{"pageNumber":"1466","pageRowStart":"36625","pageSize":"25","recordCount":184634,"records":[{"id":70057609,"text":"70057609 - 2013 - Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic","interactions":[],"lastModifiedDate":"2013-11-26T13:02:23","indexId":"70057609","displayToPublicDate":"2013-10-01T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic","docAbstract":"In response to a call from the US National Research Council for research programs to combine their data to improve sea turtle population assessments, we analyzed somatic growth data for Northwest Atlantic (NWA) loggerhead sea turtles (Caretta caretta) from 10 research programs. We assessed growth dynamics over wide ranges of geography (9–33°N latitude), time (1978–2012), and body size (35.4–103.3 cm carapace length). Generalized additive models revealed significant spatial and temporal variation in growth rates and a significant decline in growth rates with increasing body size. Growth was more rapid in waters south of the USA (<24°N) than in USA waters. Growth dynamics in southern waters in the NWA need more study because sample size was small. Within USA waters, the significant spatial effect in growth rates of immature loggerheads did not exhibit a consistent latitudinal trend. Growth rates declined significantly from 1997 through 2007 and then leveled off or increased. During this same interval, annual nest counts in Florida declined by 43 % (Witherington et al. in Ecol Appl 19:30–54, 2009) before rebounding. Whether these simultaneous declines reflect responses in productivity to a common environmental change should be explored to determine whether somatic growth rates can help interpret population trends based on annual counts of nests or nesting females. Because of the significant spatial and temporal variation in growth rates, population models of NWA loggerheads should avoid employing growth data from restricted spatial or temporal coverage to calculate demographic metrics such as age at sexual maturity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00227-013-2264-y","usgsCitation":"Bjorndal, K.A., Schroeder, B.A., Foley, A., Witherington, B.E., Bresette, M., Clark, D., Herren, R.M., Arendt, M.D., Schmid, J., Meylan, A.B., Meylan, P.A., Provancha, J., Hart, K.M., Lamont, M.M., Carthy, R.R., and Bolten, A.B., 2013, Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic: Marine Biology, v. 160, no. 10, p. 2711-2721, https://doi.org/10.1007/s00227-013-2264-y.","productDescription":"11 p.","startPage":"2711","endPage":"2721","numberOfPages":"11","temporalStart":"1978-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-044468","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279837,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00227-013-2264-y"}],"country":"United States","otherGeospatial":"Northwest Atlantic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.6,9.0 ], [ -81.6,33.0 ], [ -51.9,33.0 ], [ -51.9,9.0 ], [ -81.6,9.0 ] ] ] } } ] }","volume":"160","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-07","publicationStatus":"PW","scienceBaseUri":"5295d12be4b0becc369c8c9c","contributors":{"authors":[{"text":"Bjorndal, Karen A.","contributorId":96997,"corporation":false,"usgs":false,"family":"Bjorndal","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Barbara A.","contributorId":87853,"corporation":false,"usgs":true,"family":"Schroeder","given":"Barbara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Allen M.","contributorId":80178,"corporation":false,"usgs":true,"family":"Foley","given":"Allen M.","affiliations":[],"preferred":false,"id":486850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witherington, Blair E.","contributorId":60117,"corporation":false,"usgs":true,"family":"Witherington","given":"Blair","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bresette, Michael","contributorId":61335,"corporation":false,"usgs":true,"family":"Bresette","given":"Michael","email":"","affiliations":[],"preferred":false,"id":486848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, David","contributorId":95383,"corporation":false,"usgs":true,"family":"Clark","given":"David","affiliations":[],"preferred":false,"id":486853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herren, Richard M.","contributorId":46409,"corporation":false,"usgs":true,"family":"Herren","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arendt, Michael D.","contributorId":105639,"corporation":false,"usgs":true,"family":"Arendt","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":486855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmid, Jeffrey R.","contributorId":79794,"corporation":false,"usgs":true,"family":"Schmid","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":486849,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meylan, Anne B.","contributorId":36045,"corporation":false,"usgs":true,"family":"Meylan","given":"Anne","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":486844,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meylan, Peter A.","contributorId":82609,"corporation":false,"usgs":true,"family":"Meylan","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486851,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Provancha, Jane A.","contributorId":56551,"corporation":false,"usgs":true,"family":"Provancha","given":"Jane A.","affiliations":[],"preferred":false,"id":486846,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486840,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486842,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":486841,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bolten, Alan B.","contributorId":20247,"corporation":false,"usgs":false,"family":"Bolten","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486843,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70047259,"text":"70047259 - 2013 - Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","interactions":[],"lastModifiedDate":"2013-11-07T13:08:24","indexId":"70047259","displayToPublicDate":"2013-10-01T12:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","docAbstract":"Spawning salmon deliver annual pulses of marine-derived nutrients (MDN) to riverine ecosystems around the Pacific Rim, leading to increased growth and condition in aquatic and riparian biota. The influence of pulsed resources may last for extended periods of time when recipient food webs have effective storage mechanisms, yet few studies have tracked the seasonal persistence of MDN. With this as our goal, we sampled stream water chemistry and selected stream and riparian biota spring through fall at 18 stations (in six watersheds) that vary widely in spawner abundance and at nine stations (in three watersheds) where salmon runs were blocked by waterfalls. We then developed regression models that related dissolved nutrient concentrations and biochemical measures of MDN assimilation to localized spawner density across these 27 stations. Stream water ammonium-N and orthophosphate-P concentrations increased with spawner density during the summer salmon runs, but responses did not persist into the following fall. The effect of spawner density on δ<sup>15</sup>N in generalist macroinvertebrates and three independent MDN metrics (δ<sup>15</sup>N, δ<sup>34</sup>S, and ω3:ω6 fatty acids) in juvenile Dolly Varden (Salvelinus malma) was positive and similar during each season, indicating that MDN levels in biota increased with spawner abundance and were maintained for at least nine months after inputs. Delta <sup>15</sup>N in a riparian plant, horsetail (Equisetum fluviatile), and scraper macroinvertebrates did not vary with spawner density in any season, suggesting a lack of MDN assimilation by these lower trophic levels. Our results demonstrate the ready assimilation of MDN by generalist consumers and the persistence of this pulsed subsidy in these organisms through the winter and into the next growing season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00112.1","usgsCitation":"Rinella, D.J., Wipfi, M.S., Walker, C.M., Stricker, C.A., and Heintz, R.A., 2013, Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams: Ecosphere, v. 4, no. 10, 18 p., https://doi.org/10.1890/ES13-00112.1.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-045295","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00112.1","text":"Publisher Index Page"},{"id":278925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00112.1"},{"id":278926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.1705,59.0682 ], [ -152.1705,60.9256 ], [ -148.765,60.9256 ], [ -148.765,59.0682 ], [ -152.1705,59.0682 ] ] ] } } ] }","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-14","publicationStatus":"PW","scienceBaseUri":"527cc494e4b0850ea050ceb7","contributors":{"authors":[{"text":"Rinella, Daniel J.","contributorId":69048,"corporation":false,"usgs":true,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfi, Mark S.","contributorId":28518,"corporation":false,"usgs":true,"family":"Wipfi","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":481545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heintz, Ron A.","contributorId":101552,"corporation":false,"usgs":true,"family":"Heintz","given":"Ron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184342,"text":"70184342 - 2013 - Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm","interactions":[],"lastModifiedDate":"2021-04-05T16:59:54.709044","indexId":"70184342","displayToPublicDate":"2013-10-01T11:56:33","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm","docAbstract":"<p>For more than two decades, the paradigm of large-magnitude (~250 km), northwest-directed (~N70°W) Neogene extensional lengthening between the Colorado Plateau and Sierra Nevada at the approximate latitude of Las Vegas has remained largely unchallenged, as has the notion that the strain integrates with coeval strains in adjacent regions and with plate-boundary strain. The paradigm depends on poorly constrained interconnectedness of extreme-case lengthening estimated at scattered localities within the region. Here we evaluate the soundness of the inferred strain interconnectedness over an area reaching 600 km southwest from Beaver, Utah, to Barstow, California, and conclude that lengthening is overestimated in most areas and, even if the estimates are valid, lengthening is not interconnected in a way that allows for published versions of province-wide summations.</p><p>We summarize Neogene strike slip in 13 areas distributed from central Utah to Lake Mead. In general, left-sense shear and associated structures define a broad zone of translation approximately parallel to the eastern boundary of the Basin and Range against the Colorado Plateau, a zone we refer to as the Hingeline shear zone. Areas of steep-axis rotation (ranging to 2500 km<sup>2</sup>) record N-S shortening rather than unevenly distributed lengthening. In most cases, the rotational shortening and extension-parallel folds and thrusts are coupled to, or absorb, strike slip, thus providing valuable insight into how the discontinuous strike-slip faults are simply parts of a broad zone of continuous strain. The discontinuous nature of strike slip and the complex mixture of extensional, contractional, and steep-axis rotational structures in the Hingeline shear zone are similar to those in the Walker Lane belt in the west part of the Basin and Range, and, together, the two record southward displacement of the central and northern Basin and Range relative to the adjacent Colorado Plateau. Understanding this province-scale coupling is critical to understanding major NS shortening and westerly tectonic escape in the Lake Mead area.