: Wetlands, v. 34, no. 1, p. 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Lauderdale","active":true,"usgs":true}],"preferred":true,"id":548424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":548425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":548426,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70041828,"text":"70041828 - 2014 - Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA","interactions":[],"lastModifiedDate":"2015-10-29T13:44:44","indexId":"70041828","displayToPublicDate":"2015-06-08T08:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA","docAbstract":"A large body of research exists that identifies and values ecosystem services - the benefits that ecosystems provide to humans (MA, 2005) - and their underlying ecological processes. However, the development of software decision support tools that integrate ecology, economics and geography that can be independently used within the public, private, academic and NGO sectors is a more recent phenomenon (Ruhl et al., 2007; Daily et al., 2009). Spurred by growing demand for more sophisticated analysis of the social and economic consequences of land management decisions, the US Department of Interior - Bureau of Land Management (BLM) launched a pilot project with the US Geological Survey (USGS) to assess the usefulness and feasibility of ecosystem service assessment and valuation tools to provide inputs to decision-making. The project analysed ecosystem services in the US portion of the San Pedro River watershed, which includes the BLM-managed San Pedro Riparian National Conservation Area (SPRNCA), to improve the understanding of complex social and ecological relationships that transcend administrative divisions. The BLM manages some 99 million hectares, primarily in the western United States, and 283 million hectares of sub-surface mineral estate. BLM's multiple-use mission requires that it appropriately balance non-extractive uses such as habitat conservation, recreation and archaeological heritage protection and the extractive use of resources such as timber, oil and gas, coal, uranium, and other minerals.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook on the Economics of Ecosystem Services and Biodiversity","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elgar","doi":"10.4337/9781781951514","usgsCitation":"Bagstad, K.J., Semmens, D.J., Villa, F., and Johnson, G., 2014, Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA, chap. 10 of Handbook on the Economics of Ecosystem Services and Biodiversity, p. 169-192, https://doi.org/10.4337/9781781951514.","productDescription":"24 p.","startPage":"169","endPage":"192","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039016","costCenters":[],"links":[{"id":310774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.70898437499999,\n 31.3348710339506\n ],\n [\n -111.70898437499999,\n 32.67174887226337\n ],\n [\n -109.44580078125,\n 32.67174887226337\n ],\n [\n -109.44580078125,\n 31.3348710339506\n ],\n [\n -111.70898437499999,\n 31.3348710339506\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334340e4b048076347eedc","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":515906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Gary","contributorId":119193,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","affiliations":[],"preferred":false,"id":515907,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169897,"text":"70169897 - 2014 - The global dispersion of pathogenic microorganisms by dust storms and its relevance to agriculture","interactions":[],"lastModifiedDate":"2020-05-14T18:21:38.312277","indexId":"70169897","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"The global dispersion of pathogenic microorganisms by dust storms and its relevance to agriculture","docAbstract":"Dust storms move an estimated 500–5000 Tg of soil through Earth’s atmosphere every year. Dust-storm transport of topsoils may have positive effects such as fertilization of aquatic and terrestrial ecosystems and the evolution of soils in proximal and distal environments. Negative effects may include the stripping of nutrient-rich topsoils from source regions, sandblasting of plant life in downwind environments, the fertilization of harmful algal blooms, and the transport of toxins (e.g., metals, pesticides, herbicides, etc.) and pathogenic microorganisms. With respect to the long-range dispersion of microorganisms and more specifically pathogens, research is just beginning to demonstrate the quantity and diversity of organisms that can survive this type of transport. Most studies to date have utilized different assays to identify microorganisms and microbial communities using predominately culture-based, and more recently nonculture-based, methodologies. There is a clear need for international-scale research efforts that apply standardized methods to advance this field of science. Here we present a review of dust-borne microorganisms with a focus on their relevance to agronomy.