{"pageNumber":"698","pageRowStart":"17425","pageSize":"25","recordCount":46666,"records":[{"id":70032674,"text":"70032674 - 2011 - NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH","interactions":[],"lastModifiedDate":"2020-01-09T19:36:27","indexId":"70032674","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH","docAbstract":"NETPATH-WIN is an interactive user version of NETPATH, an inverse geochemical modeling code used to find mass-balance reaction models that are consistent with the observed chemical and isotopic composition of waters from aquatic systems. NETPATH-WIN was constructed to migrate NETPATH applications into the Microsoft WINDOWS® environment. The new version facilitates model utilization by eliminating difficulties in data preparation and results analysis of the DOS version of NETPATH, while preserving all of the capabilities of the original version. Through example applications, the note describes some of the features of NETPATH-WIN as applied to adjustment of radiocarbon data for geochemical reactions in groundwater systems.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00779.x","issn":"0017467X","usgsCitation":"El-Kadi, A., Plummer, N., and Aggarwal, P., 2011, NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH: Ground Water, v. 49, no. 4, p. 593-599, https://doi.org/10.1111/j.1745-6584.2010.00779.x.","productDescription":"7 p.","startPage":"593","endPage":"599","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505a6141e4b0c8380cd71895","contributors":{"authors":[{"text":"El-Kadi, A. I.","contributorId":103838,"corporation":false,"usgs":true,"family":"El-Kadi","given":"A. I.","affiliations":[],"preferred":false,"id":437397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":437396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aggarwal, P.","contributorId":14650,"corporation":false,"usgs":true,"family":"Aggarwal","given":"P.","affiliations":[],"preferred":false,"id":437395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032676,"text":"70032676 - 2011 - Effects of stop-level habitat change on cerulean warbler detections along breeding bird survey routes in the central appalachians","interactions":[],"lastModifiedDate":"2017-11-15T11:54:34","indexId":"70032676","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of stop-level habitat change on cerulean warbler detections along breeding bird survey routes in the central appalachians","docAbstract":"<p> - We examined the effects of habitat change on Cerulean Warbler ( Dendroica cerulea) populations at stops along Breeding Bird Survey (BBS) routes in the central Appalachians. We used aerial photographs to compare early (1967/1971), middle (1982/1985), and late (2000/2003) periods and compared 1992 and 2001 National Land Cover Data (NLCD). Mean Cerulean Warbler detections per stop decreased at 68 BBS stops between the early (0.05) and middle (0.01) time periods and their distribution became more restricted (15 vs. 3% of stops), but the amount of deciduous/mixed forest increased. Mean detections at 240 stops decreased from the middle (0.09) to the late (0.06) time periods, but the deciduous/ mixed forest land cover and fragmentation metrics did not change. The amounts of deciduous/mixed forest, core forest area, and edge density in the NLCD analysis decreased from 1992 to 2001, whereas the amount of non-forest land cover increased. The number of Cerulean Warbler detections did not change (1992 = 0.08, 2001 = 0.10; P = 0.11). The lack of concordance between Cerulean Warbler detections and broad habitat features suggests that smaller, microhabitat features may be most important in affecting Cerulean Warbler breeding habitat suitability. Received 10 October 2009. Accepted 31 March 2011.</p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/09-159.1","issn":"15594491","usgsCitation":"McElhone, P.M., Wood, P.B., and Dawson, D.K., 2011, Effects of stop-level habitat change on cerulean warbler detections along breeding bird survey routes in the central appalachians: Wilson Journal of Ornithology, v. 123, no. 4, p. 699-708, https://doi.org/10.1676/09-159.1.","productDescription":"10 p.","startPage":"699","endPage":"708","numberOfPages":"10","ipdsId":"IP-018949","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":241766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214078,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/09-159.1"}],"country":"United States","otherGeospatial":"Appalachian Mountains","volume":"123","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a07dde4b0c8380cd51889","contributors":{"authors":[{"text":"McElhone, Patrick M.","contributorId":73421,"corporation":false,"usgs":true,"family":"McElhone","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":437401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":437403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Deanna K. ddawson@usgs.gov","contributorId":1257,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":437402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032678,"text":"70032678 - 2011 - A data-driven approach for modeling post-fire debris-flow volumes and their uncertainty","interactions":[],"lastModifiedDate":"2017-05-23T13:36:07","indexId":"70032678","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A data-driven approach for modeling post-fire debris-flow volumes and their uncertainty","docAbstract":"<p>This study demonstrates the novel application of genetic programming to evolve nonlinear post-fire debris-flow volume equations from variables associated with a data-driven conceptual model of the western United States. The search space is constrained using a multi-component objective function that simultaneously minimizes root-mean squared and unit errors for the evolution of fittest equations. An optimization technique is then used to estimate the limits of nonlinear prediction uncertainty associated with the debris-flow equations. In contrast to a published multiple linear regression three-variable equation, linking basin area with slopes greater or equal to 30 percent, burn severity characterized as area burned moderate plus high, and total storm rainfall, the data-driven approach discovers many nonlinear and several dimensionally consistent equations that are unbiased and have less prediction uncertainty. Of the nonlinear equations, the best performance (lowest prediction uncertainty) is achieved when using three variables: average basin slope, total burned area, and total storm rainfall. Further reduction in uncertainty is possible for the nonlinear equations when dimensional consistency is not a priority and by subsequently applying a gradient solver to the fittest solutions. The data-driven modeling approach can be applied to nonlinear multivariate problems in all fields of study.</p>","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.envsoft.2011.07.014","issn":"13648152","usgsCitation":"Friedel, M.J., 2011, A data-driven approach for modeling post-fire debris-flow volumes and their uncertainty: Environmental Modelling and Software, v. 26, no. 12, p. 1583-1598, https://doi.org/10.1016/j.envsoft.2011.07.014.","productDescription":"16 p.","startPage":"1583","endPage":"1598","costCenters":[],"links":[{"id":241259,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e3a6e4b0c8380cd4615a","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":437409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032679,"text":"70032679 - 2011 - Expansion of urban area and wastewater irrigated rice area in Hyderabad, India","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032679","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2111,"text":"Irrigation and Drainage Systems","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of urban area and wastewater irrigated rice area in Hyderabad, India","docAbstract":"The goal of this study was to investigate land use changes in urban and peri-urban Hyderabad and their influence on wastewater irrigated rice using Landsat ETM + data and spectral matching techniques. The main source of irrigation water is the Musi River, which collects a large volume of wastewater and stormwater while running through the city. From 1989 to 2002, the wastewater irrigated area along the Musi River increased from 5,213 to 8,939 ha with concurrent expansion of the city boundaries from 22,690 to 42,813 ha and also decreased barren lands and range lands from 86,899 to 66,616 ha. Opportunistic shifts in land use, especially related to wastewater irrigated agriculture, were seen as a response to the demand for fresh vegetables and easy access to markets, exploited mainly by migrant populations. While wastewater irrigated agriculture contributes to income security of marginal groups, it also supplements the food basket of many city dwellers. Landsat ETM + data and advanced methods such as spectral matching techniques are ideal for quantifying urban expansion and associated land use changes, and are useful for urban planners and decision makers alike. ?? 2011 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Irrigation and Drainage Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10795-011-9117-y","issn":"01686291","usgsCitation":"Gumma, K., van, R.D., Nelson, A., Thenkabail, P., Aakuraju, R.V., and Amerasinghe, P., 2011, Expansion of urban area and wastewater irrigated rice area in Hyderabad, India: Irrigation and Drainage Systems, v. 25, no. 3, p. 135-149, https://doi.org/10.1007/s10795-011-9117-y.","startPage":"135","endPage":"149","numberOfPages":"15","costCenters":[],"links":[{"id":241260,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213615,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10795-011-9117-y"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-01-05","publicationStatus":"PW","scienceBaseUri":"505a0db7e4b0c8380cd53168","contributors":{"authors":[{"text":"Gumma, K.M.","contributorId":6266,"corporation":false,"usgs":true,"family":"Gumma","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":437410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van, Rooijen D.","contributorId":46775,"corporation":false,"usgs":true,"family":"van","given":"Rooijen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":437412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, A.","contributorId":50343,"corporation":false,"usgs":true,"family":"Nelson","given":"A.","affiliations":[],"preferred":false,"id":437413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":437415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aakuraju, Radha V.","contributorId":44359,"corporation":false,"usgs":false,"family":"Aakuraju","given":"Radha","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":437411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amerasinghe, P.","contributorId":53609,"corporation":false,"usgs":true,"family":"Amerasinghe","given":"P.","email":"","affiliations":[],"preferred":false,"id":437414,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036199,"text":"70036199 - 2011 - Redefinition and global estimation of basal ecosystem respiration rate","interactions":[],"lastModifiedDate":"2017-04-06T13:51:15","indexId":"70036199","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Redefinition and global estimation of basal ecosystem respiration rate","docAbstract":"<p><span>Basal ecosystem respiration rate (BR), the ecosystem respiration rate at a given temperature, is a common and important parameter in empirical models for quantifying ecosystem respiration (ER) globally. Numerous studies have indicated that BR varies in space. However, many empirical ER models still use a global constant BR largely due to the lack of a functional description for BR. In this study, we redefined BR to be ecosystem respiration rate at the mean annual temperature. To test the validity of this concept, we conducted a synthesis analysis using 276 site-years of eddy covariance data, from 79 research sites located at latitudes ranging from ∼3°S to ∼70°N. Results showed that mean annual ER rate closely matches ER rate at mean annual temperature. Incorporation of site-specific BR into global ER model substantially improved simulated ER compared to an invariant BR at all sites. These results confirm that ER at the mean annual temperature can be considered as BR in empirical models. A strong correlation was found between the mean annual ER and mean annual gross primary production (GPP). Consequently, GPP, which is typically more accurately modeled, can be used to estimate BR. A light use efficiency GPP model (i.e., EC-LUE) was applied to estimate global GPP, BR and ER with input data from MERRA (Modern Era Retrospective-Analysis for Research and Applications) and MODIS (Moderate resolution Imaging Spectroradiometer). The global ER was 103 Pg C yr </span><sup>−1</sup><span>, with the highest respiration rate over tropical forests and the lowest value in dry and high-latitude areas.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2011GB004150","issn":"08866236","usgsCitation":"Yuan, W., Luo, Y., Li, X., Liu, S., Yu, G., Zhou, T., Bahn, M., Black, A., Desai, A., Cescatti, A., Marcolla, B., Jacobs, C., Chen, J., Aurela, M., Bernhofer, C., Gielen, B., Bohrer, G., Cook, D., Dragoni, D., Dunn, A., Gianelle, D., Grnwald, T., Ibrom, A., Leclerc, M., Lindroth, A., Liu, H., Marchesini, L., Montagnani, L., Pita, G., Rodeghiero, M., Rodrigues, A., Starr, G., and Stoy, P., 2011, Redefinition and global estimation of basal ecosystem respiration rate: Global Biogeochemical Cycles, v. 25, no. 4, p. 1-14, https://doi.org/10.1029/2011GB004150.","productDescription":"Article GB4002; 14 p.","startPage":"1","endPage":"14","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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H.","contributorId":12222,"corporation":false,"usgs":true,"family":"Liu","given":"H.","affiliations":[],"preferred":false,"id":454798,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Marchesini, L.B.","contributorId":38402,"corporation":false,"usgs":true,"family":"Marchesini","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":454809,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Montagnani, L.","contributorId":33157,"corporation":false,"usgs":true,"family":"Montagnani","given":"L.","email":"","affiliations":[],"preferred":false,"id":454806,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Pita, G.","contributorId":42074,"corporation":false,"usgs":true,"family":"Pita","given":"G.","email":"","affiliations":[],"preferred":false,"id":454810,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Rodeghiero, M.","contributorId":107547,"corporation":false,"usgs":true,"family":"Rodeghiero","given":"M.","email":"","affiliations":[],"preferred":false,"id":454830,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Rodrigues, A.","contributorId":45161,"corporation":false,"usgs":true,"family":"Rodrigues","given":"A.","email":"","affiliations":[],"preferred":false,"id":454813,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Starr, G.","contributorId":44776,"corporation":false,"usgs":true,"family":"Starr","given":"G.","email":"","affiliations":[],"preferred":false,"id":454811,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Stoy, Paul C.","contributorId":60860,"corporation":false,"usgs":true,"family":"Stoy","given":"Paul C.","affiliations":[],"preferred":false,"id":454817,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}}
,{"id":70032701,"text":"70032701 - 2011 - Long-term change in perennial vegetation along the Colorado river in Grand Canyon national park (1889-2010)","interactions":[],"lastModifiedDate":"2022-11-09T12:24:47.220654","indexId":"70032701","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Long-term change in perennial vegetation along the Colorado river in Grand Canyon national park (1889-2010)","docAbstract":"Long-term monitoring data are difficult to obtain for high-value resource areas, particularly in remote parts of national parks. One long-used method for evaluating change uses ground-based repeat photography to match historical images of landscapes. River expeditions that documented a proposed railroad route through Grand Canyon with large-format photographs occurred in 1889 and 1890. A total of 452 images from those expeditions are still in existence, and these were matched as closely as possible from December 1989 through March 1992. In 2010 and 2011, we are repeating these matches 120 years after the originals and 20 years after the first matches. This repeat photography provides visual information that can be interpreted for changes in terrestrial and riparian ecosystems along the river corridor, including change in the desert plant assemblages related to increasing winter low temperatures and severe drought. The riparian ecosystem, which originally consisted of native species established along the stage of frequent floods, has increased in area, density, and biomass as both nonnative and native species have become established following flow regulation by Glen Canyon Dam. The original and matched images provide the basis for one element of a robust monitoring program for the effects of climate change on ecosystem resources.","language":"English","publisher":"National Park Service","publisherLocation":"Washington, D.C.","issn":"07359462","usgsCitation":"Webb, R.H., Belnap, J., Scott, M.L., and Esque, T., 2011, Long-term change in perennial vegetation along the Colorado river in Grand Canyon national park (1889-2010): Park Science, v. 28, no. 2, p. 83-87.","productDescription":"5 p.","startPage":"83","endPage":"87","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":241662,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270017,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2201709","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.9799,35.7503 ], [ -113.9799,36.8654 ], [ -111.5871,36.8654 ], [ -111.5871,35.7503 ], [ -113.9799,35.7503 ] ] ] } } ] }","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a497be4b0c8380cd68641","contributors":{"authors":[{"text":"Webb, R. H.","contributorId":13648,"corporation":false,"usgs":true,"family":"Webb","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":437546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":437547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, M. L.","contributorId":75090,"corporation":false,"usgs":true,"family":"Scott","given":"M.","middleInitial":"L.","affiliations":[],"preferred":false,"id":437548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":437549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036196,"text":"70036196 - 2011 - Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic","interactions":[],"lastModifiedDate":"2021-01-25T20:48:00.867474","indexId":"70036196","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"3","title":"Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic","docAbstract":"<p><span>New Circum-Arctic maps of magnetic and gravity anomalies have been produced by merging regional gridded data. Satellite magnetic and gravity data were used for quality control of the long wavelengths of the new compilations. The new Circum-Arctic digital compilations of magnetic, gravity and some of their derivatives have been analyzed together with other freely available regional and global data and models in order to provide a consistent view of the tectonically complex Arctic basins and surrounding continents. Sharp, linear contrasts between deeply buried basement blocks with different magnetic properties and densities that can be identified on these maps can be used, together with other geological and geophysical information, to refine the tectonic boundaries of the Arctic domain.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.3","issn":"04354052","usgsCitation":"Gaina, C., Werner, S., Saltus, R., Maus, S., Aaro, S., Damaske, D., Forsberg, R., Glebovsky, V., Johnson, K.K., Jonberger, J., Koren, T., Korhonen, J., Litvinova, T., Oakey, G., Olesen, O., Petrov, O., Pilkington, M., Rasmussen, T., Schreckenberger, B., and Smelror, M., 2011, Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic: Geological Society Memoir, no. 35, p. 39-48, https://doi.org/10.1144/M35.3.","productDescription":"10 p.","startPage":"39","endPage":"48","costCenters":[],"links":[{"id":246272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218275,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.3"}],"issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd09","contributors":{"authors":[{"text":"Gaina, C.","contributorId":71389,"corporation":false,"usgs":true,"family":"Gaina","given":"C.","email":"","affiliations":[],"preferred":false,"id":454778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, S.C.","contributorId":22170,"corporation":false,"usgs":true,"family":"Werner","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":454770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltus, R.","contributorId":107040,"corporation":false,"usgs":true,"family":"Saltus","given":"R.","email":"","affiliations":[],"preferred":false,"id":454786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maus, S.","contributorId":104315,"corporation":false,"usgs":true,"family":"Maus","given":"S.","email":"","affiliations":[],"preferred":false,"id":454784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aaro, S.","contributorId":107544,"corporation":false,"usgs":true,"family":"Aaro","given":"S.","email":"","affiliations":[],"preferred":false,"id":454787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Damaske, D.","contributorId":66771,"corporation":false,"usgs":true,"family":"Damaske","given":"D.","affiliations":[],"preferred":false,"id":454776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forsberg, R.","contributorId":16213,"corporation":false,"usgs":true,"family":"Forsberg","given":"R.","email":"","affiliations":[],"preferred":false,"id":454