</p><p>One north-elongate uplift in the Hingeline shear zone is a positive flower structure along a strike-slip fault, and we postulate that most other large uplifts are diapiric, resulting from extension-normal inflow of ductile substrate, rather than second-order isostatic responses to tectonic unloading. We also postulate that large steep-axis rotations, and some small ones as well, result from basal tractions imparted by gradients in southerly directed subjacent ductile flow rather than by shear coupling imparted by laterally variable elongation strains. The shortening strain recorded in the rotations and related structures probably matches or exceeds the magnitude of lengthening, even for the Lake Mead area where we do not question local large (~65 km) west-directed lengthening. We assess the results of extensive recent earth-science research in the Lake Mead area and conclude that previously published models of N-S convergence, westerly tectonic rafting, and N-S occlusion are valid and record unique tectonic escape accommodation for south-directed displacement of the Great Basin sector of the Basin and Range. Genetic ties between the south-directed displacement and plate-interaction forces are elusive, and we suggest the displacement results from body forces inherent in the Basin and Range.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2013.2499(01)","usgsCitation":"Anderson, R.E., Beard, S., Mankinen, E.A., and Hillhouse, J.W., 2013, Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm: Geological Society of America Special Papers , v. 499, p. 1-67, https://doi.org/10.1130/2013.2499(01).","productDescription":"67 p.","startPage":"1","endPage":"67","ipdsId":"IP-041656","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":336973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","city":"Barstow, Beaver","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1534,34.8 ], [ -117.1534,38.308351 ], [ -112.61087,38.308351 ], [ -112.61087,34.8 ], [ -117.1534,34.8 ] ] ] } } ] }","volume":"499","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f7e4b014cc3a3ba4cc","contributors":{"authors":[{"text":"Anderson, R. Ernest","contributorId":104484,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Ernest","affiliations":[],"preferred":false,"id":681062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":167711,"corporation":false,"usgs":true,"family":"Beard","given":"Sue","email":"sbeard@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hillhouse, John W. 0000-0002-1371-4622 jhillhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":2618,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","email":"jhillhouse@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":681060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048385,"text":"70048385 - 2013 - Characterizing and estimating noise in InSAR and InSAR time series with MODIS","interactions":[],"lastModifiedDate":"2018-10-24T16:50:46","indexId":"70048385","displayToPublicDate":"2013-10-01T11:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing and estimating noise in InSAR and InSAR time series with MODIS","docAbstract":"InSAR time series analysis is increasingly used to image subcentimeter displacement rates of the ground surface. The precision of InSAR observations is often affected by several noise sources, including spatially correlated noise from the turbulent atmosphere. Under ideal scenarios, InSAR time series techniques can substantially mitigate these effects; however, in practice the temporal distribution of InSAR acquisitions over much of the world exhibit seasonal biases, long temporal gaps, and insufficient acquisitions to confidently obtain the precisions desired for tectonic research. Here, we introduce a technique for constraining the magnitude of errors expected from atmospheric phase delays on the ground displacement rates inferred from an InSAR time series using independent observations of precipitable water vapor from MODIS. We implement a Monte Carlo error estimation technique based on multiple (100+) MODIS-based time series that sample date ranges close to the acquisitions times of the available SAR imagery. This stochastic approach allows evaluation of the significance of signals present in the final time series product, in particular their correlation with topography and seasonality. We find that topographically correlated noise in individual interferograms is not spatially stationary, even over short-spatial scales (<10 km). Overall, MODIS-inferred displacements and velocities exhibit errors of similar magnitude to the variability within an InSAR time series. We examine the MODIS-based confidence bounds in regions with a range of inferred displacement rates, and find we are capable of resolving velocities as low as 1.5 mm/yr with uncertainties increasing to ∼6 mm/yr in regions with higher topographic relief.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ggge.20258","usgsCitation":"Barnhart, W.D., and Lohman, R.B., 2013, Characterizing and estimating noise in InSAR and InSAR time series with MODIS: Geochemistry, Geophysics, Geosystems, v. 14, no. 10, p. 4121-4132, https://doi.org/10.1002/ggge.20258.","productDescription":"12 p.","startPage":"4121","endPage":"4132","numberOfPages":"12","ipdsId":"IP-051050","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ggge.20258","text":"Publisher Index Page"},{"id":280998,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ggge.20258"},{"id":280999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-02","publicationStatus":"PW","scienceBaseUri":"53cd50c3e4b0b290850f3882","contributors":{"authors":[{"text":"Barnhart, William D. wbarnhart@usgs.gov","contributorId":5299,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohman, Rowena B.","contributorId":36050,"corporation":false,"usgs":true,"family":"Lohman","given":"Rowena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70059279,"text":"70059279 - 2013 - Integrating complexity into data-driven multi-hazard supply chain network strategies","interactions":[],"lastModifiedDate":"2014-07-02T11:53:04","indexId":"70059279","displayToPublicDate":"2013-10-01T11:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Integrating complexity into data-driven multi-hazard supply chain network strategies","docAbstract":"<p>Major strategies in the wake of a large-scale disaster have focused on short-term emergency response solutions. Few consider medium-to-long-term restoration strategies that reconnect urban areas to the national supply chain networks (SCN) and their supporting infrastructure. To re-establish this connectivity, the relationships within the SCN must be defined and formulated as a model of a complex adaptive system (CAS). A CAS model is a representation of a system that consists of large numbers of inter-connections, demonstrates non-linear behaviors and emergent properties, and responds to stimulus from its environment. CAS modeling is an effective method of managing complexities associated with SCN restoration after large-scale disasters. In order to populate the data space large data sets are required. Currently access to these data is hampered by proprietary restrictions. The aim of this paper is to identify the data required to build a SCN restoration model, look at the inherent problems associated with these data, and understand the complexity that arises due to integration of these data.</p>","largerWorkTitle":"Proceedings of the ASPRS\\CaGIS 2013 Specialty Conference","conferenceTitle":"Proceedings of the ASPRS\\CaGIS 2013 Specialty Conference","conferenceDate":"2013-10-30T00:00:00","conferenceLocation":"San Antonio, TX","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","publisherLocation":"Falls Church, VA","usgsCitation":"Long, S., Shoberg, T.G., Ramachandran, V., Corns, S.M., and Carlo, H.J., 2013, Integrating complexity into data-driven multi-hazard supply chain network strategies.","ipdsId":"IP-051597","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":289376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280456,"type":{"id":15,"text":"Index Page"},"url":"https://info.asprs.org/publications/proceedings/SanAntonio2013/index.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b18de4b0388651d917c2","contributors":{"authors":[{"text":"Long, Suzanna K.","contributorId":42139,"corporation":false,"usgs":true,"family":"Long","given":"Suzanna K.","affiliations":[],"preferred":false,"id":487602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":487601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramachandran, Varun","contributorId":71481,"corporation":false,"usgs":true,"family":"Ramachandran","given":"Varun","affiliations":[],"preferred":false,"id":487603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corns, Steven M.","contributorId":77458,"corporation":false,"usgs":true,"family":"Corns","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlo, Hector J.","contributorId":95805,"corporation":false,"usgs":true,"family":"Carlo","given":"Hector","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487605,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147937,"text":"70147937 - 2013 - Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed","interactions":[],"lastModifiedDate":"2015-05-11T10:45:24","indexId":"70147937","displayToPublicDate":"2013-10-01T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed","docAbstract":"<p>Recent studies suggest that climate change is causing rising solute concentrations in mountain lakes and streams. These changes may be more pronounced in mineralized watersheds due to the sensitivity of sulfide weathering to changes in subsurface oxygen transport. Specific causal mechanisms linking climate change and accelerated weathering rates have been proposed, but in general remain entirely hypothetical. For mineralized watersheds, a favored hypothesis is that falling water tables caused by declining recharge rates allow an increasing volume of sulfide-bearing rock to become exposed to air, thus oxygen. Here, we test the hypothesis that falling water tables are the primary cause of an increase in metals and SO4 (100-400%) observed since 1980 in the Upper Snake River (USR), Colorado. The USR drains an alpine watershed geologically and climatologically representative of many others in mineralized areas of the western U.S. Hydrologic and chemical data collected from 2005 to 2011 in a deep monitoring well (WP1) at the top of the USR watershed are utilized. During this period, both water table depths and groundwater SO4 concentrations have generally increased in the well. A numerical model was constructed using TOUGHREACT that simulates pyrite oxidation near WP1, including groundwater flow and oxygen transport in both saturated and unsaturated zones. The modeling suggests that a falling water table could produce an increase in metals and SO4 of a magnitude similar to that observed in the USR (up to 300%). Future water table declines may produce limited increases in sulfide weathering high in the watershed because of the water table dropping below the depth of oxygen penetration, but may continue to enhance sulfide weathering lower in the watershed where water tables are shallower. Advective air (oxygen) transport in the unsaturated zone caused by seasonally variable recharge and associated water table fluctuations was found to have little influence on pyrite oxidation rates near WP1. However, this mechanism could be important in the case of a shallow dynamic water table and more abundant/reactive sulfides in the shallow subsurface. Data from WP1 and numerical modeling results are thus consistent with the falling water table hypothesis, and illustrate fundamental processes linking climate and sulfide weathering in mineralized watersheds.