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in agronomy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-800131-8.00001-7","issn":"","isbn":"","usgsCitation":"Gonzalez-Martin, C., Teigell-Perez, N., Valladares, B., and Griffin, D.W., 2014, The global dispersion of pathogenic microorganisms by dust storms and its relevance to agriculture, chap. 1 of Advances in agronomy, v. 127, p. 1-41, https://doi.org/10.1016/B978-0-12-800131-8.00001-7.","productDescription":"41 p.","startPage":"1","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053501","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488551,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7150032","text":"External Repository"},{"id":320168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571756fee4b0ef3b7caa6407","contributors":{"authors":[{"text":"Gonzalez-Martin, Cristina","contributorId":30084,"corporation":false,"usgs":true,"family":"Gonzalez-Martin","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":625517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teigell-Perez, Nuria","contributorId":53216,"corporation":false,"usgs":true,"family":"Teigell-Perez","given":"Nuria","email":"","affiliations":[],"preferred":false,"id":625518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valladares, Basilio","contributorId":62451,"corporation":false,"usgs":true,"family":"Valladares","given":"Basilio","email":"","affiliations":[],"preferred":false,"id":625519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625516,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70100260,"text":"70100260 - 2014 - Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods","interactions":[],"lastModifiedDate":"2020-03-05T12:19:16","indexId":"70100260","displayToPublicDate":"2015-05-28T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods","docAbstract":"Lake Ontario has a mean depth of 86 m (282 ft) and a maximum depth of 244 m (801 ft) (Herdendorf 1982). The southern, New York portion of the lake has the deepest water (Figure 1). In New York waters, about 67% of the lake is <160 m (525 ft) deep and about 82% of the lake is <180 m (591 ft) deep. The U.S. Geological Survey (USGS) and New York State Department of Environmental Conservation (NYSDEC) have cooperatively assessed Lake Ontario prey fishes each year since 1978. Bottom trawl assessments were initially focused on Alewife Alosa pseudoharengus (April), Rainbow Smelt Osmerus mordax (June), and Slimy Sculpin Cottus cognatus (October). Seasonal survey timing corresponded to the peak catches in 1972 when collections were made every month May to October (Owens et al. 2003). Twelve transects were established at approximately 25-km intervals along the U.S. shoreline (Figure 2). Alewife assessment was conducted at all transects, Rainbow Smelt assessment at all transects except Fair Haven, and six transects representing eastern, southern, and western lake areas were sampled for Slimy Sculpin (Figure 2). Changes in the Lake Ontario ecosystem (species invasion, oligotrophication, native species rebound) require ongoing evaluation of current methods which sometimes necessitate redistribution of trawl effort, or changes in sampling designs and/or gear. For instance, the spring Alewife assessment is now used also to assess invasive Round Goby Neogobius melanostomus population dynamics. Likewise, the fall benthic fish assessment (formerly sculpin assessment) now also tracks dynamics of the rebounding native Deepwater Sculpin Myoxocephalus thompsonii population, the apparent declining population of Slimy Sculpin, and fall distribution of Round Goby.
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mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evrard, Lori M. 0000-0001-8582-5818 levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":2502,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","email":"dyule@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148035,"text":"70148035 - 2014 - Explanation of temporal clustering of tsunami sources using the epidemic-type aftershock sequence model","interactions":[],"lastModifiedDate":"2015-05-18T11:45:07","indexId":"70148035","displayToPublicDate":"2015-05-14T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Explanation of temporal clustering of tsunami sources using the epidemic-type aftershock sequence model","docAbstract":"Temporal clustering of tsunami sources is examined in terms of a branching process model. It previously was observed that there are more short interevent times between consecutive tsunami sources than expected from a stationary Poisson process. The epidemic‐type aftershock sequence (ETAS) branching process model is fitted to tsunami catalog events, using the earthquake magnitude of the causative event from the Centennial and Global Centroid Moment Tensor (CMT) catalogs and tsunami sizes above a completeness level as a mark to indicate that a tsunami was generated. The ETAS parameters are estimated using the maximum‐likelihood method. The interevent distribution associated with the ETAS model provides a better fit to the data than the Poisson model or other temporal clustering models. When tsunamigenic conditions (magnitude threshold, submarine location, dip‐slip mechanism) are applied to the Global CMT catalog, ETAS parameters are obtained that are consistent with those estimated from the tsunami catalog. In particular, the dip‐slip condition appears to result in a near zero magnitude effect for triggered tsunami sources. The overall consistency between results from the tsunami catalog and that from the earthquake catalog under tsunamigenic conditions indicates that ETAS models based on seismicity can provide the structure for understanding patterns of tsunami source occurrence. The fractional rate of triggered tsunami sources on a global basis is approximately 14%.