769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glebovsky, V.","contributorId":34759,"corporation":false,"usgs":true,"family":"Glebovsky","given":"V.","email":"","affiliations":[],"preferred":false,"id":454772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454781,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jonberger, J.","contributorId":52016,"corporation":false,"usgs":true,"family":"Jonberger","given":"J.","email":"","affiliations":[],"preferred":false,"id":454775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koren, T.","contributorId":43608,"corporation":false,"usgs":true,"family":"Koren","given":"T.","email":"","affiliations":[],"preferred":false,"id":454773,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Korhonen, J.","contributorId":103913,"corporation":false,"usgs":true,"family":"Korhonen","given":"J.","affiliations":[],"preferred":false,"id":454783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Litvinova, T.","contributorId":73045,"corporation":false,"usgs":true,"family":"Litvinova","given":"T.","email":"","affiliations":[],"preferred":false,"id":454779,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oakey, G.","contributorId":68574,"corporation":false,"usgs":true,"family":"Oakey","given":"G.","email":"","affiliations":[],"preferred":false,"id":454777,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Olesen, O.","contributorId":84194,"corporation":false,"usgs":true,"family":"Olesen","given":"O.","email":"","affiliations":[],"preferred":false,"id":454782,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Petrov, O.","contributorId":32386,"corporation":false,"usgs":true,"family":"Petrov","given":"O.","email":"","affiliations":[],"preferred":false,"id":454771,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pilkington, M.","contributorId":105476,"corporation":false,"usgs":true,"family":"Pilkington","given":"M.","email":"","affiliations":[],"preferred":false,"id":454785,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rasmussen, T.","contributorId":50389,"corporation":false,"usgs":true,"family":"Rasmussen","given":"T.","email":"","affiliations":[],"preferred":false,"id":454774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schreckenberger, B.","contributorId":15867,"corporation":false,"usgs":true,"family":"Schreckenberger","given":"B.","email":"","affiliations":[],"preferred":false,"id":454768,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Smelror, M.","contributorId":80523,"corporation":false,"usgs":true,"family":"Smelror","given":"M.","email":"","affiliations":[],"preferred":false,"id":454780,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70036195,"text":"70036195 - 2011 - Detecting aseismic strain transients from seismicity data","interactions":[],"lastModifiedDate":"2021-01-25T20:54:00.728098","indexId":"70036195","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Detecting aseismic strain transients from seismicity data","docAbstract":"<p><span>Aseismic deformation transients such as fluid flow, magma migration, and slow slip can trigger changes in seismicity rate. We present a method that can detect these seismicity rate variations and utilize these anomalies to constrain the underlying variations in stressing rate. Because ordinary aftershock sequences often obscure changes in the background seismicity caused by aseismic processes, we combine the stochastic Epidemic Type Aftershock Sequence model that describes aftershock sequences well and the physically based rate‐ and state‐dependent friction seismicity model into a single seismicity rate model that models both aftershock activity and changes in background seismicity rate. We implement this model into a data assimilation algorithm that inverts seismicity catalogs to estimate space‐time variations in stressing rate. We evaluate the method using a synthetic catalog, and then apply it to a catalog of M ≥ 1.5 events that occurred in the Salton Trough from 1990 to 2009. We validate our stressing rate estimates by comparing them to estimates from a geodetically derived slip model for a large creep event on the Obsidian Buttes fault. The results demonstrate that our approach can identify large aseismic deformation transients in a multidecade long earthquake catalog and roughly constrain the absolute magnitude of the stressing rate transients. Our method can therefore provide a way to detect aseismic transients in regions where geodetic resolution in space or time is poor.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JB007537","issn":"01480227","usgsCitation":"Llenos, A.L., and McGuire, J., 2011, Detecting aseismic strain transients from seismicity data: Journal of Geophysical Research B: Solid Earth, v. 116, no. 6, B06305, 17 p., https://doi.org/10.1029/2010JB007537.","productDescription":"B06305, 17 p.","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475429,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007537","text":"Publisher Index Page"},{"id":246243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218250,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB007537"}],"volume":"116","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"5059ff5fe4b0c8380cd4f14f","contributors":{"authors":[{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":454767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":454766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033965,"text":"70033965 - 2011 - Historical trends of hypoxia in Changjiang River estuary: Applications of chemical biomarkers and microfossils","interactions":[],"lastModifiedDate":"2013-03-09T21:59:34","indexId":"70033965","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Historical trends of hypoxia in Changjiang River estuary: Applications of chemical biomarkers and microfossils","docAbstract":"Over the past two decades China has become the largest global consumer of fertilizers, which has enhanced river nutrient fluxes and caused eutrophication and hypoxia in the Yangtze (Changjiang) large river delta-front estuary (LDE). In this study, we utilized plant pigments, lignin-phenols, stable isotopes (δ<sup>13</sup>C and δ<sup>15</sup>N) and foraminiferal microfossils in <sup>210</sup>Pb dated cores to examine the history of hypoxia in the Changjiang LDE. Two sediment cores were collected onboard R/V Dong Fang Hong 2 using a stainless-steel box-corer; one at a water depth of 24.7 m on Jun. 15, 2006 and the other at 52 m on Nov. 20, 2007, both in the hypoxic region off the Changjiang LDE. There has been a significant increase in the abundance of plant pigments after 1979 that are indicators of enhanced diatom and cyanobacterial abundance, which agrees with post-1980 record of increasing nutrient loads in the Changjiang River. The increased inputs of terrestrially derived materials to the LDE are largely woody plant sources and most likely due to deforestation that began in the early 1950s. However, post-1960 lignin data did not reflect enhanced loading of woody materials despite continued deforestation possibly due to increased trapping from greater dam construction, a reduction of deforestation in the drainage basin since the last 1990s, and soil conservation practices. The lack of linkages between bulk indices (stable isotopes, % OC, molar C/N ratios) and microfossil/chemical biomarkers may reflect relative differences in the amount of carbon tracked by these different proxies. Although NO3− is likely responsible for most of the changes in phytoplankton production (post 1970s), historical changes in N loading from the watershed and hypoxia on the LDE shelf may not be as well linked in East China Sea (ECS) sediments due to possible denitrification/ammonification processes; finally, increases in low-oxygen tolerant foraminiferal microfossils indicate there has been an increase in the number of hypoxic bottom water events on the Changjiang LDE over the past 60 years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jmarsys.2011.02.003","issn":"09247963","usgsCitation":"Li, X., Bianchi, T., Yang, Z., Osterman, L., Allison, M.A., DiMarco, S.F., and Yang, G., 2011, Historical trends of hypoxia in Changjiang River estuary: Applications of chemical biomarkers and microfossils: Journal of Marine Systems, v. 86, no. 3-4, p. 57-68, https://doi.org/10.1016/j.jmarsys.2011.02.003.","productDescription":"12 p.","startPage":"57","endPage":"68","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216775,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jmarsys.2011.02.003"}],"country":"China","otherGeospatial":"Changjiang River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"86","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31aae4b0c8380cd5e10e","contributors":{"authors":[{"text":"Li, X.","contributorId":67635,"corporation":false,"usgs":true,"family":"Li","given":"X.","email":"","affiliations":[],"preferred":false,"id":443433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bianchi, T.S.","contributorId":90500,"corporation":false,"usgs":true,"family":"Bianchi","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":443434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Z.","contributorId":97709,"corporation":false,"usgs":true,"family":"Yang","given":"Z.","affiliations":[],"preferred":false,"id":443435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osterman, L.E.","contributorId":53836,"corporation":false,"usgs":true,"family":"Osterman","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":443432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allison, M. A.","contributorId":49834,"corporation":false,"usgs":true,"family":"Allison","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DiMarco, Steven F.","contributorId":15435,"corporation":false,"usgs":true,"family":"DiMarco","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":443429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, G.","contributorId":23348,"corporation":false,"usgs":true,"family":"Yang","given":"G.","affiliations":[],"preferred":false,"id":443430,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036163,"text":"70036163 - 2011 - Forecasting carbon budget under climate change and CO2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model","interactions":[],"lastModifiedDate":"2017-04-06T14:07:25","indexId":"70036163","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3100,"text":"Polish Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting carbon budget under climate change and CO2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model","docAbstract":"The regional carbon budget of the climatic transition zone may be very sensitive to climate change and increasing atmospheric CO2 concentrations. This study simulated the carbon cycles under these changes using process-based ecosystem models. The Integrated Biosphere Simulator (IBIS), a Dynamic Global Vegetation Model (DGVM), was used to evaluate the impacts of climate change and CO2 fertilization