</p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2013.07.002","usgsCitation":"Manning, A.H., Verplanck, P.L., Caine, J.S., and Todd, A.S., 2013, Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed: Applied Geochemistry, v. 37, p. 64-78, https://doi.org/10.1016/j.apgeochem.2013.07.002.","productDescription":"15 p.","startPage":"64","endPage":"78","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044072","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":300277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf2","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":546436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":546437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":546438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Andrew S. atodd@usgs.gov","contributorId":1022,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew","email":"atodd@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":546439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70121046,"text":"70121046 - 2013 - Usefulness of hemocytometer as a counting chamber in a computer assisted sperm analyzer (CASA)","interactions":[],"lastModifiedDate":"2014-08-19T11:52:37","indexId":"70121046","displayToPublicDate":"2013-10-01T11:44:39","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":778,"text":"Animal Reproduction","onlineIssn":"1984-3143","printIssn":"1806-9614","active":true,"publicationSubtype":{"id":10}},"title":"Usefulness of hemocytometer as a counting chamber in a computer assisted sperm analyzer (CASA)","docAbstract":"Several methods are used to determine sperm cell concentration, such as the haemocytometer, spectrophotometer, electronic cell counter and computer-assisted semen analysers (CASA). The utility of CASA systems has been limited due to the lack of characterization of individual systems and the absence of standardization among laboratories. The aims of this study were to: 1) validate and establish setup conditions for the CASA system utilizing the haemocytometer as a counting chamber, and 2) compare the different methods used for the determination of sperm cell concentration in bull semen. Two ejaculates were collected and the sperm cell concentration was determined using spectrophotometer and haemocytometer. For the Hamilton-Thorn method, the haemocytometer was used as a counting chamber. Sperm concentration was determined three times per ejaculate samples. A difference (P < 0.05) was found between all methods of measuring sperm cell concentration. However, no difference was found between the haemocytometer and CASA system when the haemocytometer was used as a counting chamber (P > 0.05) or between the haemocytometer count and the spectrophotometer. Based on the results of this study, we concluded that the haemocytometer can be used in computerized semen analysis systems as a substitute for the commercially available disposable counting chambers, therefore avoiding disadvantageous high costs and slower procedures.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Reproduction: official journal of the Brazilian College of Animal Reproduction","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Colégio Brasileiro de Reprodução Animal","publisherLocation":"Belo Horizonte, Brazil","usgsCitation":"Eljarah, A., Chandler, J., Jenkins, J., Chenevert, J., and Alcanal, A., 2013, Usefulness of hemocytometer as a counting chamber in a computer assisted sperm analyzer (CASA): Animal Reproduction, v. 10, no. 4, p. 708-711.","productDescription":"4 p.","startPage":"708","endPage":"711","numberOfPages":"4","ipdsId":"IP-035473","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292535,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbra.org.br/portal/publicacoes/ar/2013/arod2013.html"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f464d1e4b073ff773a7d7f","contributors":{"authors":[{"text":"Eljarah, A.","contributorId":56166,"corporation":false,"usgs":true,"family":"Eljarah","given":"A.","email":"","affiliations":[],"preferred":false,"id":498730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, J.","contributorId":76663,"corporation":false,"usgs":true,"family":"Chandler","given":"J.","affiliations":[],"preferred":false,"id":498731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, J.A. 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":51703,"corporation":false,"usgs":true,"family":"Jenkins","given":"J.A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":498728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chenevert, J.","contributorId":55357,"corporation":false,"usgs":true,"family":"Chenevert","given":"J.","email":"","affiliations":[],"preferred":false,"id":498729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alcanal, A.","contributorId":96605,"corporation":false,"usgs":true,"family":"Alcanal","given":"A.","email":"","affiliations":[],"preferred":false,"id":498732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70073720,"text":"70073720 - 2013 - The innate immune response may be important for surviving plague in wild Gunnison's prairie dogs","interactions":[],"lastModifiedDate":"2016-01-26T15:26:14","indexId":"70073720","displayToPublicDate":"2013-10-01T11:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"The innate immune response may be important for surviving plague in wild Gunnison's prairie dogs","docAbstract":"<p>Prairie dogs (Cynomys spp.) are highly susceptible to Yersinia pestis, with &ge;99% mortality reported from multiple studies of plague epizootics. A colony of Gunnison's prairie dogs (Cynomys gunnisoni) in the Aubrey Valley (AV) of northern Arizona appears to have survived several regional epizootics of plague, whereas nearby colonies have been severely affected by Y. pestis. To examine potential mechanisms accounting for survival in the AV colony, we conducted a laboratory Y. pestis challenge experiment on 60 wild-caught prairie dogs from AV and from a nearby, large colony with frequent past outbreaks of plague, Espee (n = 30 per colony). Test animals were challenged subcutaneously with the fully virulent Y. pestis strain CO92 at three doses: 50, 5,000, and 50,000 colony-forming units (cfu); this range is lethal in black-tailed prairie dogs (Cynomys ludovicianus). Contrary to our expectations, only 40% of the animals died. Although mortality trended higher in the Espee colony (50%) compared with AV (30%), the differences among infectious doses were not statistically significant. Only 39% of the survivors developed moderate to high antibody levels to Y. pestis, indicating that mechanisms other than humoral immunity are important in resistance to plague. The ratio of neutrophils to lymphocytes was not correlated with plague survival in this study. However, several immune proteins with roles in innate immunity (VCAM-1, CXCL-1, and vWF) were upregulated during plague infection and warrant further inquiry into their role for protection against this disease. These results suggest plague resistance exists in wild populations of the Gunnison's prairie dog and provide important directions for future studies.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2012-08-209","usgsCitation":"Busch, J.D., Van Andel, R., Stone, N.E., Cobble, K.R., Nottingham, R., Lee, J., VerSteeg, M., Corcoran, J., Cordova, J., Van Pelt, W.E., Shuey, M., Foster, J., Schupp, J., Beckstrom-Sternberg, S., Beckstrom-Sternberg, J., Keim, P., Smith, S., Rodriguez-Ramos, J., Williamson, J.L., Rocke, T.E., and Wagner, D.M., 2013, The innate immune response may be important for surviving plague in wild Gunnison's prairie dogs: Journal of Wildlife Diseases, v. 49, no. 4, p. 920-931, https://doi.org/10.7589/2012-08-209.","productDescription":"12 p.","startPage":"920","endPage":"931","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045046","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":281370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281369,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2012-08-209"}],"country":"United States","state":"Arizona","county":"Coconino County","otherGeospatial":"Aubrey Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.3527,34.4835 ], [ -113.3527,35.4656 ], [ -112.1842,35.4656 ], [ -112.1842,34.4835 ], [ -113.3527,34.4835 ] ] ] } } ] }","volume":"49","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd781be4b0b2908510bf04","contributors":{"authors":[{"text":"Busch, Joseph D.","contributorId":44052,"corporation":false,"usgs":false,"family":"Busch","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":489087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Andel, Roger","contributorId":95799,"corporation":false,"usgs":false,"family":"Van Andel","given":"Roger","email":"","affiliations":[],"preferred":false,"id":489095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Nathan E.","contributorId":52075,"corporation":false,"usgs":true,"family":"Stone","given":"Nathan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":489090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cobble, Kacy R.","contributorId":38438,"corporation":false,"usgs":true,"family":"Cobble","given":"Kacy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nottingham, Roxanne","contributorId":89056,"corporation":false,"usgs":true,"family":"Nottingham","given":"Roxanne","affiliations":[],"preferred":false,"id":489093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Judy","contributorId":48479,"corporation":false,"usgs":true,"family":"Lee","given":"Judy","email":"","affiliations":[],"preferred":false,"id":489088,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"VerSteeg, Michael","contributorId":102382,"corporation":false,"usgs":true,"family":"VerSteeg","given":"Michael","email":"","affiliations":[],"preferred":false,"id":489099,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Corcoran, Jeff","contributorId":101184,"corporation":false,"usgs":true,"family":"Corcoran","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":489097,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cordova, Jennifer","contributorId":73496,"corporation":false,"usgs":false,"family":"Cordova","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":489092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Van Pelt, William E.","contributorId":101558,"corporation":false,"usgs":false,"family":"Van Pelt","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":489098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shuey, Megan M.","contributorId":51200,"corporation":false,"usgs":true,"family":"Shuey","given":"Megan M.","affiliations":[],"preferred":false,"id":489089,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Foster, Jeffrey T.","contributorId":8744,"corporation":false,"usgs":true,"family":"Foster","given":"Jeffrey T.","affiliations":[],"preferred":false,"id":489083,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schupp, James M.","contributorId":36455,"corporation":false,"usgs":true,"family":"Schupp","given":"James M.","affiliations":[],"preferred":false,"id":489084,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Beckstrom-Sternberg, Stephen","contributorId":96588,"corporation":false,"usgs":true,"family":"Beckstrom-Sternberg","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":489096,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Beckstrom-Sternberg, James","contributorId":62519,"corporation":false,"usgs":true,"family":"Beckstrom-Sternberg","given":"James","email":"","affiliations":[],"preferred":false,"id":489091,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Keim, Paul","contributorId":93010,"corporation":false,"usgs":false,"family":"Keim","given":"Paul","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":489094,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Smith, Susan","contributorId":41332,"corporation":false,"usgs":true,"family":"Smith","given":"Susan","affiliations":[],"preferred":false,"id":489086,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rodriguez-Ramos, Julia","contributorId":105642,"corporation":false,"usgs":true,"family":"Rodriguez-Ramos","given":"Julia","email":"","affiliations":[],"preferred":false,"id":489100,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Williamson, Judy L. 0000-0001-7110-1632 jwilliamson@usgs.gov","orcid":"https://orcid.org/0000-0001-7110-1632","contributorId":3647,"corporation":false,"usgs":true,"family":"Williamson","given":"Judy","email":"jwilliamson@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":489081,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":489080,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wagner, David M.","contributorId":8737,"corporation":false,"usgs":false,"family":"Wagner","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":489082,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70074336,"text":"70074336 - 2013 - Multivariate analysis of ATR-FTIR spectra for assessment of oil shale organic geochemical