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130275","usgsCitation":"Geist, E.L., 2014, Explanation of temporal clustering of tsunami sources using the epidemic-type aftershock sequence model: Bulletin of the Seismological Society of America, v. 104, no. 4, p. 2091-2103, https://doi.org/10.1785/0120130275.","productDescription":"13 p.","startPage":"2091","endPage":"2103","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052031","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-01","publicationStatus":"PW","scienceBaseUri":"5555b931e4b0a92fa7e95122","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":546907,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148036,"text":"70148036 - 2014 - Offset of latest pleistocene shoreface reveals slip rate on the Hosgri strike-slip fault, offshore central California","interactions":[],"lastModifiedDate":"2015-05-14T09:10:43","indexId":"70148036","displayToPublicDate":"2015-05-14T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Offset of latest pleistocene shoreface reveals slip rate on the Hosgri strike-slip fault, offshore central California","docAbstract":"The Hosgri fault is the southern part of the regional Hosgri–San Gregorio dextral strike‐slip fault system, which extends primarily in the offshore for about 400 km in central California. Between Morro Bay and San Simeon, high‐resolution multibeam bathymetry reveals that the eastern strand of the Hosgri fault is crossed by an ∼265 m wide slope interpreted as the shoreface of a latest Pleistocene sand spit. This sand spit crossed an embayment and connected a western fault‐bounded bedrock peninsula and an eastern bedrock highland, a paleogeography resembling modern coastal geomorphology along the San Andreas fault. Detailed analysis of the relict shoreface with slope profiles and slope maps indicates a lateral slip rate of 2.6±0.9 mm/yr, considered a minimum rate for the Hosgri given the presence of an active western strand. This slip rate indicates that the Hosgri system takes up the largest share of the strike‐slip fault budget and is the most active strike‐slip fault west of the San Andreas fault in central California. This result further demonstrates the value and potential of high‐resolution bathymetry in characterization of active offshore faults.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130257","usgsCitation":"Johnson, S.Y., Hartwell, S., and Dartnell, P., 2014, Offset of latest pleistocene shoreface reveals slip rate on the Hosgri strike-slip fault, offshore central California: Bulletin of the Seismological Society of America, v. 104, no. 4, p. 1650-1662, https://doi.org/10.1785/0120130257.","productDescription":"13 p.","startPage":"1650","endPage":"1662","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051884","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Hosgri-San Gregorio fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4091796875,\n 36.12012758978146\n ],\n [\n -124.4091796875,\n 39.01064750994083\n ],\n [\n -120.47607421874999,\n 39.01064750994083\n ],\n [\n -120.47607421874999,\n 36.12012758978146\n ],\n [\n -124.4091796875,\n 36.12012758978146\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-01","publicationStatus":"PW","scienceBaseUri":"5555b934e4b0a92fa7e9512a","contributors":{"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":546908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartwell, Stephen R. 0000-0002-3522-7526 shartwell@usgs.gov","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":138973,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen R.","email":"shartwell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":546909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":546910,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70146876,"text":"70146876 - 2014 - Continuous monitoring of Hawaiian volcanoes with thermal cameras","interactions":[],"lastModifiedDate":"2019-03-13T09:22:17","indexId":"70146876","displayToPublicDate":"2015-04-23T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Continuous monitoring of Hawaiian volcanoes with thermal cameras","docAbstract":"Continuously operating thermal cameras are becoming more common around the world for volcano monitoring, and offer distinct advantages over conventional visual webcams for observing volcanic activity. Thermal cameras can sometimes “see” through volcanic fume that obscures views to visual webcams and the naked eye, and often provide a much clearer view of the extent of high temperature areas and activity levels. We describe a thermal camera network recently installed by the Hawaiian Volcano Observatory to monitor Kīlauea’s summit and east rift zone eruptions (at Halema‘uma‘u and Pu‘u ‘Ō‘ō craters, respectively) and to keep watch on Mauna Loa’s summit caldera. The cameras are long-wave, temperature-calibrated models protected in custom enclosures, and often positioned on crater rims close to active vents. Images are transmitted back to the observatory in real-time, and numerous Matlab scripts manage the data and provide automated analyses and alarms. The cameras have greatly improved HVO’s observations of surface eruptive activity, which includes highly dynamic lava lake activity at Halema‘uma‘u, major disruptions to Pu‘u ‘Ō‘ō crater and several fissure eruptions.