on net primary production (NPP), net ecosystem production (NEP), and the vegetation structure of terrestrial ecosystems in Zhejiang province (area 101,800 km2, mainly covered by subtropical evergreen forest and warm-temperate evergreen broadleaf forest) which is located in the subtropical climate area of China. Two general circulation models (HADCM3 and CGCM3) representing four IPCC climate change scenarios (HC3AA, HC3GG, CGCM-sresa2, and CGCM-sresb1) were used as climate inputs for IBIS. Results show that simulated historical biomass and NPP are consistent with field and other modelled data, which makes the analysis of future carbon budget reliable. The results indicate that NPP over the entire Zhejiang province was about 55 Mt C yr-1 during the last half of the 21st century. An NPP increase of about 24 Mt C by the end of the 21st century was estimated with the combined effects of increasing CO2 and climate change. A slight NPP increase of about 5 Mt C was estimated under the climate change alone scenario. Forests in Zhejiang are currently acting as a carbon sink with an average NEP of about 2.5 Mt C yr-1. NEP will increase to about 5 Mt C yr-1 by the end of the 21st century with the increasing atmospheric CO2 concentration and climate change. However, climate change alone will reduce the forest carbon sequestration of Zhejiang's forests. Future climate warming will substantially change the vegetation cover types; warm-temperate evergreen broadleaf forest will be gradually substituted by subtropical evergreen forest. An increasing CO2 concentration will have little contribution to vegetation changes. Simulated NPP shows geographic patterns consistent with temperature to a certain extent, and precipitation is not the limiting factor for forest NPP in the subtropical climate conditions. There is no close relationship between the spatial pattern of NEP and climate condition.","issn":"15052249","usgsCitation":"Zhu, Q., Jiang, H., Liu, J., Peng, C., Fang, X., Yu, S., Zhou, G., Wei, X., and Ju, W., 2011, Forecasting carbon budget under climate change and CO2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model: Polish Journal of Ecology, v. 59, no. 1, p. 3-24.","productDescription":"22 p.","startPage":"3","endPage":"24","numberOfPages":"22","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246270,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1314e4b0c8380cd544f3","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":454521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":454520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":454515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":454519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":454517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":454516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":454514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":454518,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ju, W.","contributorId":10627,"corporation":false,"usgs":true,"family":"Ju","given":"W.","email":"","affiliations":[],"preferred":false,"id":454513,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70036150,"text":"70036150 - 2011 - Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA)","interactions":[],"lastModifiedDate":"2021-01-26T21:05:33.609315","indexId":"70036150","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA)","docAbstract":"<p><span>Identifying materials by measuring and analyzing their reflectance spectra has been an important method in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow scientists to detect materials and map their distributions across the landscape. With new satellite-borne hyperspectral sensors planned for the future, for example, HYSPIRI (HYPerspectral InfraRed Imager), robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature based analysis of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described in this paper. The core concepts and calculations of MICA are presented. A MICA command file has been developed and applied to map minerals in the full-country coverage of the 2007 Afghanistan HyMap hyperspectral data.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011","conferenceDate":"July 24-29, 2011","conferenceLocation":"Vancouver, BC","language":"English","publisher":"Institute of Electrical and Electronic Engineers","doi":"10.1109/IGARSS.2011.6049370","isbn":"9781457710056","usgsCitation":"Kokaly, R.F., King, T.V., and Hoefen, T.M., 2011, Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA), <i>in</i> International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, July 24-29, 2011, p. 1569-1572, https://doi.org/10.1109/IGARSS.2011.6049370.","productDescription":"4 p.","startPage":"1569","endPage":"1572","costCenters":[],"links":[{"id":475426,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1272791","text":"External Repository"},{"id":246565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218544,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/IGARSS.2011.6049370"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a507fe4b0c8380cd6b70d","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":454460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, T. V. V.","contributorId":6192,"corporation":false,"usgs":true,"family":"King","given":"T.","email":"","middleInitial":"V. V.","affiliations":[],"preferred":false,"id":454458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":454459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036147,"text":"70036147 - 2011 - The application of prototype point processes for the summary and description of California wildfires","interactions":[],"lastModifiedDate":"2021-01-27T13:22:30.851704","indexId":"70036147","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2477,"text":"Journal of Time Series Analysis","active":true,"publicationSubtype":{"id":10}},"title":"The application of prototype point processes for the summary and description of California wildfires","docAbstract":"<p><span>A method for summarizing repeated realizations of a space‐time marked point process, known as prototyping, is discussed and applied to catalogues of wildfires in California. Prototype summaries are constructed for varying time intervals using California wildfire data from 1990 to 2006. Previous work on prototypes for temporal and space‐time point processes is extended here to include methods for computing prototypes with marks and the incorporation of prototype summaries into hierarchical clustering algorithms, the latter of which is used to delineate fire seasons in California. Other results include summaries of patterns in the spatial‐temporal distribution of wildfires within each wildfire season.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1467-9892.2011.00734.x","issn":"01439782","usgsCitation":"Nichols, K., Schoenberg, F., Keeley, J.E., Bray, A., and Diez, D., 2011, The application of prototype point processes for the summary and description of California wildfires: Journal of Time Series Analysis, v. 32, no. 4, p. 420-429, https://doi.org/10.1111/j.1467-9892.2011.00734.x.","productDescription":"10 p.","startPage":"420","endPage":"429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":246498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218483,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1467-9892.2011.00734.x"}],"country":"United 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,{"id":70036146,"text":"70036146 - 2011 - Evaluation of a black-footed ferret resource utilization function model","interactions":[],"lastModifiedDate":"2021-01-27T17:49:53.699457","indexId":"70036146","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a black-footed ferret resource utilization function model","docAbstract":"<p><span>Resource utilization function (RUF) models permit evaluation of potential habitat for endangered species; ideally such models should be evaluated before use in management decision‐making. We evaluated the predictive capabilities of a previously developed black‐footed ferret (</span><i>Mustela nigripes</i><span>) RUF. Using the population‐level RUF, generated from ferret observations at an adjacent yet distinct colony, we predicted the distribution of ferrets within a black‐tailed prairie dog (</span><i>Cynomys ludovicianus</i><span>) colony in the Conata Basin, South Dakota, USA. We evaluated model performance, using data collected during post‐breeding spotlight surveys (2007–2008) by assessing model agreement via weighted compositional analysis and count‐metrics. Compositional analysis of home range use and colony‐level availability, and core area use and home range availability, demonstrated ferret selection of the predicted Very high and High occurrence categories in 2007 and 2008. Simple count‐metrics corroborated these findings and suggested selection of the Very high category in 2007 and the Very high and High categories in 2008. Collectively, these results suggested that the RUF was useful in predicting occurrence and intensity of space use of ferrets at our study site, the 2 objectives of the RUF. Application of this validated RUF would increase the resolution of habitat evaluations, permitting prediction of the distribution of ferrets within distinct colonies. Additional model evaluation at other sites, on other black‐tailed prairie dog colonies of varying resource configuration and size, would increase understanding of influences upon model performance and the general utility of the RUF.