properties","interactions":[],"lastModifiedDate":"2014-01-29T11:29:18","indexId":"70074336","displayToPublicDate":"2013-10-01T11:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate analysis of ATR-FTIR spectra for assessment of oil shale organic geochemical properties","docAbstract":"In this study, attenuated total reflectance (ATR) Fourier transform infrared spectroscopy (FTIR) was coupled with partial least squares regression (PLSR) analysis to relate spectral data to parameters from total organic carbon (TOC) analysis and programmed pyrolysis to assess the feasibility of developing predictive models to estimate important organic geochemical parameters. The advantage of ATR-FTIR over traditional analytical methods is that source rocks can be analyzed in the laboratory or field in seconds, facilitating more rapid and thorough screening than would be possible using other tools. ATR-FTIR spectra, TOC concentrations and Rock–Eval parameters were measured for a set of oil shales from deposits around the world and several pyrolyzed oil shale samples. PLSR models were developed to predict the measured geochemical parameters from infrared spectra. Application of the resulting models to a set of test spectra excluded from the training set generated accurate predictions of TOC and most Rock–Eval parameters. The critical region of the infrared spectrum for assessing S1, S2, Hydrogen Index and TOC consisted of aliphatic organic moieties (2800–3000 cm<sup>−1</sup>) and the models generated a better correlation with measured values of TOC and S2 than did integrated aliphatic peak areas. The results suggest that combining ATR-FTIR with PLSR is a reliable approach for estimating useful geochemical parameters of oil shales that is faster and requires less sample preparation than current screening methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Organic Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2013.07.007","usgsCitation":"Washburn, K.E., and Birdwell, J.E., 2013, Multivariate analysis of ATR-FTIR spectra for assessment of oil shale organic geochemical properties: Organic Geochemistry, v. 63, p. 1-7, https://doi.org/10.1016/j.orggeochem.2013.07.007.","productDescription":"7 p.","startPage":"1","endPage":"7","numberOfPages":"7","ipdsId":"IP-045241","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":281649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281639,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.orggeochem.2013.07.007"}],"volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd686ee4b0b2908510209f","contributors":{"authors":[{"text":"Washburn, Kathryn E.","contributorId":76644,"corporation":false,"usgs":false,"family":"Washburn","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[{"id":7152,"text":"Weatherford International","active":true,"usgs":false}],"preferred":false,"id":489513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":489512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039923,"text":"70039923 - 2013 - Retrospective analysis of bottlenose dolphin foraging: a legacy of anthropogenic ecosystem disturbance","interactions":[],"lastModifiedDate":"2014-01-08T11:23:20","indexId":"70039923","displayToPublicDate":"2013-10-01T11:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of bottlenose dolphin foraging: a legacy of anthropogenic ecosystem disturbance","docAbstract":"We used stable isotope analysis to investigate the foraging ecology of coastal bottlenose dolphins (Tursiops truncatus) in relation to a series of anthropogenic disturbances. We first demonstrated that stable isotopes are a faithful indicator of habitat use by comparing muscle isotope values to behavioral foraging data from the same individuals. δ<sup>13</sup>C values increased, while δ<sup>34</sup>S and δ<sup>15</sup>N values decreased with the percentage of feeding observations in seagrass habitat. We then utilized stable isotope values of muscle to assess temporal variation in foraging habitat from 1991 to 2010 and collagen from tooth crown tips to assess the time period 1944 to 2007. From 1991 to 2010, δ<sup>13</sup>C values of muscle decreased while δ<sup>34</sup>S values increased indicating reduced utilization of seagrass habitat. From 1944 to 1989 δ<sup>13</sup>C values of the crown tip declined significantly, likely due to a reduction in the coverage of seagrass habitat and δ<sup>15</sup>N values significantly increased, a trend we attribute to nutrient loading from a rapidly increasing human population. Our results demonstrate the utility of using marine mammal foraging habits to retrospectively assess the extent to which anthropogenic disturbance impacts coastal food webs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Mammal Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1748-7692.2012.00618.x","usgsCitation":"Rossman, S., Barros, N., Ostrom, P., Stricker, C.A., Hohn, A.A., Gandhi, H., and Wells, R.S., 2013, Retrospective analysis of bottlenose dolphin foraging: a legacy of anthropogenic ecosystem disturbance: Marine Mammal Science, v. 29, no. 4, p. 705-718, https://doi.org/10.1111/j.1748-7692.2012.00618.x.","productDescription":"14 p.","startPage":"705","endPage":"718","numberOfPages":"14","ipdsId":"IP-040745","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":280714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280712,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1748-7692.2012.00618.x"}],"country":"United States","state":"Florida","otherGeospatial":"Sarasota Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.716235,27.280335 ], [ -82.716235,27.483156 ], [ -82.522979,27.483156 ], [ -82.522979,27.280335 ], [ -82.716235,27.280335 ] ] ] } } ] }","volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-10-24","publicationStatus":"PW","scienceBaseUri":"53cd70e0e4b0b2908510752b","contributors":{"authors":[{"text":"Rossman, Sam","contributorId":8759,"corporation":false,"usgs":false,"family":"Rossman","given":"Sam","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":467205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barros, Nélio B.","contributorId":89053,"corporation":false,"usgs":true,"family":"Barros","given":"Nélio B.","affiliations":[],"preferred":false,"id":467210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostrom, Peggy H.","contributorId":55736,"corporation":false,"usgs":false,"family":"Ostrom","given":"Peggy H.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":467208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hohn, Aleta A.","contributorId":32819,"corporation":false,"usgs":true,"family":"Hohn","given":"Aleta","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gandhi, Hasand","contributorId":31300,"corporation":false,"usgs":false,"family":"Gandhi","given":"Hasand","affiliations":[],"preferred":false,"id":467206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467209,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046836,"text":"70046836 - 2013 - A multilocus evaluation of ermine (<i>Mustela erminea</i>) across the Holarctic, testing hypotheses of Pleistocene diversification in response to climate change","interactions":[],"lastModifiedDate":"2018-08-20T18:10:59","indexId":"70046836","displayToPublicDate":"2013-10-01T11:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"A multilocus evaluation of ermine (<i>Mustela erminea</i>) across the Holarctic, testing hypotheses of Pleistocene diversification in response to climate change","docAbstract":"Aim: \nWe examined data for ermine (Mustela erminea) to test two sets of diversification hypotheses concerning the number and location of late Pleistocene refugia, the timing and mode of diversification, and the evolutionary influence of insularization.\n\nLocation: \nTemperate and sub-Arctic Northern Hemisphere.\n\nMethods: \nWe used up to two mitochondrial and four nuclear loci from 237 specimens for statistical phylogeographical and demographic analyses. Coalescent species-tree estimation used a Bayesian approach for clade divergence based on external mutation rate calibrations. Approximate Bayesian methods were used to assess population size, timing of divergence and gene flow.\n\nResults: \nLimited structure coupled with evidence of population growth across broad regions, including previously ice-covered areas, indicated expansion from multiple centres of differentiation, but high endemism along the North Pacific coast (NPC). A bifurcating model of diversification with recent growth spanning three glacial cycles best explained the empirical data.\n\nMain conclusions: \nA newly identified clade in North America indicated a fourth refugial area for ermine. The shallow coalescence of all extant ermine reflects a recent history of diversification overlying a deeper fossil record. Post-glacial colonization has led to potential contact zones for multiple lineages in north-western North America. A model of diversification of ermine accompanied by recent gene flow was marginally less well supported than a model of divergence of major clades in response to the most recent glacial cycles.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jbi.12221","usgsCitation":"Dawson, N., Hope, A.G., Talbot, S.L., and Cook, J.A., 2013, A multilocus evaluation of ermine (<i>Mustela erminea</i>) across the Holarctic, testing hypotheses of Pleistocene diversification in response to climate change: Journal of Biogeography, v. 41, no. 3, p. 464-475, https://doi.org/10.1111/jbi.12221.","productDescription":"12 p.","startPage":"464","endPage":"475","ipdsId":"IP-048873","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473502,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.12221","text":"Publisher Index Page"},{"id":280864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280862,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jbi.12221"}],"volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-10-31","publicationStatus":"PW","scienceBaseUri":"53cd4a20e4b0b290850ef950","contributors":{"authors":[{"text":"Dawson, Natalie G.","contributorId":27781,"corporation":false,"usgs":true,"family":"Dawson","given":"Natalie G.","affiliations":[],"preferred":false,"id":480422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":480423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":480420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":480421,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044590,"text":"70044590 - 2013 - Social-ecological predictors of global invasions and extinctions","interactions":[],"lastModifiedDate":"2013-11-14T11:18:53","indexId":"70044590","displayToPublicDate":"2013-10-01T11:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Social-ecological predictors of global invasions and extinctions","docAbstract":"Most assessments of resilience have been focused on local conditions. Studies focused on the relationship between humanity and environmental degradation are rare, and are rarely comprehensive. We investigated multiple social-ecological factors for 100 countries around the globe in relation to the percentage of invasions and extinctions within each country. These 100 countries contain approximately 87% of the world’s population, produce 43% of the world’s per capita gross domestic product (GDP), and take up 74% of the earth’s total land area. We used an information theoretic approach to determine which models were most supported by our data, utilizing an a priori set of plausible models that included a combination of 15 social-ecological variables, each social-ecological factor by itself, and selected social-ecological factors grouped into three broad classes. These variables were per capita GDP, export-import ratio, tourism, undernourishment, energy efficiency, agricultural intensity, rainfall, water stress, wilderness protection, total biodiversity, life expectancy, adult literacy, pesticide regulation, political stability, and female participation in government. Our results indicate that as total biodiversity and total land area increase, the percentage of endangered birds also increases. As the independent variables (agricultural intensity, rainfall, water stress, and total biodiversity) in the ecological class model increase, the percentage of endangered mammals in a country increases. The percentage of invasive birds and mammals in a country increases as per capita GDP increases. As life expectancy increases, the percentage of invasive and endangered birds and mammals increases. Although our analysis does not determine mechanisms, the patterns observed in this study provide insight into the dynamics of a complex, global, social-ecological system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.5751/ES-05550-180315","usgsCitation":"Lotz, A., and Allen, C.R., 2013, Social-ecological predictors of global invasions and extinctions: Ecology and Society, v. 18, no. 3, 15 p., https://doi.org/10.5751/ES-05550-180315.