","language":"English","publisher":"Springer","doi":"10.1186/2191-5040-3-1","usgsCitation":"Patrick, M.R., Orr, T., Antolik, L., Lee, R., and Kamibayashi, K.P., 2014, Continuous monitoring of Hawaiian volcanoes with thermal cameras: Journal of Applied Volcanology, v. 3, no. 1, 19 p., https://doi.org/10.1186/2191-5040-3-1.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049889","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2191-5040-3-1","text":"Publisher Index Page"},{"id":299837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano, Mauna Loa volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.61206817626953,\n 19.44134189745715\n ],\n [\n -155.61206817626953,\n 19.49701689695543\n ],\n [\n -155.57052612304688,\n 19.49701689695543\n ],\n [\n -155.57052612304688,\n 19.44134189745715\n ],\n [\n -155.61206817626953,\n 19.44134189745715\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.29552459716797,\n 19.395687095370263\n ],\n [\n -155.29552459716797,\n 19.43227671629882\n ],\n [\n -155.24127960205078,\n 19.43227671629882\n ],\n [\n -155.24127960205078,\n 19.395687095370263\n ],\n [\n -155.29552459716797,\n 19.395687095370263\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-21","publicationStatus":"PW","scienceBaseUri":"553a09b3e4b0c1efddaed133","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":545430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":140376,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":545431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antolik, Loren lantolik@usgs.gov","contributorId":4144,"corporation":false,"usgs":true,"family":"Antolik","given":"Loren","email":"lantolik@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":545432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Robert Lopaka rclee@usgs.gov","contributorId":1984,"corporation":false,"usgs":true,"family":"Lee","given":"Robert Lopaka","email":"rclee@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":545433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamibayashi, Kevan P. kevank@usgs.gov","contributorId":5184,"corporation":false,"usgs":true,"family":"Kamibayashi","given":"Kevan","email":"kevank@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":545434,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70146521,"text":"70146521 - 2014 - Upwelling rebound, ephemeral secondary pycnoclines, and the creation of a near-bottom wave guide over the Monterey Bay continental shelf","interactions":[],"lastModifiedDate":"2019-12-11T08:37:01","indexId":"70146521","displayToPublicDate":"2015-04-16T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Upwelling rebound, ephemeral secondary pycnoclines, and the creation of a near-bottom wave guide over the Monterey Bay continental shelf","docAbstract":"Several sequential upwelling events were observed in fall 2012, using measurements from the outer half of the continental shelf in Monterey Bay, during which the infiltration of dense water onto the shelf created a secondary, near-bottom pycnocline. This deep pycnocline existed in concert with the near-surface pycnocline and enabled the propagation of near-bottom, cold, semidiurnal internal tidal bores, as well as energetic, high-frequency, nonlinear internal waves of elevation (IWOE). The IWOE occurred within 20 m of the bottom, had amplitudes of 8–24 m, periods of 6–45 min, and depth-integrated energy fluxes up to 200 W m−1. Iribarren numbers (<0.03) indicate that these IWOE were nonbreaking in this region of the shelf. These observations further demonstrate how regional upwelling dynamics and the resulting bulk, cross-margin hydrography is a first-order control on the ability of internal waves, at tidal and higher frequencies, to propagate through continental shelf waters.