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.130","issn":"0022541X","usgsCitation":"Eads, D., Millspaugh, J., Biggins, D.E., Jachowski, D., and Livieri, T., 2011, Evaluation of a black-footed ferret resource utilization function model: Journal of Wildlife Management, v. 75, no. 5, p. 1155-1163, https://doi.org/10.1002/jwmg.130.","productDescription":"9 p.","startPage":"1155","endPage":"1163","costCenters":[],"links":[{"id":246497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218482,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.130"}],"country":"United States","state":"South Dakota","otherGeospatial":"Buffalo Gap National Grasslands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.55712890625,\n              42.99661231842139\n            ],\n            [\n              -101.392822265625,\n              42.99661231842139\n            ],\n            [\n              -101.392822265625,\n              44.28453670601888\n            ],\n            [\n              -103.55712890625,\n              44.28453670601888\n            ],\n            [\n              -103.55712890625,\n              42.99661231842139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c2be4b0c8380cd52a72","contributors":{"authors":[{"text":"Eads, D.A.","contributorId":68973,"corporation":false,"usgs":true,"family":"Eads","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":454438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millspaugh, J.J.","contributorId":99105,"corporation":false,"usgs":true,"family":"Millspaugh","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":454441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":454439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jachowski, D.S.","contributorId":67309,"corporation":false,"usgs":true,"family":"Jachowski","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":454437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Livieri, T.M.","contributorId":96910,"corporation":false,"usgs":true,"family":"Livieri","given":"T.M.","affiliations":[],"preferred":false,"id":454440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036145,"text":"70036145 - 2011 - Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake","interactions":[],"lastModifiedDate":"2021-01-27T18:28:49.065243","indexId":"70036145","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake","docAbstract":"<p><span>Since the work of Kanamori and Given (1981), it has been recognized that shallow, pure dip‐slip earthquakes excite long‐period surface waves such that it is difficult to independently constrain the moment (</span><i>M</i><sub>0</sub><span>) and the dip (</span><i>δ</i><span>) of the source mechanism, with only the product&nbsp;</span><i>M</i><sub>0</sub><span>&nbsp;sin(2</span><i>δ</i><span>) being well constrained. Because of this, it is often assumed that the primary discrepancies between the moments of shallow, thrust earthquakes are due to this moment‐dip tradeoff. In this work, we quantify how severe this moment‐dip tradeoff is depending on the depth of the earthquake, the station distribution, the closeness of the mechanism to pure dip‐slip, and the quality of the data. We find that both long‐period Rayleigh and Love wave modes have moment‐dip resolving power even for shallow events, especially when stations are close to certain azimuths with respect to mechanism strike and when source depth is well determined. We apply these results to USGS W phase inversions of the recent M9.0 Tohoku, Japan earthquake and estimate the likely uncertainties in dip and moment associated with the moment‐ dip tradeoff. After discussing some of the important sources of moment and dip error, we suggest two methods for potentially improving this uncertainty.</span></p>","largerWorkTitle":"Geophysical Research Letters","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL049129","issn":"00948276","usgsCitation":"Tsai, V., Hayes, G.P., and Duputel, Z., 2011, Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake: Geophysical Research Letters, v. 38, no. 20, L00G17, 6 p., https://doi.org/10.1029/2011GL049129.","productDescription":"L00G17, 6 p.","costCenters":[],"links":[{"id":475422,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049129","text":"Publisher Index Page"},{"id":246496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049129"}],"volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-10-25","publicationStatus":"PW","scienceBaseUri":"5059fa0ee4b0c8380cd4d8ee","contributors":{"authors":[{"text":"Tsai, V.C.","contributorId":41661,"corporation":false,"usgs":true,"family":"Tsai","given":"V.C.","email":"","affiliations":[],"preferred":false,"id":454435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":842,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":454436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duputel, Z.","contributorId":37587,"corporation":false,"usgs":true,"family":"Duputel","given":"Z.","affiliations":[],"preferred":false,"id":454434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174864,"text":"70174864 - 2011 - Inland surface water: Chapter 18","interactions":[],"lastModifiedDate":"2018-02-21T16:14:08","indexId":"70174864","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NRS-80","title":"Inland surface water: Chapter 18","docAbstract":"<p>Freshwater aquatic ecosystems include rivers and streams, large and small lakes, reservoirs, and ephemeral ponds. Wetlands are defi ned and discussed in Chapter 17 of this report. It is estimated that there are 123,400 lakes with a surface area greater than 4 ha in the United States. Most lakes, however, are smaller than 4 ha; small lakes account for the majority of lake surface area both globally and in the United States (Table 18.1; Downing et al. 2006). Th e density of lakes varies greatly by region of the country, from 8.4 lakes per 100 km2 in the upper Midwest and 7.8 lakes per 100 km2 in Florida, to much lower values in other areas of the country (e.g., mid-Atlantic, Southeast, and West &lt;1.0 lakes per 100 km2 ) ( Eilers and Selle 1991). Th e cumulative surface area of these lakes is approximately 9.5 million ha. Th e U.S. Geologic Survey's National Hydrographic Dataset (NHD) estimates that there are approximately 1.1 million km of perennial fl owing streams in the United States. Of these about 91 percent are fi rst through fourth order (&ldquo;wadeable&rdquo;) (US EPA 2006).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Assessment of N deposition effects and empirical critical loads of N for ecoregions of the United States","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture, Forest Service, Northern Research Station","usgsCitation":"Baron, J., Driscoll, C.T., and Stoddard, J., 2011, Inland surface water: Chapter 18: General Technical Report NRS-80, 19 p.","productDescription":"19 p.","startPage":"209","endPage":"227","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022968","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325427,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/38109"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578f4f2de4b0ad6235cf001e","contributors":{"authors":[{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":642877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":642878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoddard, J.L.","contributorId":75709,"corporation":false,"usgs":true,"family":"Stoddard","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":642879,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003435,"text":"70003435 - 2011 - Estimating tiger abundance from camera trap data: Field surveys and analytical issues","interactions":[],"lastModifiedDate":"2016-09-26T10:03:21","indexId":"70003435","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating tiger abundance from camera trap data: Field surveys and analytical issues","docAbstract":"<p><span>Automated photography of tigers Panthera tigris for purely illustrative purposes was pioneered by British forester Fred Champion (1927, 1933) in India in the early part of the Twentieth Century. However, it was McDougal (1977) in Nepal who first used camera traps, equipped with single-lens reflex cameras activated by pressure pads, to identify individual tigers and study their social and predatory behaviors. These attempts involved a small number of expensive, cumbersome camera traps, and were not, in any formal sense, directed at “sampling” tiger populations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_7","usgsCitation":"Karanth, K.U., and Nichols, J., 2011, Estimating tiger abundance from camera trap data: Field surveys and analytical issues, chap. <i>of</i> Camera traps in animal ecology, p. 97-117, https://doi.org/10.1007/978-4-431-99495-4_7.","productDescription":"21 p.","startPage":"97","endPage":"117","ipdsId":"IP-020311","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f5bae4b0bc0bec0a1818","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649611,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649612,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649613,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175388,"text":"70175388 - 2011 - Chapter 6: Detectability adjusted count models of songbird abundance","interactions":[{"subject":{"id":70175388,"text":"70175388 - 2011 - Chapter 6: Detectability adjusted count models of songbird abundance","indexId":"70175388","publicationYear":"2011","noYear":false,"chapter":"6","title":"Chapter 6: Detectability adjusted count models of songbird abundance"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:23:49.750715","indexId":"70175388","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Chapter 6: Detectability adjusted count models of songbird abundance","docAbstract":"<p>Sagebrush (<i>Artemisia</i> spp.) steppe ecosystems have experienced recent changes resulting not only in the loss of habitat but also fragmentation and degradation of remaining habitats. As a result, sagebrush-obligate and sagebrush associated songbird populations have experienced population declines over the past several decades. We examined landscape-scale responses in occupancy and abundance for six focal songbird species at 318 survey sites across the Wyoming Basins Ecoregional Assessment (WBEA) area. Occupancy and abundance models were fit for each species using datasets developed at multiple moving window extents to assess landscape-scale relationships between abiotic, habitat, and anthropogenic factors. Anthropogenic factors had less influence on species occupancy or abundance than abiotic and habitat factors. Sagebrush measures were strong predictors of occurrence for sagebrush-obligate species, such as Brewer’s sparrows (<i>Spizella breweri</i>), sage sparrows (<i>Amphispiza</i> <i>belli</i>) and sage thrashers (<i>Oreoscoptes montanus</i>), as well as green-tailed towhees (<i>Pipilo chlorurus</i>), a species associated with mountain shrub communities. Occurrence for lark sparrows (<i>Chondestes</i> <i>grammacus</i>) and vesper sparrows (<i>Pooecetes gramineus</i>), considered shrub steppe-associated species, was also related to big sagebrush communities, but at large spatial extents. Although relationships between anthropogenic variables and occurrence were weak for most species, the consistent relationship with sagebrush habitat variables suggests direct habitat loss and not edge or additional fragmentation effects are causing declines in the avifauna examined in the WBEA area. Thus, natural and anthropogenic disturbances that result in loss of critical habitats are the biggest threats to these species. We applied our models spatially across the WBEA area to identify and prioritize key areas for conservation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Aldridge, C.L., Hanser, S.E., Nielsen, S.E., Leu, M., Cade, B.S., Saher, D.J., and Knick, S.T., 2011, Chapter 6: Detectability adjusted count models of songbird abundance, chap. 6 <i>of</i> Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 141-220.","productDescription":"80 p.","startPage":"141","endPage":"220","numberOfPages":"80","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ja/70175388/70175388.pdf","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.060791015625,\n              40.9964840143779\n            ],\n            [\n              -111.060791015625,\n              