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-041216","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05550-180315","text":"Publisher Index Page"},{"id":279074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-05550-180315"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528607a4e4b00926c21865b7","contributors":{"authors":[{"text":"Lotz, Aaron","contributorId":105211,"corporation":false,"usgs":true,"family":"Lotz","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":475927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":475926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073703,"text":"70073703 - 2013 - Mercury isotope fractionation during ore retorting in the Almadén mining district, Spain","interactions":[],"lastModifiedDate":"2014-01-22T11:17:10","indexId":"70073703","displayToPublicDate":"2013-10-01T11:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury isotope fractionation during ore retorting in the Almadén mining district, Spain","docAbstract":"Almadén, Spain, is the world's largest mercury (Hg) mining district, which has produced over 250,000 metric tons of Hg representing about 30% of the historical Hg produced worldwide. The objective of this study was to measure Hg isotopic compositions of cinnabar ore, mine waste calcine (retorted ore), elemental Hg (Hg<sup>0</sup>(L)), and elemental Hg gas (Hg<sup>0</sup>(g)), to evaluate potential Hg isotopic fractionation. Almadén cinnabar ore δ<sup>202</sup>Hg varied from − 0.92 to 0.15‰ (mean of − 0.56‰, σ = 0.35‰, n = 7), whereas calcine was isotopically heavier and δ<sup>202</sup>Hg ranged from − 0.03‰ to 1.01‰ (mean of 0.43‰, σ = 0.44‰, n = 8). The average δ<sup>202</sup>Hg enrichment of 0.99‰ between cinnabar ore and calcines generated during ore retorting indicated Hg isotopic mass dependent fractionation (MDF). Mass independent fractionation (MIF) was not observed in any of the samples in this study. Laboratory retorting experiments of cinnabar also were carried out to evaluate Hg isotopic fractionation of products generated during retorting such as calcine, Hg<sup>0</sup>(L), and Hg<sup>0</sup>(g). Calcine and Hg<sup>0</sup>(L) generated during these retorting experiments showed an enrichment in δ<sup>202</sup>Hg of as much as 1.90‰ and 0.67‰, respectively, compared to the original cinnabar ore. The δ<sup>202</sup>Hg for Hg<sup>0</sup>(g) generated during the retorting experiments was as much as 1.16‰ isotopically lighter compared to cinnabar, thus, when cinnabar ore was roasted, the resultant calcines formed were isotopically heavier, whereas the Hg<sup>0</sup>(g) generated was isotopically lighter in Hg isotopes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2013.08.036","usgsCitation":"Gray, J.E., Pribil, M., and Higueras, P.L., 2013, Mercury isotope fractionation during ore retorting in the Almadén mining district, Spain: Chemical Geology, v. 357, p. 150-157, https://doi.org/10.1016/j.chemgeo.2013.08.036.","productDescription":"8 p.","startPage":"150","endPage":"157","numberOfPages":"8","ipdsId":"IP-046190","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473505,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10578/3092","text":"External Repository"},{"id":281364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281350,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2013.08.036"}],"country":"Spain","otherGeospatial":"Almad�n District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -4.935568,38.638848 ], [ -4.935568,38.860773 ], [ -4.390909,38.860773 ], [ -4.390909,38.638848 ], [ -4.935568,38.638848 ] ] ] } } ] }","volume":"357","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd669ee4b0b29085100ded","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pribil, Michael J.","contributorId":62115,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael J.","affiliations":[],"preferred":false,"id":489071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higueras, Pablo L.","contributorId":94212,"corporation":false,"usgs":true,"family":"Higueras","given":"Pablo","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047293,"text":"70047293 - 2013 - Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A.","interactions":[],"lastModifiedDate":"2017-01-03T15:04:27","indexId":"70047293","displayToPublicDate":"2013-10-01T11:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A.","docAbstract":"<p>Sand Hollow Reservoir in southwestern Utah, USA, is operated for both surface-water storage and managed aquifer recharge via infiltration from surface basin spreading to the underlying Navajo Sandstone. The total volume of estimated recharge from 2002 through 2011 was 131 Mm<sup>3</sup>., resulting in groundwater levels rising as much as 40 m. Hydraulic and hydrochemical data from the reservoir and various monitoring wells in Sand Hollow were used to evaluate the timing and location or reservoir recharge moving through the aquifer, along either potential clogging from trapped gases in pore throats, siltation, or algal mats. Several hyrdochemical tracers indicated this recharge had arrived at four monitoring wells located within about 300 m of the reservoir by 2012. At these wells, peak total dissolved-gas pressures exceeded two atmospheres (&gt;1,500 mm mercury) and dissolved oxygen approached three times atmospherically equilibrated concentrations (&gt;25 mg/L). these field parameters indicate that large amounts of gas trapped in pore spaces beneath the water table have dissolved. Lesser but notable increases in these dissolved-gas parameters (without increases in other indicators such as chloride-to-bromide ratios) at monitoring wells farther away (&gt;300 m) indicate moderate amounts of in-situ sir entrapment and dissolution caused by the rise in regional groundwater levels. This is confirmed by hydrochemical difference between these sites and wells closer to the reservoir where recharge had already arrived. As the reservoir was being filled by 2002, managed aquifer recharge rates were initially very high (1.5 x 10<sup>-4</sup> cm/s) with the vadose zone becoming saturated beneath and surrounding the reservoir. These rates declined to less than 3.5 x 10<sup>-6</sup> cm/s during 2008. The 2002-08 decrease was likely associated with a declining regional hydraulic gradient and clogging. Increasing recharge rates during mid-2009 through 2010 may have been partly caused by dissolution of air bubbles initially entrapped in the aquifer matrix. Theoretical gas dissolution rates, coupled with field evidence of a decline iin total dissolved-gas pressure and dissolved oxygen from nearby monitoring wells, support the timing of this gas dissipation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Clogging issues associated with managed aquifer recharge methods","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"IAH Commission on Managing Aquifer Recharge","publisherLocation":"Australia","isbn":"9780646908526","usgsCitation":"Heilweil, V.M., and Marston, T., 2013, Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A., chap. <i>of</i> Clogging issues associated with managed aquifer recharge methods, p. 84-94.","productDescription":"11 p.","startPage":"84","endPage":"94","numberOfPages":"11","ipdsId":"IP-046038","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":278967,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278966,"type":{"id":15,"text":"Index Page"},"url":"https://recharge.iah.org/recharge/clogging.htm"}],"country":"United States","state":"Utah","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.39374,37.101658 ], [ -113.39374,37.127394 ], [ -113.35936,37.127394 ], [ -113.35936,37.101658 ], [ -113.39374,37.101658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e586ae4b02d2057dd95db","contributors":{"authors":[{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marston, Thomas","contributorId":61734,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","affiliations":[],"preferred":false,"id":481652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045854,"text":"70045854 - 2013 - Prescribed-fire effects on an aquatic community of a southwest montane grassland system","interactions":[],"lastModifiedDate":"2013-11-12T10:55:27","indexId":"70045854","displayToPublicDate":"2013-10-01T10:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Prescribed-fire effects on an aquatic community of a southwest montane grassland system","docAbstract":"The use of prescription fire has long been recognized as a reliable management tool to suppress vegetative succession processes and to reduce fuel loading to prevent catastrophic wildfires, but very little attention has been paid to the effects on aquatic systems. A late-fall prescribed burn was implemented to characterize effects on an aquatic community within a montane grassland system in north-central New Mexico. The fire treatment was consistent with protocols of a managed burn except that the fire was allowed to burn through the riparian area to the treatment stream to replicate natural fire behavior. In addition to summer and fall preburn assessment of the treatment and reference stream, we characterized immediate postfire effects (within a week for macroinvertebrates and within 6 months for fish) and seasonal effects over a 2-year period. Responses within the treatment stream were compared with an unburned reference stream adjacent to the prescription burn. During the burn, the diel range in air temperature increased by 5°C while diel range in water temperature did not change. Carbon–nitrogen ratios did not differ between treatment and reference streams, indicating the contribution of ash from the surrounding grassland was negligible. Although total taxa and species richness of aquatic macroinvertebrates were not altered, qualitative indices revealed departure from preburn condition due to loss of sensitive taxa (mayflies [order Ephemeroptera] and stoneflies [order Plecoptera]) and an increase in tolerant taxa (midges [order Chironomidae]) following the burn. Within 1 year of the burn, these attributes returned to preburn conditions. The density and recruitment of adult Brown Trout Salmo trutta did not differ between pre- and postburn collections, nor did fish condition differ. Fire is rarely truly replicated within a given study. Although our study represents one replication, the results will inform managers about the importance in timing (seasonality) of prescription burn and anticipated effects on aquatic communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.824934","usgsCitation":"Caldwell, C.A., Jacobi, G.Z., Anderson, M.C., Parmenter, R.R., McGann, J., Gould, W., DuBey, R., and Jacobi, M.D., 2013, Prescribed-fire effects on an aquatic community of a southwest montane grassland system: North American Journal of Fisheries Management, v. 33, no. 5, p. 1049-1062, https://doi.org/10.1080/02755947.2013.824934.","productDescription":"14 p.","startPage":"1049","endPage":"1062","numberOfPages":"14","ipdsId":"IP-040830","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":279004,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.824934"},{"id":279006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Valles Caldera National Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.622314,35.827 ], [ -106.622314,36.009395 ], [ -106.398983,36.009395 ], [ -106.398983,35.827 ], [ -106.622314,35.827 ] ] ] } } ] }","volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-03","publicationStatus":"PW","scienceBaseUri":"52835c24e4b047efbbb4ae62","contributors":{"authors":[{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, Gerald Z.","contributorId":86837,"corporation":false,"usgs":true,"family":"Jacobi","given":"Gerald","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":478434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael C.","contributorId":38887,"corporation":false,"usgs":true,"family":"Anderson","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":478430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parmenter, Robert R.","contributorId":88643,"corporation":false,"usgs":true,"family":"Parmenter","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGann, Jeanine","contributorId":76637,"corporation":false,"usgs":true,"family":"McGann","given":"Jeanine","email":"","affiliations":[],"preferred":false,"id":478433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":478432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuBey, Robert","contributorId":60113,"corporation":false,"usgs":true,"family":"DuBey","given":"Robert","email":"","affiliations":[],"preferred":false,"id":478431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobi, M. Donna","contributorId":6365,"corporation":false,"usgs":true,"family":"Jacobi","given":"M.","email":"","middleInitial":"Donna","affiliations":[],"preferred":false,"id":478429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70055612,"text":"70055612 - 2013 - Development of a reproducible method for determining quantity of water and its configuration in a marsh landscape","interactions":[],"lastModifiedDate":"2013-11-14T10:56:58","indexId":"70055612","displayToPublicDate":"2013-10-01T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of a reproducible method for determining quantity of water and its configuration in a marsh landscape","docAbstract":"Coastal Louisiana is a dynamic and ever-changing landscape. From 1956 to 2010, over 3,734 km<sup>2</sup> of Louisiana's coastal wetlands have been lost due to a combination of natural and human-induced activities. The resulting landscape constitutes a mosaic of conditions from highly deteriorated to relatively stable with intact landmasses. Understanding how and why coastal landscapes change over time is critical to restoration and rehabilitation efforts. Historically, changes in marsh pattern (i.e., size and spatial distribution of marsh landmasses and water bodies) have been distinguished using visual identification by individual researchers. Difficulties associated with this approach include subjective interpretation, uncertain reproducibility, and laborious techniques. In order to minimize these limitations, this study aims to expand existing tools and techniques via a computer-based method, which uses geospatial technologies for determining shifts in landscape patterns. Our method is based on a raster framework and uses landscape statistics to develop conditions and thresholds for a marsh classification scheme. The classification scheme incorporates land and water classified imagery and a two-part classification system: (1) ratio of water to land, and (2) configuration and connectivity of water within wetland landscapes to evaluate changes in marsh patterns. This analysis system can also be used to trace trajectories in landscape patterns through space and time. Overall, our method provides a more automated means of quantifying landscape patterns and may serve as a reliable landscape evaluation tool for future investigations of wetland ecosystem processes in the northern Gulf of Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-010.1","usgsCitation":"Suir, G.M., Evers, D.E., Steyer, G.D., and Sasser, C.E., 2013, Development of a reproducible method for determining quantity of water and its configuration in a marsh landscape: Journal of Coastal Research, no. 63, p. 110-117, https://doi.org/10.2112/SI63-010.1.","productDescription":"8 p.","startPage":"110","endPage":"117","numberOfPages":"8","ipdsId":"IP-026659","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":279071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279051,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-010.1"}],"country":"United States","state":"Louisiana","otherGeospatial":"Houma Navigation Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.3734,29.0119 ], [ -92.3734,30.1278 ], [ -90.5521,30.1278 ], [ -90.5521,29.0119 ], [ -92.3734,29.0119 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5286079de4b00926c2186565","contributors":{"authors":[{"text":"Suir, Glenn M.","contributorId":103558,"corporation":false,"usgs":true,"family":"Suir","given":"Glenn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evers, D. Elaine","contributorId":98448,"corporation":false,"usgs":true,"family":"Evers","given":"D.","email":"","middleInitial":"Elaine","affiliations":[],"preferred":false,"id":486148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":486146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sasser, Charles E.","contributorId":86858,"corporation":false,"usgs":true,"family":"Sasser","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486147,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70104283,"text":"70104283 - 2013 - Comparing two fish sampling standards over time: largely congruent results but with caveats","interactions":[],"lastModifiedDate":"2014-05-13T10:58:54","indexId":"70104283","displayToPublicDate":"2013-10-01T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing two fish sampling standards over time: largely congruent results but with caveats","docAbstract":"<p>1.  We sampled Lake Bourget (surface area = 44 km<sup>2</sup>) using CEN standard gillnet and provisional standard acoustic survey methods over 3 years (2005, 2010 and 2011) as the fish community responded to re-oligotrophication. A total of 16 species were caught in benthic gillnets and three species in pelagic gillnets.</p>\n<br/>\n<p>2.  Lake Bourget results were consistent with a recent study (Emmrich <i>et al., Freshwater Biology</i>, 57, 2012, 2436) showing strong correspondence between average biomass-per-unit-effort (BPUE) in standard benthic gillnets and average acoustic volume backscattering when smaller lakes (0.25–5.45 km<sup>2</sup>) were treated as sample units.</p>\n<br/>\n<p>3.  The BPUE of whitefish (<i>Coregonus lavaretus</i>), perch (<i>Perca fluviatilis</i>) and roach (<i>Rutilus rutilus</i>) measured by benthic gillnets all declined significantly with increasing bathymetric depth; 93% of nets set at depths >50 m caught zero fish.</p>\n<br/>\n<p>4.  Pelagic gillnetting indicated that small (<10 cm) perch and small (<12.5 cm) roach occupied the upper pelagic habitat (0–20 m depths) and that whitefish were predominant in deeper pelagic habitat. The acoustic sampling showed fish biomass in the upper pelagic habitat varied significantly by year. Biomass there was highest in 2010 when a strong perch year-class recruited and lowest in 2011 when recruitment levels of perch and roach were both weak. Whitefish biomass in deep pelagic habitat (>20 m) increased significantly after 2005.</p>\n<br/>\n<p>5.  Both surveys showed whitefish biomass increased significantly during the study, but whitefish ≥25 cm were poorly represented in benthic gillnet catches. Contrary to the acoustic findings, the BPUE of perch and roach in benthic gillnets did not vary significantly over time. This metric is insensitive to changes in size structure in that a high catch of small fish and a low catch of large fish in different years can provide similar average BPUE estimates.</p>\n<br/>\n<p>6.  We examined correlations between BPUE in benthic gillnets and acoustic methods at fine spatial scales by averaging acoustic backscattering measurements encompassed by buffers of varying size (250–2000 m) around individual gillnets and by averaging samples collected from lake quadrants. Correlations at fines scales were generally poor, and only in 1 year was the quadrant correlation significant. The lack of correlation can be explained, in part, by the two gears sampling different components of the fish community. Conversely, in pelagic habitat, where the fish community was simpler, we found BPUE in pelagic nets to be strongly correlated with acoustic backscattering.</p>\n<br/>\n<p>7.  With respect to large lakes like Lake Bourget, we hypothesise that the congruence in average biomass measurements provided by these two survey methods occurs because these different community components are responding similarly to a common driver like lake trophic status (or possibly multiple drivers operating in synergy).</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1111/fwb.12192","usgsCitation":"Yule, D., Evrard, L.M., Cachera, S., Colon, M., and Guillard, J., 2013, Comparing two fish sampling standards over time: largely congruent results but with caveats: Freshwater Biology, v. 58, no. 10, p. 2074-2088, https://doi.org/10.1111/fwb.12192.","productDescription":"15 p.","startPage":"2074","endPage":"2088","numberOfPages":"15","ipdsId":"IP-046420","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":287079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fwb.12192"}],"country":"France","otherGeospatial":"Lake Bourget","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 5.817592,45.648205 ], [ 5.817592,45.805825 ], [ 5.895933,45.805825 ], [ 5.895933,45.648205 ], [ 5.817592,45.648205 ] ] ] } } ] }","volume":"58","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-07-05","publicationStatus":"PW","scienceBaseUri":"53733eece4b04970612788de","contributors":{"authors":[{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":493665,"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":493661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cachera, Sebastien","contributorId":57771,"corporation":false,"usgs":true,"family":"Cachera","given":"Sebastien","email":"","affiliations":[],"preferred":false,"id":493664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colon, Michel","contributorId":19478,"corporation":false,"usgs":true,"family":"Colon","given":"Michel","email":"","affiliations":[],"preferred":false,"id":493663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guillard, Jean","contributorId":8385,"corporation":false,"usgs":true,"family":"Guillard","given":"Jean","email":"","affiliations":[],"preferred":false,"id":493662,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70111788,"text":"70111788 - 2013 - Experimental reintroduction reveals novel life-history variation in Laysan Ducks (<i>Anas laysanensis</i>)","interactions":[],"lastModifiedDate":"2023-10-25T12:51:58.228585","indexId":"70111788","displayToPublicDate":"2013-10-01T10:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Experimental reintroduction reveals novel life-history variation in Laysan Ducks (<i>Anas laysanensis</i>)","docAbstract":"Subfossil remains indicate that the Laysan Duck (<i>Anas laysanensis</i>) formerly occurred throughout the Hawaiian archipelago, but for more than 150 years it has been confined to a single, small atoll in the northwestern chain, Laysan Island. In 2004–2005, 42 ducks were reintroduced from Laysan to Midway Atoll, where they exhibited variation in life history never observed on Laysan. On Laysan, females have never been observed to breed successfully at age 1 year and few attempt it, whereas on Midway, females routinely raised young at <1 year of age. Mean (± SD) clutch size on Midway (7.0 ± 1.1, n = 41) was larger than the maximum clutch size of six eggs observed on Laysan. On Midway, renesting following nest failure (0.55 probability, n = 27) and double brooding (0.50, n = 54) were routine, and two instances of triple brooding were observed, whereas on Laysan, renesting and double brooding are rare (0.05 probability for both during our study; n = 21 and 19, respectively) and triple brooding has never been observed. Other novel life history on Midway included early cessation of parental care to renest. Altered life history on Midway is likely related to better feeding conditions and low population density compared with Laysan. An especially intriguing possibility is that the phenotypic plasticity observed represents exposure of hidden reaction norms evolved when the species inhabited a range of environments, but several alternative explanations exist. Future reintroductions of this species may provide opportunities to test hypotheses about mechanisms underlying phenotypic plasticity.