","language":"English","publisher":"Wiley","doi":"10.1002/2014GL061897","usgsCitation":"Cheriton, O., McPhee-Shaw, E.E., Storlazzi, C., Rosenberger, K.J., Shaw, W.J., and Raanan, B.Y., 2014, Upwelling rebound, ephemeral secondary pycnoclines, and the creation of a near-bottom wave guide over the Monterey Bay continental shelf: Geophysical Research Letters, v. 41, no. 23, p. 8503-8511, https://doi.org/10.1002/2014GL061897.","productDescription":"9 p.","startPage":"8503","endPage":"8511","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059129","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl061897","text":"Publisher Index Page"},{"id":299719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.36022949218749,\n 36.465471886798134\n ],\n [\n -121.69006347656249,\n 36.465471886798134\n ],\n [\n -121.69006347656249,\n 37.08585785263673\n ],\n [\n -122.36022949218749,\n 37.08585785263673\n ],\n [\n -122.36022949218749,\n 36.465471886798134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"23","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"5530cf20e4b0b22a15806143","chorus":{"doi":"10.1002/2014gl061897","url":"http://dx.doi.org/10.1002/2014gl061897","publisher":"Wiley-Blackwell","authors":"Cheriton Olivia M., McPhee-Shaw Erika E., Storlazzi Curt D., Rosenberger Kurt J., Shaw William J., Raanan Ben Y.","journalName":"Geophysical Research Letters","publicationDate":"12/5/2014","auditedOn":"6/11/2015"},"contributors":{"authors":[{"text":"Cheriton, Olivia M. 0000-0003-3011-9136 ocheriton@usgs.gov","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":5476,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia M.","email":"ocheriton@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":545022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhee-Shaw, Erika E.","contributorId":77855,"corporation":false,"usgs":true,"family":"McPhee-Shaw","given":"Erika","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":545023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":545024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Kurt J. krosenberger@usgs.gov","contributorId":2575,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":545025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaw, William J.","contributorId":79029,"corporation":false,"usgs":true,"family":"Shaw","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":545026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raanan, Ben Y.","contributorId":140287,"corporation":false,"usgs":false,"family":"Raanan","given":"Ben","email":"","middleInitial":"Y.","affiliations":[{"id":12639,"text":"Moss Landing Marine Labs","active":true,"usgs":false}],"preferred":false,"id":545027,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70146523,"text":"70146523 - 2014 - Terrestrial bird population trends on Aguiguan (Goat Island), Mariana Islands","interactions":[],"lastModifiedDate":"2018-01-09T16:46:24","indexId":"70146523","displayToPublicDate":"2015-04-16T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1048,"text":"Bird Conservation International","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial bird population trends on Aguiguan (Goat Island), Mariana Islands","docAbstract":"The island of Aguiguan is part of the Mariana archipelago and currently supports populations of four endemic species, including one endemic genus, Cleptornis. Bird population trends since 1982 were recently assessed on the neighbouring islands of Saipan, Tinian, and Rota indicating declines in some native species. Point-transect surveys were conducted in 2008 by the U.S. Fish and Wildlife Service to assess population densities and trends on Aguiguan. Densities for six of the nine native birds—White-throated Ground-dove Gallicolumba xanthonura, Collared Kingfisher Todiramphus chloris, Rufous Fantail Rhipidura rufifrons, Golden White-eye Cleptornis marchei, Bridled White-eye Zosterops conspicillatus and Micronesian Starling Aplonis opaca—and the non-native bird—Island Collared-dove Streptopelia bitorquata—were significantly greater in 2008 than in 1982. No differences in densities were detected among the surveys for Mariana Fruit-dove Ptilinopus roseicapilla, and Micronesian MyzomelaMyzomela rubratra. Three federally and locally listed endangered birds—Nightingale Reed-warbler Acrocephalus luscinius, Mariana Swiftlet Collocalia bartschi, and Micronesian Megapode Megapodius laperous)—were either not detected during the point-transect counts, the surveys were not appropriate for the species, or the numbers of birds detected were too small to estimate densities. The factors behind the increasing trends for some species are unknown but may be related to increased forest cover on the island since 1982. With declining trends for some native species on neighbouring islands, the increasing and stable trends on Aguiguan is good news for forest bird populations in the region, as Aguiguan populations can help support conservation efforts on other islands in the archipelago.