45.00365115687189\n            ],\n            [\n              -104.051513671875,\n              45.00365115687189\n            ],\n            [\n              -104.051513671875,\n              40.9964840143779\n            ],\n            [\n              -111.060791015625,\n              40.9964840143779\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad42e4b05e859bdfb8bd","contributors":{"authors":[{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":797680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":797681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielsen, Scott E.","contributorId":65190,"corporation":false,"usgs":true,"family":"Nielsen","given":"Scott","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":797682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leu, Matthias","contributorId":68393,"corporation":false,"usgs":true,"family":"Leu","given":"Matthias","affiliations":[],"preferred":false,"id":797683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":797684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saher, D. Joanne saherj@usgs.gov","contributorId":173537,"corporation":false,"usgs":true,"family":"Saher","given":"D.","email":"saherj@usgs.gov","middleInitial":"Joanne","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":797685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":797686,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70175392,"text":"70175392 - 2011 - Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","interactions":[{"subject":{"id":70175392,"text":"70175392 - 2011 - Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","indexId":"70175392","publicationYear":"2011","noYear":false,"chapter":"8","title":"Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:30:51.708526","indexId":"70175392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","docAbstract":"<p>Management of medium to large-sized terrestrial mammals (Antilocapridae, Canidae, Cervidae, Leporidae, Mustelidae, Ochotonidae) in the western United States is multifaceted and complex. Species in this group generally are charismatic and provide economic opportunities, although others are considered a nuisance at one extreme or are listed as species of conservation concern at the other. Understanding the relative influence of land cover, habitat fragmentation, and human land use on their distribution during the breeding season is imperative to inform management decisions on land use and conservation planning for these species. We surveyed medium to large-sized sagebrush (<i>Artemisia</i> spp.)-associated mammal species in 2005 and 2006 on 141 random transects (mean length = 1.1 km) in the Wyoming Basins, an area undergoing rapid land cover transformation due to human actions including energy development. Overall, we observed 10 species but only obtained enough observations of pronghorn (<i>Antilocapra americana</i>) to develop spatially explicit distribution models. For pronghorn, occurrence related positively to proportion of sagebrush land cover within 0.27 km, mixed shrubland land cover within 3 km, riparian land cover within 5 km, Normalized Difference Vegetation Index (NDVI) within 0.27 km, road density within 5 km, and decay distance to power line corridors at 1 km, but negatively to salt-desert shrubland cover within 18 km and an interaction between sagebrush and NDVI within 0.27 km. We found excellent predictive capability of this model when evaluated with independent test data. The model provides a basis for assessing the effects of proposed development on pronghorn and can aid planning efforts to avoid or mitigate adverse effects on pronghorn.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Leu, M., Hanser, S.E., Aldridge, C.L., Nielsen, S.E., Suring, L.H., and Knick, S.T., 2011, Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution, chap. 8 <i>of</i> Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 315-336.","productDescription":"22 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H.","contributorId":172229,"corporation":false,"usgs":false,"family":"Suring","given":"Lowell","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":797697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":797698,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173543,"text":"70173543 - 2011 - Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002","interactions":[],"lastModifiedDate":"2016-06-14T15:14:11","indexId":"70173543","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002","docAbstract":"<p><span>In accord with the hypotheses driving the Southern Ocean Global Ocean Ecosystems Dynamics (SO GLOBEC) program, we tested the hypothesis that the winter foraging ecology of a major top predator in waters off the Western Antarctic Peninsula (WAP), the Ad&eacute;lie penguin (</span><i>Pygoscelis adeliae</i><span>), is constrained by oceanographic features related to the physiography of the region. This hypothesis grew from the supposition that breeding colonies in the WAP during summer are located adjacent to areas of complex bathymetry where circulation and upwelling processes appear to ensure predictable food resources. Therefore, we tested the additional hypothesis that these areas continue to contribute to the foraging strategy of this species throughout the non-breeding winter season. We used satellite telemetry data collected as part of the SO GLOBEC program during the austral winters of 2001 and 2002 to characterize individual penguin foraging locations in relation to bathymetry, sea ice variability within the pack ice, and wind velocity and divergence (as a proxy for potential areas with cracks and leads). We also explored differences between males and females in core foraging area overlap. Ocean depth was the most influential variable in the determination of foraging location, with most birds focusing their effort on shallow (&lt;200&nbsp;m) waters near land and on mixed-layer (200&ndash;500&nbsp;m) waters near the edge of deep troughs. Within-ice variability and wind (as a proxy for potential areas with cracks and leads) were not found to be influential variables, which is likely because of the low resolution satellite imagery and model outputs that were available. Throughout the study period, all individuals maintained a core foraging area separated from other individuals with very little overlap. However, from a year with light sea ice to one with heavy ice cover (2001&ndash;2002), we observed an increase in the overlap of individual female foraging areas with those of other birds, likely due to restricted access to the water column, reduced prey abundance, or higher prey concentration. Male birds maintained separate core foraging areas with the same small amount of overlap, showing no difference in overlap between the years. While complex bathymetry was an important physical variable influencing the Ad&eacute;lie penguin's foraging, the analysis of sea ice data of a higher resolution than was available for this study may help elucidate the role of sea ice in affecting Ad&eacute;lie penguin winter foraging behavior within the pack ice.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2010.10.054","usgsCitation":"Erdmann, E.S., Ribic, C., Patterson-Fraser, D.L., and Fraser, W., 2011, Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 58, no. 13-16, p. 1710-1718, https://doi.org/10.1016/j.dsr2.2010.10.054.","productDescription":"9 p.","startPage":"1710","endPage":"1718","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013811","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.73828125,\n              -74.86788912917916\n            ],\n            [\n              -81.73828125,\n              -62.34960927573042\n            ],\n            [\n              -55.72265625,\n              -62.34960927573042\n            ],\n            [\n              -55.72265625,\n              -74.86788912917916\n            ],\n            [\n              -81.73828125,\n              -74.86788912917916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"13-16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aaee4b04f417c2ce48a","contributors":{"authors":[{"text":"Erdmann, Eric S.","contributorId":97743,"corporation":false,"usgs":true,"family":"Erdmann","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson-Fraser, Donna L.","contributorId":84726,"corporation":false,"usgs":true,"family":"Patterson-Fraser","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, William R.","contributorId":94277,"corporation":false,"usgs":true,"family":"Fraser","given":"William R.","affiliations":[],"preferred":false,"id":638765,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157248,"text":"70157248 - 2011 - Swallows as a sentinel species for contaminant exposure and effect studies","interactions":[],"lastModifiedDate":"2021-11-09T17:36:53.636876","indexId":"70157248","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Swallows as a sentinel species for contaminant exposure and effect studies","docAbstract":"<p><span>Tree swallows are an important model species to study the effects of contaminants in wild bird populations and have been used extensively in studies across North America. The advantages of swallows compared to other avian species are detailed. Three case histories are provided where swallows have been successfully used in Natural Resource Damage and Ecological Risk Assessments. The final two sections of this chapter are for individuals who want more in-depth information and include a summary of the chemical classes for which there are swallow data, including effect levels when known. Information provided in this section can be used to put exposure to most classes of contaminants into context with other sites across North America. Finally, commonly used endpoints, ranging from population-level down to cellular and genetic endpoints, are discussed including considerations and pitfalls, and when further work is needed to more fully understand the role of environmental and biological variation in interpreting these endpoints.