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.13070","usgsCitation":"Walters, J., and Reynolds, M.H., 2013, Experimental reintroduction reveals novel life-history variation in Laysan Ducks (<i>Anas laysanensis</i>): The Auk, v. 130, no. 4, p. 573-579, https://doi.org/10.1525/auk.2013.13070.","productDescription":"7 p.","startPage":"573","endPage":"579","ipdsId":"IP-045688","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473506,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.13070","text":"Publisher Index Page"},{"id":288172,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -177.91,10.03 ], [ -177.91,35.01 ], [ -149.88,35.01 ], [ -149.88,10.03 ], [ -177.91,10.03 ] ] ] } } ] }","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5396d767e4b0f7580bc0a8f4","contributors":{"authors":[{"text":"Walters, Jeffrey R.","contributorId":27997,"corporation":false,"usgs":true,"family":"Walters","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":494475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70238330,"text":"70238330 - 2013 - The biogeographic histories of Pinus edulis and Pinus monophylla over the last 50,000 years","interactions":[],"lastModifiedDate":"2022-11-18T17:00:33.885183","indexId":"70238330","displayToPublicDate":"2013-10-01T10:34:19","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The biogeographic histories of <i>Pinus edulis</i> and <i>Pinus monophylla</i> over the last 50,000 years","title":"The biogeographic histories of Pinus edulis and Pinus monophylla over the last 50,000 years","docAbstract":"<p><span>Well-preserved pine needles found in fossil packrat middens document the biogeographic responses of pinyon pines to changing climates over the last 50,000 years. During the full glacial Wisconsinan (MIS2),&nbsp;</span><i>Pinus monophylla</i><span>&nbsp;(single-needle pinyon),&nbsp;</span><i>Pinus edulis</i><span>&nbsp;(Colorado pinyon), and&nbsp;</span><i>P.&nbsp;edulis</i><span>&nbsp;var.&nbsp;</span><i>fallax</i><span>&nbsp;(Arizona singleleaf pinyon) all grew along the southern portions of their current ranges.&nbsp;</span><i>P. monophylla</i><span>&nbsp;extended from the southern Sierra Nevada across the Mojave Desert to northwestern Arizona.&nbsp;</span><i>P. edulis</i><span>&nbsp;grew from northwestern Arizona across central Arizona to New Mexico and south to westernmost Texas.&nbsp;</span><i>P. edulis</i><span>&nbsp;var.&nbsp;</span><i>fallax</i><span>&nbsp;grew throughout what is now the Sonoran Desert of southern Arizona. Application of the modern climate requirements for these species suggest that winter precipitation at this time was at least 150% of modern, but also that summer precipitation may have been somewhat greater than today, at least at the northernmost end of the Gulf of California. During the Bølling and Allerød intervals&nbsp;</span><i>P.&nbsp;edulis</i><span>&nbsp;and&nbsp;</span><i>P.&nbsp;edulis</i><span>&nbsp;var.&nbsp;</span><i>fallax</i><span>&nbsp;quickly expanded northward over the Mogollon Rim of central Arizona into the Little Colorado&nbsp;River basin&nbsp;and northwestern Arizona. This northerly expansion of the&nbsp;</span><i>fallax</i><span>&nbsp;variety during the Allerød interval suggests that temperatures were warmer than most of the latest Wisconsinan and that summer precipitation was at least 120% of modern. After the rapid warming at the start of the&nbsp;Holocene&nbsp;(11.7&nbsp;ka),&nbsp;</span><i>P.&nbsp;monophylla</i><span>&nbsp;and&nbsp;</span><i>P.&nbsp;edulis</i><span>&nbsp;populations were reduced in extent as their retreating southerly stands were not immediately replaced by expansion into cooler regions. These populations slowly expanded 300–500&nbsp;km northward at rates between 20 and 60&nbsp;m&nbsp;y</span><sup>−1</sup><span>, reaching some of their current northern limits only within the last millennium. Increases in temperature expected over the next several hundred years will result in a similar reduction in populations unless this warming is ameliorated by favorable increases in precipitation. The consistent needle anatomy and distributions of the three types relative to each other suggest that there has been little evolutionary change discernible from these needles over at least the last 25,000 years.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2012.04.037","usgsCitation":"Cole, K.L., Fisher, J.F., Ironside, K.E., Mead, J.I., and Koehler, P., 2013, The biogeographic histories of Pinus edulis and Pinus monophylla over the last 50,000 years: Quaternary International, v. 310, p. 96-110, https://doi.org/10.1016/j.quaint.2012.04.037.","productDescription":"15 p.","startPage":"96","endPage":"110","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":409454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","otherGeospatial":"Chihuahuan Desert, Great Basin Desert, Mojave Desert, Sierra Nevada, Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.69578991237353,\n              39.869933176064194\n            ],\n            [\n              -121.88021882868375,\n              39.75781369136038\n            ],\n            [\n              -120.95610138719888,\n              38.2007805069687\n            ],\n            [\n              -119.627397857548,\n              36.96253774039948\n            ],\n            [\n              -118.79650956357409,\n              35.545590001021964\n            ],\n            [\n              -117.84660146374762,\n              34.279254432083064\n            ],\n            [\n              -116.74258524580608,\n              34.164486262576986\n            ],\n            [\n              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F.","contributorId":84464,"corporation":false,"usgs":true,"family":"Fisher","given":"Jessica","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":857146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":857147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mead, Jim I.","contributorId":87067,"corporation":false,"usgs":true,"family":"Mead","given":"Jim","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":857148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koehler, Peter","contributorId":299111,"corporation":false,"usgs":false,"family":"Koehler","given":"Peter","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":857149,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048087,"text":"70048087 - 2013 - Tsunami flooding","interactions":[],"lastModifiedDate":"2014-05-30T09:59:09","indexId":"70048087","displayToPublicDate":"2013-10-01T10:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Tsunami flooding","docAbstract":"Panel 5 focused on tsunami flooding with an emphasis on Probabilistic Tsunami Hazard \nAnalysis (PTHA) as derived from its counterpart, Probabilistic Seismic Hazard Analysis (PSHA) \nthat determines seismic ground-motion hazards. The Panel reviewed current practices in PTHA \nand determined the viability of extending the analysis to extreme design probabilities (i.e., 10<sup>-4</sup>\n to 10<sup>-6</sup>). In addition to earthquake sources for tsunamis, PTHA for extreme events necessitates \nthe inclusion of tsunamis generated by submarine landslides, and treatment of the large \nattendant uncertainty in source characterization and recurrence rates. Tsunamis can be caused \nby local and distant earthquakes, landslides, volcanism, and asteroid/meteorite impacts. \nCoastal flooding caused by storm surges and seiches is covered in Panel 7. Tsunamis directly \ntied to earthquakes, the similarities with (and path forward offered by) the PSHA approach for \nPTHA, and especially submarine landslide tsunamis were a particular focus of Panel 5.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Workshop on Probabilistic Flood Hazard Assessment (PFHA): Held at the U.S. Nuclear Regulatory Commission Headquarters, Rockville, MD, January 29_31, 2013 (NUREG/CP-0302)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"U.S. Nuclear Regulatory Commission","publisherLocation":"Washington, D.C.","usgsCitation":"Geist, E., Jones, H., McBride, M., and Fedors, R., 2013, Tsunami flooding, <i>in</i> Proceedings of the Workshop on Probabilistic Flood Hazard Assessment (PFHA): Held at the U.S. Nuclear Regulatory Commission Headquarters, Rockville, MD, January 29_31, 2013 (NUREG/CP-0302), p. 6-2-6-7.","productDescription":"6 p.","startPage":"6-2","endPage":"6-7","numberOfPages":"6","ipdsId":"IP-046382","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":287703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285091,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrc.gov/reading-rm/doc-collections/nuregs/conference/cp0302/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870574e4b0aa26cd7b5401","contributors":{"authors":[{"text":"Geist, Eric","contributorId":85512,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","affiliations":[],"preferred":false,"id":483720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Henry","contributorId":12787,"corporation":false,"usgs":true,"family":"Jones","given":"Henry","email":"","affiliations":[],"preferred":false,"id":483719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Mark","contributorId":95393,"corporation":false,"usgs":true,"family":"McBride","given":"Mark","affiliations":[],"preferred":false,"id":483721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fedors, Randy","contributorId":105232,"corporation":false,"usgs":true,"family":"Fedors","given":"Randy","email":"","affiliations":[],"preferred":false,"id":483722,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70057600,"text":"70057600 - 2013 - Normalized rare earth elements in water, sediments, and wine: identifying sources and environmental redox conditions","interactions":[],"lastModifiedDate":"2023-06-02T16:55:36.122562","indexId":"70057600","displayToPublicDate":"2013-10-01T10:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":723,"text":"American Journal of Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Normalized rare earth elements in water, sediments, and wine: identifying sources and environmental redox conditions","docAbstract":"The concentrations of the rare earth elements (REE) in surface waters and sediments, when normalized on an element-by-element basis to one of several rock standards and plotted versus atomic number, yield curves that reveal their partitioning between different sediment fractions and the sources of those fractions, for example, between terrestrial-derived lithogenous debris and seawater-derived biogenous detritus and hydrogenous metal oxides. The REE of ancient sediments support their partitioning into these same fractions and further contribute to the identification of the redox geochemistry of the sea water in which the sediments accumulated. The normalized curves of the REE that have been examined in several South American wine varietals can be interpreted to reflect the lithology of the bedrock on which the vines may have been grown, suggesting limited fractionation during soil development.","language":"English","publisher":"Scientific Research Publishing Inc.","doi":"10.4236/ajac.2013.410A1009","usgsCitation":"Piper, D.Z., and Bau, M., 2013, Normalized rare earth elements in water, sediments, and wine: identifying sources and environmental redox conditions: American Journal of Analytical Chemistry, v. 4, no. 10A, p. 69-83, https://doi.org/10.4236/ajac.2013.410A1009.","productDescription":"15 p.","startPage":"69","endPage":"83","ipdsId":"IP-050753","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473507,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ajac.2013.410a1009","text":"Publisher Index