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0959270914000021","usgsCitation":"Amidon, F., Camp, R., Marshall, A.P., Pratt, T.K., Williams, L., Radley, P., and Cruz, J.B., 2014, Terrestrial bird population trends on Aguiguan (Goat Island), Mariana Islands: Bird Conservation International, v. 24, no. 4, p. 505-517, https://doi.org/10.1017/S0959270914000021.","productDescription":"13 p.","startPage":"505","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054007","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":472515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0959270914000021","text":"Publisher Index Page"},{"id":299718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Aguiguan Island, Mariana Islands","volume":"24","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-02","publicationStatus":"PW","scienceBaseUri":"5530cf20e4b0b22a15806141","contributors":{"authors":[{"text":"Amidon, Fred","contributorId":62934,"corporation":false,"usgs":false,"family":"Amidon","given":"Fred","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":545034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. rick_camp@usgs.gov","contributorId":2952,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","email":"rick_camp@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":545032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Ann P.","contributorId":140290,"corporation":false,"usgs":false,"family":"Marshall","given":"Ann","email":"","middleInitial":"P.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":545035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thane K. tkpratt@usgs.gov","contributorId":5495,"corporation":false,"usgs":true,"family":"Pratt","given":"Thane","email":"tkpratt@usgs.gov","middleInitial":"K.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":545033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Laura","contributorId":140291,"corporation":false,"usgs":false,"family":"Williams","given":"Laura","affiliations":[{"id":13444,"text":"US Navy","active":true,"usgs":false}],"preferred":false,"id":545036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Radley, Paul","contributorId":140292,"corporation":false,"usgs":false,"family":"Radley","given":"Paul","affiliations":[{"id":13445,"text":"CNMI Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":545037,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cruz, Justine B.","contributorId":140293,"corporation":false,"usgs":false,"family":"Cruz","given":"Justine","email":"","middleInitial":"B.","affiliations":[{"id":13445,"text":"CNMI Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":545038,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70101942,"text":"70101942 - 2014 - Pedological and geological relationships with soil lichen and moss distribution in the eastern Mojave Desert, CA, USA","interactions":[],"lastModifiedDate":"2017-11-22T11:56:37","indexId":"70101942","displayToPublicDate":"2015-04-14T16:16:37","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Pedological and geological relationships with soil lichen and moss distribution in the eastern Mojave Desert, CA, USA","docAbstract":"Biological soil crusts (biocrusts) are ubiquitous in drylands globally. Lichens and mosses are essential biocrust components and provide a variety of ecosystem services, making their conservation and management of interest. Accordingly, understanding what factors are correlated with their distribution is important to land managers. We hypothesized that cover would be related to geologic and pedologic factors. We sampled 32 sites throughout the eastern Mojave Desert, stratifying by parent material and the age of the geomorphic surfaces. The cover of lichens and mosses on ‘available ground’ (L + Mav; available ground excludes ground covered by rocks or plant stems) was higher on limestone and quartzite-derived soils than granite-derived soils. Cover was also higher on moderately younger-aged geomorphic surfaces (Qya2, Qya3, Qya4) and cutbanks than on very young (Qya1), older-aged surfaces (Qia1, Qia2), or soils associated with coppice mounds or animal burrowing under Larrea tridentata. When all sites and parent materials were combined, soil texture was the most important factor predicting the occurrence of L + Mav, with cover positively associated with higher silt, very fine sand, and fine sand fractions and negatively associated with the very coarse sand fraction. 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Its fossil-fuel-bearing strata range in age from Cambrian to Permian and extend over the States of New York, Pennsylvania, Maryland, Ohio, West Virginia, Virginia, Kentucky, Tennessee, Georgia, and Alabama. The basin has provided abundant fossil fuels to support the Nation’s economic growth for at least 150 years and U.S. Geological Survey (USGS) assessments suggest that substantial untapped resources remain. A merger of new and old geologic data and ideas is required to locate and extract those remaining resources.