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife ecotoxicology: Forensic approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/978-0-387-89432-4_3","usgsCitation":"Custer, C.M., 2011, Swallows as a sentinel species for contaminant exposure and effect studies, chap. <i>of</i> Wildlife ecotoxicology: Forensic approaches, p. 45-91, https://doi.org/10.1007/978-0-387-89432-4_3.","productDescription":"47 p.","startPage":"45","endPage":"91","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015056","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":308137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-05-31","publicationStatus":"PW","scienceBaseUri":"55f94142e4b05d6c4e5013a9","contributors":{"editors":[{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":572406,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bishop, Christine Annette","contributorId":147717,"corporation":false,"usgs":false,"family":"Bishop","given":"Christine","email":"","middleInitial":"Annette","affiliations":[],"preferred":false,"id":572407,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Morrissey, Christy A.","contributorId":147718,"corporation":false,"usgs":false,"family":"Morrissey","given":"Christy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572408,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":572409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036259,"text":"70036259 - 2011 - A hierarchical spatial framework and database for the national river fish habitat condition assessment","interactions":[],"lastModifiedDate":"2026-01-28T14:45:30.141569","indexId":"70036259","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical spatial framework and database for the national river fish habitat condition assessment","docAbstract":"Fisheries management programs, such as the National Fish Habitat Action Plan (NFHAP), urgently need a nationwide spatial framework and database for health assessment and policy development to protect and improve riverine systems. To meet this need, we developed a spatial framework and database using National Hydrography Dataset Plus (I-.100,000-scale); http://www.horizon-systems.com/nhdplus). This framework uses interconfluence river reaches and their local and network catchments as fundamental spatial river units and a series of ecological and political spatial descriptors as hierarchy structures to allow users to extract or analyze information at spatial scales that they define. This database consists of variables describing channel characteristics, network position/connectivity, climate, elevation, gradient, and size. It contains a series of catchment-natural and human-induced factors that are known to influence river characteristics. Our framework and database assembles all river reaches and their descriptors in one place for the first time for the conterminous United States. This framework and database provides users with the capability of adding data, conducting analyses, developing management scenarios and regulation, and tracking management progresses at a variety of spatial scales. This database provides the essential data needs for achieving the objectives of NFHAP and other management programs. The downloadable beta version database is available at http://ec2-184-73-40-15.compute-1.amazonaws.com/nfhap/main/.","language":"English, Spanish","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/03632415.2011.607075","issn":"03632415","usgsCitation":"Wang, L., Infante, D., Esselman, P., Cooper, A., Wu, D., Taylor, W., Beard, D., Whelan, G., and Ostroff, A., 2011, A hierarchical spatial framework and database for the national river fish habitat condition assessment: Fisheries, v. 36, no. 9, p. 436-449, https://doi.org/10.1080/03632415.2011.607075.","productDescription":"14 p.","startPage":"436","endPage":"449","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":218397,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2011.607075"},{"id":246399,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":475255,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141797","text":"External Repository"}],"volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-07","publicationStatus":"PW","scienceBaseUri":"5059e41ce4b0c8380cd463ff","contributors":{"authors":[{"text":"Wang, L.","contributorId":76904,"corporation":false,"usgs":true,"family":"Wang","given":"L.","email":"","affiliations":[],"preferred":false,"id":455148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Infante, D.","contributorId":71418,"corporation":false,"usgs":true,"family":"Infante","given":"D.","affiliations":[],"preferred":false,"id":455147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, P.","contributorId":67763,"corporation":false,"usgs":true,"family":"Esselman","given":"P.","email":"","affiliations":[],"preferred":false,"id":455146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, A.","contributorId":47517,"corporation":false,"usgs":true,"family":"Cooper","given":"A.","affiliations":[],"preferred":false,"id":455142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, D.","contributorId":57215,"corporation":false,"usgs":true,"family":"Wu","given":"D.","email":"","affiliations":[],"preferred":false,"id":455145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, W.","contributorId":51140,"corporation":false,"usgs":true,"family":"Taylor","given":"W.","email":"","affiliations":[],"preferred":false,"id":455143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beard, D.","contributorId":6305,"corporation":false,"usgs":true,"family":"Beard","given":"D.","email":"","affiliations":[],"preferred":false,"id":455140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whelan, G.","contributorId":52775,"corporation":false,"usgs":true,"family":"Whelan","given":"G.","email":"","affiliations":[],"preferred":false,"id":455144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostroff, A.","contributorId":36401,"corporation":false,"usgs":true,"family":"Ostroff","given":"A.","affiliations":[],"preferred":false,"id":455141,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70159146,"text":"70159146 - 2011 - Chapter 39 The Edwardsburg Formation and related rocks, Windermere Supergroup, central Idaho, USA","interactions":[],"lastModifiedDate":"2015-10-15T16:34:22","indexId":"70159146","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2711,"text":"Memoir of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Chapter 39 The Edwardsburg Formation and related rocks, Windermere Supergroup, central Idaho, USA","docAbstract":"<p><span>In central Idaho, Neoproterozoic stratified rocks are engulfed by the Late Cretaceous Idaho batholith and by Eocene volcanic and plutonic rocks of the Challis event. Studied sections in the Gospel Peaks and Big Creek areas of west-central Idaho are in roof pendants of the Idaho batholith. A drill core section studied from near Challis, east-central Idaho, lies beneath the Challis Volcanic Group and is not exposed at the surface. Metamorphic and deformational overprinting, as well as widespread dismembering by the younger igneous rocks, conceals many primary details. Despite this, these rocks provide important links for regional correlations and have produced critical geochronological data for two Neoproterozoic glacial periods in the North American Cordillera. At the base of the section, the more than 700-m-thick Edwardsburg Formation (Fm.) contains interlayered diamictite and volcanic rocks. There are two diamictite-bearing members in the Edwardsburg Fm. that are closely related in time. Each of the diamictites is associated with intermediate composition tuff or flow rocks and the diamictites are separated by mafic volcanic rocks. SHRIMP U&ndash;Pb dating indicates that the lower diamictite is about 685&plusmn;7 Ma, whereas the upper diamictite is 684&plusmn;4 Ma. The diamictite units are part of a cycle of rocks from coarse clastic, to fine clastic, to carbonate rocks that, by correlation to better preserved sections, are thought to record an older Cryogenian glacial to interglacial period in the northern US Cordillera. The more than 75-m-thick diamictite of Daugherty Gulch is dated at 664&plusmn;6 Ma. This unit is preserved only in drill core and the palaeoenvironmental interpretation and local stratigraphic relations are non-unique. Thus, the date for this diamictite may provide a date for a newly recognized glaciogenic horizon or may be a minimum age for the diamictite in the Edwardsburg Fm. The c. 1000-m-thick Moores Lake Fm. is an amphibolite facies diamictite in which glacial features have not been observed. However, it is part of a sedimentary cycle from unsorted siliclastic deposits to mud and carbonate deposits. Using lithostratigraphy and available geochronology, the Moores Lake Fm. is correlated with a younger succession of Cryogenian glaciogenic rocks in southeastern Idaho. Traditional correlations of Neoproterozoic rocks in the Cordillera recognize two levels of Cryogenian diamictites. The Edwardsburg and Moores Lake diamictites along the middle Cordillera fit well into the scenario of two glacial events. Because of the correlations, dates that provide ages for the diamictites in central Idaho (and corroborated in southeastern Idaho, Link &amp; Fanning 2008) could constrain the age of correlated glaciogenic deposits elsewhere in the Cordillera. However, in the absence of dates for the glaciogenic diamictites in Canadian and southern US Cordilleran sections, the correlations are considered possible but uncertain.</span></p>","language":"English","publisher":"The Geological Society","usgsCitation":"Lund, K., Evans, K.V., and Alienikoff, J.N., 2011, Chapter 39 The Edwardsburg Formation and related rocks, Windermere Supergroup, central Idaho, USA: Memoir of the Geological Society of America, v. 36, p. 437-448.","productDescription":"12 p.","startPage":"437","endPage":"448","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":309968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Central Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.98242187499999,\n              46.17983040759436\n            ],\n            [\n              -114.43359375,\n              46.10370875598026\n            ],\n            [\n              -112.8955078125,\n              44.402391829093915\n            ],\n            [\n              -113.02734374999999,\n              44.02442151965934\n            ],\n            [\n              -117.04833984375001,\n              43.78695837311561\n            ],\n            [\n              -116.96044921875,\n              44.18220395771566\n            ],\n            [\n              -117.20214843749999,\n              44.37098696297173\n            ],\n            [\n              -117.00439453125,\n              44.77793589631623\n            ],\n            [\n              -116.806640625,\n              45.24395342262324\n            ],\n            [\n              -116.78466796875,\n              45.521743896993634\n            ],\n            [\n              -117.04833984375001,\n              46.08847179577592\n            ],\n            [\n              -116.98242187499999,\n              46.17983040759436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620ce57e4b06217fc478acd","contributors":{"authors":[{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":577699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":577700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alienikoff, John N.","contributorId":85078,"corporation":false,"usgs":true,"family":"Alienikoff","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":577701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156280,"text":"70156280 - 2011 - 2011 statistical abstract of the United States","interactions":[],"lastModifiedDate":"2015-08-18T15:31:03","indexId":"70156280","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"2011 statistical abstract of the United States","docAbstract":"<p><span>&lt;p&gt;The &lt;i&gt;Statistical Abstract of the United States&lt;/i&gt;, published since 1878, is the authoritative and comprehensive summary of statistics on the social, political, and economic organization of the United States.