Page"},{"id":279787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"10A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295d128e4b0becc369c8c8a","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":486834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bau, Michael","contributorId":103174,"corporation":false,"usgs":true,"family":"Bau","given":"Michael","email":"","affiliations":[],"preferred":false,"id":486835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046130,"text":"70046130 - 2013 - Creel survey sampling designs for estimating effort in short-duration Chinook salmon fisheries","interactions":[],"lastModifiedDate":"2013-11-07T14:49:27","indexId":"70046130","displayToPublicDate":"2013-10-01T10:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Creel survey sampling designs for estimating effort in short-duration Chinook salmon fisheries","docAbstract":"Chinook Salmon Oncorhynchus tshawytscha sport fisheries in the Columbia River basin are commonly monitored using roving creel survey designs and require precise, unbiased catch estimates. The objective of this study was to examine the relative bias and precision of total catch estimates using various sampling designs to estimate angling effort under the assumption that mean catch rate was known. We obtained information on angling populations based on direct visual observations of portions of Chinook Salmon fisheries in three Idaho river systems over a 23-d period. Based on the angling population, Monte Carlo simulations were used to evaluate the properties of effort and catch estimates for each sampling design. All sampling designs evaluated were relatively unbiased. Systematic random sampling (SYS) resulted in the most precise estimates. The SYS and simple random sampling designs had mean square error (MSE) estimates that were generally half of those observed with cluster sampling designs. The SYS design was more efficient (i.e., higher accuracy per unit cost) than a two-cluster design. Increasing the number of clusters available for sampling within a day decreased the MSE of estimates of daily angling effort, but the MSE of total catch estimates was variable depending on the fishery. The results of our simulations provide guidelines on the relative influence of sample sizes and sampling designs on parameters of interest in short-duration Chinook Salmon fisheries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.822444","usgsCitation":"McCormick, J.L., Quist, M.C., and Schill, D.J., 2013, Creel survey sampling designs for estimating effort in short-duration Chinook salmon fisheries: North American Journal of Fisheries Management, v. 33, no. 5, p. 977-993, https://doi.org/10.1080/02755947.2013.822444.","productDescription":"17 p.","startPage":"977","endPage":"993","numberOfPages":"17","ipdsId":"IP-042901","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":278941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278940,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.822444"}],"country":"United States","state":"Idaho","otherGeospatial":"Clearwater River;Little Salmon River;South Fork Salmon River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.03,43.82 ], [ -117.03,46.53 ], [ -113.74,46.53 ], [ -113.74,43.82 ], [ -117.03,43.82 ] ] ] } } ] }","volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"527cc48be4b0850ea050ce43","contributors":{"authors":[{"text":"McCormick, Joshua L.","contributorId":105193,"corporation":false,"usgs":true,"family":"McCormick","given":"Joshua","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":4042,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":478984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schill, Daniel J.","contributorId":66562,"corporation":false,"usgs":true,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047957,"text":"70047957 - 2013 - An international network of magnetic observatories","interactions":[],"lastModifiedDate":"2014-01-17T10:28:45","indexId":"70047957","displayToPublicDate":"2013-10-01T10:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"An international network of magnetic observatories","docAbstract":"Since its formation in the late 1980s, the International Real-Time Magnetic Observatory Network (INTERMAGNET), a voluntary consortium of geophysical institutes from around the world, has promoted the operation of magnetic observatories according to modern standards [eg. Rasson, 2007]. INTERMAGNET institutes have cooperatively developed infrastructure for data exchange and management ads well as methods for data processing and checking. INTERMAGNET institute have also helped to expand global geomagnetic monitoring capacity, most notably by assisting magnetic observatory institutes in economically developing countries by working directly with local geophysicists. Today the INTERMAGNET consortium encompasses 57 institutes from 40 countries supporting 120 observatories (see Figures 1a and 1b). INTERMAGNET data record a wide variety of time series signals related to a host of different physical processes in the Earth's interiors and in the Earth's surrounding space environment [e.g., Love, 2008]. Observatory data have always had a diverse user community, and to meet evolving demand, INTERMAGNET has recently coordinated the introduction of several new data services.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013EO420001","usgsCitation":"Love, J.J., and Chulliat, A., 2013, An international network of magnetic observatories: Eos, Transactions, American Geophysical Union, v. 94, no. 42, p. 373-374, https://doi.org/10.1002/2013EO420001.","productDescription":"2 p.","startPage":"373","endPage":"374","numberOfPages":"2","ipdsId":"IP-050889","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473508,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2013eo420001","text":"External Repository"},{"id":281234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281233,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013EO420001"}],"volume":"94","issue":"42","noUsgsAuthors":false,"publicationDate":"2013-10-15","publicationStatus":"PW","scienceBaseUri":"53cd4c9ae4b0b290850f114c","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":483400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chulliat, A.","contributorId":108393,"corporation":false,"usgs":true,"family":"Chulliat","given":"A.","affiliations":[],"preferred":false,"id":483401,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70101100,"text":"70101100 - 2013 - Spatial variability of  \"Did You Feel It?\" intensity data:  insights into sampling biases in historical earthquake intensity distributions","interactions":[],"lastModifiedDate":"2014-04-10T10:20:47","indexId":"70101100","displayToPublicDate":"2013-10-01T10:17:00","publicationYear":"2013","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":"Spatial variability of  \"Did You Feel It?\" intensity data:  insights into sampling biases in historical earthquake intensity distributions","docAbstract":"Recent parallel development of improved quantitative methods to analyze intensity distributions for historical earthquakes and of web‐based systems for collecting intensity data for modern earthquakes provides an opportunity to reconsider not only important individual historical earthquakes but also the overall characterization of intensity distributions for historical events. The focus of this study is a comparison between intensity distributions of historical earthquakes with those from modern earthquakes for which intensities have been determined by the U.S. Geological Survey “Did You Feel It?” (DYFI) website (see Data and Resources). As an example of a historical earthquake, I focus initially on the 1843 Marked Tree, Arkansas, event. Its magnitude has been previously estimated as 6.0–6.2. I first reevaluate the macroseismic effects of this earthquake, assigning intensities using a traditional approach, and estimate a preferred magnitude of 5.4. Modified Mercalli intensity (MMI) values for the Marked Tree earthquake are higher, on average, than those from the 2011 <i>>Mw</i> 5.8 Mineral, Virginia, earthquake for distances ≤500  km but comparable or lower on average at larger distances, with a smaller overall felt extent. Intensity distributions for other moderate historical earthquakes reveal similar discrepancies; the discrepancy is also even more pronounced using earlier published intensities for the 1843 earthquake. I discuss several hypotheses to explain the discrepancies, including the possibility that intensity values associated with historical earthquakes are commonly inflated due to reporting/sampling biases. A detailed consideration of the DYFI intensity distribution for the Mineral earthquake illustrates how reporting and sampling biases can account for historical earthquake intensity biases as high as two intensity units and for the qualitative difference in intensity distance decays for modern versus historical events. Thus, intensity maps for historical earthquakes tend to imply more widespread damage patterns than are revealed by intensity distributions of modern earthquakes of comparable magnitude. However, intensity accounts of historical earthquakes often include fragmentary accounts suggesting long‐period shaking effects that will likely not be captured fully in historical intensity distributions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BSSA","doi":"10.1785/0120120285","usgsCitation":"Hough, S.E., 2013, Spatial variability of  \"Did You Feel It?\" intensity data:  insights into sampling biases in historical earthquake intensity distributions: Bulletin of the Seismological Society of America, v. 103, no. 5, p. 2767-2781, https://doi.org/10.1785/0120120285.","productDescription":"15 p.","startPage":"2767","endPage":"2781","ipdsId":"IP-044980","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":286158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286157,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120285"}],"volume":"103","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"53559566e4b0120853e8c201","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":492597,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047017,"text":"70047017 - 2013 - Global change and water availability and quality: Challenges ahead","interactions":[],"lastModifiedDate":"2022-12-13T17:08:28.772656","indexId":"70047017","displayToPublicDate":"2013-10-01T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1.2","title":"Global change and water availability and quality: Challenges ahead","docAbstract":"<p><span>The US is in the midst of a continental scale, multiyear water resources experiment. What are we doing? We are expanding population at two to three times the national growth rate, particularly where water stress is already great. We are expanding irrigated agriculture from the west to the east, where increased competition for water has urban, agricultural, and environmental interests at odds, and increasingly, in court. This experiment and related challenges will continue and likely intensify as nonclimatic and climatic factors, such as predicted rising temperature and changes in the distribution of precipitation in time and space, continue to develop.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive water quality and purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00009-8","usgsCitation":"Larsen, M.C., 2013, Global change and water availability and quality: Challenges ahead, chap. 1.2 <i>of</i> Comprehensive water quality and purification, v. 1, p. 11-20, https://doi.org/10.1016/B978-0-12-382182-9.00009-8.","productDescription":"10 p.","startPage":"11","endPage":"20","ipdsId":"IP-049235","costCenters":[],"links":[{"id":280815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c77e4b0b29085104913","contributors":{"editors":[{"text":"Ahuja, Satinder","contributorId":112819,"corporation":false,"usgs":false,"family":"Ahuja","given":"Satinder","email":"","affiliations":[],"preferred":false,"id":509350,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":480861,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}