\nThis chapter brings together abundant existing datasets in a common and integrated spatial format to advance our understanding of the distribution, geologic framework, burial history, and geochemical character of the basin’s oil, gas, and coal resources. These datasets support the information and findings in chapters B through G of this volume, which include (1) geologic cross sections, seismic profiles, and burial history models that document the depositional and structural framework of the basin; (2) assessments of Carboniferous coal-bed gas and Devonian shale gas; (3) studies about the distribution of oil, gas, and coal fields and the geochemistry of natural gas and oil; and (4) a history of fossil-fuel production in the basin.
\nThe data that supported these studies were refined and made more accessible using geographic information system (GIS) tools. The following types of data are included: (1) the bedrock geology of States included within the boundary of the Appalachian basin, (2) the locations of oil and gas wells and fields, (3) data produced for the National Oil and Gas Assessment, and (4) the stratigraphy, geochemistry, and production of coal. Data layers are available in shapefile and Zipped Keyhole Markup Language (KMZ) formats, which can be viewed using ArcGIS, Google Earth, or any software package that supports these data formats.
\nMetadata for these datasets are available in HTML and XML formats. Metadata files contain information about the sources of data used to create the dataset, the creation process steps, the data quality, the geographic coordinate system and horizontal datum used for the dataset, the values of attributes used in the dataset table, information about the publication and the publishing organization, and other information that may be useful to the reader. All links in the metadata were valid at the time of compilation. Some of these links may no longer be valid. No attempt has been made to determine the new online location (if one exists) for the data.
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Jr. 0000-0002-5232-5849 jlcoleman@usgs.gov","orcid":"https://orcid.org/0000-0002-5232-5849","contributorId":549,"corporation":false,"usgs":true,"family":"Coleman","given":"James","suffix":"Jr.","email":"jlcoleman@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":542920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryder, Robert T.","contributorId":77918,"corporation":false,"usgs":true,"family":"Ryder","given":"Robert T.","affiliations":[],"preferred":false,"id":542919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milici, Robert C. rmilici@usgs.gov","contributorId":563,"corporation":false,"usgs":true,"family":"Milici","given":"Robert","email":"rmilici@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":542921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Stephen","contributorId":40096,"corporation":false,"usgs":true,"family":"Brown","given":"Stephen","affiliations":[],"preferred":false,"id":542922,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70055520,"text":"pp1708G.12 - 2014 - The geochemistry of oils and gases from the Cumberland overthrust sheet in Virginia and Tennessee","interactions":[{"subject":{"id":70055520,"text":"pp1708G.12 - 2014 - The geochemistry of oils and gases from the Cumberland overthrust sheet in Virginia and Tennessee","indexId":"pp1708G.12","publicationYear":"2014","noYear":false,"chapter":"G.12","title":"The geochemistry of oils and gases from the Cumberland overthrust sheet in Virginia and Tennessee"},"predicate":"IS_PART_OF","object":{"id":70143874,"text":"pp1708 - 2014 - Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character","indexId":"pp1708","publicationYear":"2014","noYear":false,"title":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character"},"id":1}],"isPartOf":{"id":70143874,"text":"pp1708 - 2014 - Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character","indexId":"pp1708","publicationYear":"2014","noYear":false,"title":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character"},"lastModifiedDate":"2020-05-14T18:43:08.284524","indexId":"pp1708G.12","displayToPublicDate":"2015-04-02T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1708","chapter":"G.12","title":"The geochemistry of oils and gases from the Cumberland overthrust sheet in Virginia and Tennessee","docAbstract":"This study presents high-resolution gas chromatograms of oils and molecular and isotopic analyses of oil-associated gases from 17 wells producing in the Upper Cambrian to Lower Ordovician Knox Group, the Middle and Upper Ordovician Stones River Group, and the Upper Ordovician Trenton Limestone in the Cumberland overthrust sheet. The wells are located in the Ben Hur and Rose Hill fields in Lee County, Va., and in the Swan Creek field in Hancock and Claiborne Counties, Tenn. They produce oils typical of those from source rocks that are rich in Gloeocapsomorpha prisca (G. prisca) (Assemblage A-type kerogen). The Rose Hill oils appear to come from a source that contains a higher proportion of Assemblage A-type kerogen than the Ben Hur and Swan Creek oils. Extrapolation of the δ13C compositions of oil-associated gases to possible kerogen compositions gives estimates of -23 to -24 per mil within the range of isotopic compositions of known G. prisca source material. Gases produced from the Knox Group wells in the Swan Creek field are different from those in the Middle and Upper Ordovician reservoirs and come from a source with a broader range of isotopic values. Trends in isotopic and gasoline-range compositional parameters of the oils and associated gas isotopic and molecular compositions are most likely influenced by changes in local source depositional facies.