&lt;/p&gt; &lt;br/&gt; &lt;p&gt;Use the Abstract as a convenient volume for statistical reference, and as a guide to sources of more information both in print and on the Web.&lt;/p&gt; &lt;br/&gt; &lt;p&gt;Sources of data include the Census Bureau, Bureau of Labor Statistics, Bureau of Economic Analysis, and many other Federal agencies and private organizations.&lt;/p&gt;</span></p>","language":"English","publisher":"United States Census Bureau","publisherLocation":"Reston, VA","usgsCitation":"Krisanda, J.M., 2011, 2011 statistical abstract of the United States.","numberOfPages":"1407","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":306890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45729e4b0518e35469490","contributors":{"authors":[{"text":"Krisanda, Joseph M. jkrisand@usgs.gov","contributorId":3980,"corporation":false,"usgs":true,"family":"Krisanda","given":"Joseph","email":"jkrisand@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":568488,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193781,"text":"70193781 - 2011 - Genetic identity of Thamnophis sp. using microsatellite genetic markers","interactions":[],"lastModifiedDate":"2018-01-26T15:42:48","indexId":"70193781","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5608,"text":"Wisconsin DNR Research Report","active":true,"publicationSubtype":{"id":2}},"title":"Genetic identity of Thamnophis sp. using microsatellite genetic markers","docAbstract":"<p>Butler’s gartersnake (Thamnophis butleri) was previously listed by the Wisconsin Department of Natural Resources as a state threatened species. Several key questions associated with species identity, integrity, and hybridization with other gartersnake species needed to be addressed to further refi ne the management plan for this species. The objectives of this research were: 1) to determine if genetic markers developed in the initial phase of research could identify discrete genetic groups of Wisconsin gartersnakes, 2) to determine if any or all genetic groups delineated in objective one were consistent with Butler’s gartersnake, plains gartersnake (T. radix), and/or common gartersnake (T. sirtalis), and 3) to determine if any of the genetic data were consistent with hybridization occurring between gartersnakes in Wisconsin. Snakes were sampled from various Midwestern locations with a focus on sites in Wisconsin. All snakes were photo-vouchered, morphological landmarks were taken, and a tail snip was collected for genetic analysis. Genetic data from previously developed microsatellite markers discriminated three genetic groups from a composite 13-locus dataset (N=815) using the Bayesian admixture analysis in STRUCTURE v2.3.3. These units were highly consistent with species-groups based on the membership of a small number of known snakes from areas where the species are not thought to co-occur. Using a threshold q-value (proportional genotype) of ≥80%, 498 Butler’s gartersnakes, 93 plains gartersnakes, and 107 common gartersnakes were identifi ed in Wisconsin samples; putative hybrid snakes of Butler’s gartersnake x plain gartersnake (34), Butler’s gartersnake x common gartersnake (8), and a single ambiguous snake were also identifi ed in Wisconsin samples. Levels of divergence among the species groups from Wisconsin were lower than between species groups from other states consistent with either larger than expected Wisconsin population sizes or signifi cant gene fl ow (introgressive hybridization) having occurred among species. Regardless, levels of divergence and overall integrity of the three groups were such that the presence of three species of gartersnakes in Wisconsin was supported and hybridization, at a minimum between Butler’s gartersnakes and the two other species, was shown to occur. </p>","language":"English","publisher":"Wisconsin Department of Natural Resources","usgsCitation":"Sloss, B.L., 2011, Genetic identity of Thamnophis sp. using microsatellite genetic markers: Wisconsin DNR Research Report, 15 p.","productDescription":"15 p.","ipdsId":"IP-033230","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350713,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://dnr.wi.gov/files/PDF/pubs/ss/SS0592.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c99e4b06e28e9cabb22","contributors":{"authors":[{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":720502,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193109,"text":"70193109 - 2011 - Ground motion attenuation during M 7.1 Darfield and M 6.2 Christchurch, New Zealand, earthquakes and performance of global predictive models","interactions":[],"lastModifiedDate":"2019-08-02T10:11:02","indexId":"70193109","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Ground motion attenuation during M 7.1 Darfield and M 6.2 Christchurch, New Zealand, earthquakes and performance of global predictive models","docAbstract":"<p id=\"p-1\">The M 7.1 Darfield earthquake occurred 40 km west of Christchurch (New Zealand) on 4 September 2010. Six months after, the city was struck again with an M 6.2 event on 22 February local time (21 February UTC). These events resulted in significant damage to infrastructure in the city and its suburbs. The purpose of this study is to evaluate the performance of global predictive models (GMPEs) using the strong motion data obtained from these two events to improve future seismic hazard assessment and building code provisions for the Canterbury region.</p><p id=\"p-2\">The Canterbury region is located on the boundary between the Pacific and Australian plates; its surface expression is the active right lateral Alpine fault (Berryman et al. 1993). Beneath the North Island and the north South Island, the Pacific plate subducts obliquely under the Australian plate, while at the southwestern part of the South Island, a reverse process takes place. Although New Zealand has experienced several major earthquakes in the past as a result of its complex seismotectonic environment (<i>e.g.</i>, M 7.1 1888 North Canterbury, M 7.0 1929 Arthur's Pass, and M 6.2 1995 Cass), there was no evidence of prior seismic activity in Christchurch and its surroundings before the September event. The Darfield and Christchurch earthquakes occurred along the previously unmapped Greendale fault in the Canterbury basin, which is covered by Quaternary alluvial deposits (Forsyth et al. 2008). In Figure 1, site conditions of the Canterbury epicentral area are depicted on a<span>&nbsp;</span><i>V<sub>S</sub></i><sub>30</sub><span>&nbsp;</span>map. This map was determined on the basis of topographic slope calculated from a 1-km grid using the method of Allen and Wald (2007). Also shown are the locations of strong motion stations.</p><p id=\"p-3\">The Darfield event was generated as a result of a complex rupture mechanism; the recordings and geodetic data reveal that earthquake consists of three sub-events (Barnhart et al. 201<a id=\"xref-ref-3-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/82/6/866#ref-3\" data-mce-href=\"http://srl.geoscienceworld.org/content/82/6/866#ref-3\">1</a>, page 815 of this issue). The first event was due to rupturing of a blind reverse fault with M 6.2, followed by a second event (M 6.9), releasing the largest portion of the energy on the right-lateral Greendale fault. The third sub-event (M 5.7) is due to a reverse fault with a right-lateral component (Holden et al. 2011). The Christchurch earthquake occurred on an oblique thrust fault. The comparison of spectral acceleration values at stations near Christchurch reveals that the second event produced much larger amplitudes of shaking than the Darfield event due to its proximity to the epicenter. Both events resulted in noticeably large amplitudes of the vertical motion, often exceeding horizontal motion in the near-fault area. The vertical motions, showing asymmetric acceleration traces and pulses, reached 1.26 g during the Darfield earthquake and 2.2 g during the Christchurch event. These events were recorded by more than 100 strong motion stations operated by the Institute of Geological and Nuclear Sciences (http://www.geonet.org.nz/). Using the processed data from these stations, peak ground acceleration (PGA) and 5%-damped spectral acceleration values at 0.3, 1, and 3 s are used for performance evaluation of the global ground motion predictive equations (GMPEs). The selected GMPEs are the Next Generation Attenuation (NGA) models of Abrahamson and Silva (2008), Boore and Atkinson (2008), Campbell and Bozorgnia (2008), and Chiou and Youngs (2008). The Graizer and Kalkan (2007, 2009) model, which is based on the NGA project database, is also included. These GMPEs are abbreviated respectively as AS08, BA08, CB08, CY08, and GK07. Because they have been used widely for seismic hazard analysis for crustal earthquakes, their performance assessment becomes a critical issue especially for immediate response and recovery planning after major events. The occurrence of aftershocks similar to the Christchurch event will most probably control seismic hazard in the broader area, as confirmed by the recent M 6.0 event on June 13, 2011.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.82.6.866","usgsCitation":"Segou, M., and Kalkan, E., 2011, Ground motion attenuation during M 7.1 Darfield and M 6.2 Christchurch, New Zealand, earthquakes and performance of global predictive models: Seismological Research Letters, v. 82, no. 6, p. 866-874, https://doi.org/10.1785/gssrl.82.6.866.","productDescription":"9 p.","startPage":"866","endPage":"874","ipdsId":"IP-032577","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Christchurch, Darfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              170.5,\n              -45\n            ],\n            [\n              173.5,\n              -45\n            ],\n            [\n              173.5,\n              -42\n            ],\n            [\n              170.5,\n              -42\n            ],\n            [\n              170.5,\n              -45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-11-01","publicationStatus":"PW","scienceBaseUri":"59f98bc2e4b0531197afa08c","contributors":{"authors":[{"text":"Segou, Margaret","contributorId":140800,"corporation":false,"usgs":false,"family":"Segou","given":"Margaret","email":"","affiliations":[{"id":13572,"text":"Geoscience Azur","active":true,"usgs":false}],"preferred":false,"id":718213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":718214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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