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2014 - Assessment of Appalachian basin oil and gas resources: Utica-Lower Paleozoic Total Petroleum System","interactions":[{"subject":{"id":70048890,"text":"pp1708G.10 - 2014 - Assessment of Appalachian basin oil and gas resources: Utica-Lower Paleozoic Total Petroleum System","indexId":"pp1708G.10","publicationYear":"2014","noYear":false,"chapter":"G.10","title":"Assessment of Appalachian basin oil and gas resources: Utica-Lower Paleozoic Total Petroleum System"},"predicate":"IS_PART_OF","object":{"id":70143874,"text":"pp1708 - 2014 - Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character","indexId":"pp1708","publicationYear":"2014","noYear":false,"title":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character"},"id":1}],"isPartOf":{"id":70143874,"text":"pp1708 - 2014 - Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character","indexId":"pp1708","publicationYear":"2014","noYear":false,"title":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character"},"lastModifiedDate":"2020-05-14T18:51:07.317706","indexId":"pp1708G.10","displayToPublicDate":"2015-04-02T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1708","chapter":"G.10","title":"Assessment of Appalachian basin oil and gas resources: Utica-Lower Paleozoic Total Petroleum System","docAbstract":"The Utica-Lower Paleozoic Total Petroleum System (TPS) in the Appalachian Basin Province is named for the Upper Ordovician Utica Shale, which is the source rock, and for multiple lower Paleozoic sandstone and carbonate units that are the important reservoirs. The total organic carbon (TOC) values for the Utica Shale are usually greater than 1 weight percent. TOC values ranging from 2 to 3 weight percent outline a broad, northeast-trending area that extends across western and southern Pennsylvania, eastern Ohio, northern West Virginia, and southeastern New York. The Utica Shale is characterized by type II kerogen, which is a variety of kerogen that is typically prone to oil generation. Conondont color-alteration index (CAI) isograds, which are based on samples from the Upper Ordovician Trenton Limestone (or Group), indicate that a pod of mature Utica Shale source rocks occupies most of the TPS.
\nThe following strata (in ascending stratigraphic order) are the most important reservoir rocks for oil and gas in the Utica-Lower Paleozoic TPS: (1) the Upper Cambrian Copper Ridge dolomite in Ohio; (2) the Upper Cambrian Rose Run sandstone in Ohio; (3) the Upper Ordovician Black River Limestone (or Group) and Trenton Limestone in New York, West Virginia, and Ohio; (4) the Lower Silurian “Clinton” sandstone, Medina sandstone, Medina Group sandstones, and Tuscarora Sandstone in Ohio, Pennsylvania, New York, and West Virginia; and (5) the Lower and Upper Silurian Lockport Dolomite (also known as the Newburg zone) in Ohio. Strata containing oil and gas reservoirs of secondary importance are sandstone reservoirs in the Upper Ordovician Queenston Shale in New York, the Upper Ordovician Bald Eagle Sandstone in Pennsylvania, and the Upper Silurian Williamsport Sandstone (also known as the Newburg sandstone) in West Virginia. The Upper Ordovician Utica Shale may be an important gas and oil(?) reservoir in the future. In about 2011, after this report was written, commercial natural gas and oil was discovered in the Utica Shale in eastern Ohio.
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