{"pageNumber":"730","pageRowStart":"18225","pageSize":"25","recordCount":40783,"records":[{"id":70004502,"text":"70004502 - 2011 - Alternative states of a semiarid grassland ecosystem: implications for ecosystem services","interactions":[],"lastModifiedDate":"2012-06-17T01:01:48","indexId":"70004502","displayToPublicDate":"2012-01-01T16:10:17","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Alternative states of a semiarid grassland ecosystem: implications for ecosystem services","docAbstract":"Ecosystems can shift between alternative states characterized by persistent differences in structure, function, and capacity to provide ecosystem services valued by society. We examined empirical evidence for alternative states in a semiarid grassland ecosystem where topographic complexity and contrasting management regimes have led to spatial variations in levels of livestock grazing. Using an inventory data set, we found that plots (n = 72) cluster into three groups corresponding to generalized alternative states identified in an a priori conceptual model. One cluster (biocrust) is notable for high coverage of a biological soil crust functional group in addition to vascular plants. Another (grass-bare) lacks biological crust but retains perennial grasses at levels similar to the biocrust cluster. A third (annualized-bare) is dominated by invasive annual plants. Occurrence of grass-bare and annualized-bare conditions in areas where livestock have been excluded for over 30 years demonstrates the persistence of these states. Significant differences among all three clusters were found for percent bare ground, percent total live cover, and functional group richness. Using data for vegetation structure and soil erodibility, we also found large among-cluster differences in average levels of dust emissions predicted by a wind-erosion model. Predicted emissions were highest for the annualized-bare cluster and lowest for the biocrust cluster, which was characterized by zero or minimal emissions even under conditions of extreme wind. Results illustrate potential trade-offs among ecosystem services including livestock production, soil retention, carbon storage, and biodiversity conservation. Improved understanding of these trade-offs may assist ecosystem managers when evaluating alternative management strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/ES11-00027.1","usgsCitation":"Miller, M.E., Belote, R.T., Bowker, M.A., and Garman, S.L., 2011, Alternative states of a semiarid grassland ecosystem: implications for ecosystem services: Ecosphere, v. 2, no. 5, 18 p.; Article 55, https://doi.org/10.1890/ES11-00027.1.","productDescription":"18 p.; Article 55","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488009,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es11-00027.1","text":"Publisher Index Page"},{"id":257654,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257651,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES11-00027.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"2","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e981e4b0c8380cd4831c","contributors":{"authors":[{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":350516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belote, R. Travis","contributorId":39634,"corporation":false,"usgs":true,"family":"Belote","given":"R.","email":"","middleInitial":"Travis","affiliations":[],"preferred":false,"id":350515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":350513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":350514,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004532,"text":"70004532 - 2011 - Stress conditions inferable from modern magnitudes: development of a model of fault maturity","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"70004532","displayToPublicDate":"2012-01-01T15:48:46","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Stress conditions inferable from modern magnitudes: development of a model of fault maturity","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New Manual of Seismological Observatory Practice 2","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisherLocation":"Reston, VA","doi":"10.2312/GFZ.NMSOP-2_IS_3.5","usgsCitation":"Choy, G., 2011, Stress conditions inferable from modern magnitudes: development of a model of fault maturity, chap. <i>of</i> New Manual of Seismological Observatory Practice 2, p. 1-10, https://doi.org/10.2312/GFZ.NMSOP-2_IS_3.5.","productDescription":"10 p.","startPage":"1","endPage":"10","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257946,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2312/GFZ.NMSOP-2_IS_3.5","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b54e4b08c986b31cde9","contributors":{"editors":[{"text":"Bormann, P.","contributorId":113979,"corporation":false,"usgs":true,"family":"Bormann","given":"P.","email":"","affiliations":[],"preferred":false,"id":508241,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wendt, S.","contributorId":74854,"corporation":false,"usgs":true,"family":"Wendt","given":"S.","email":"","affiliations":[],"preferred":false,"id":508240,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Choy, George L.","contributorId":77959,"corporation":false,"usgs":true,"family":"Choy","given":"George L.","affiliations":[],"preferred":false,"id":350588,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048357,"text":"70048357 - 2011 - Offshore sand-shoal development and evolution of Petit Bois Pass, Mississippi-Alabama Barrier Islands, Mississippi, USA","interactions":[],"lastModifiedDate":"2014-05-28T15:34:04","indexId":"70048357","displayToPublicDate":"2012-01-01T15:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Offshore sand-shoal development and evolution of Petit Bois Pass, Mississippi-Alabama Barrier Islands, Mississippi, USA","docAbstract":"Assessment of recently collected geophysical and sediment-core data identifies an extensive shoal field located off Dauphin and Petit Bois Islands. The shoals are the product of Pleistocene fluvial deposition and Holocene marine-transgressive processes, and their position and orientation oblique to the modern shoreline has been stable over the past century. The underlying stratigraphy has also influenced the evolution of the barrier platform and inlets. Buried distributary channels bisect the platform, creating erosion hotspots that breach during intense and repeated storms. Inlet growth inhibits littoral transport, and over time, reduces the down-drift sand supply. These relations demonstrate the role of the antecedent geologic framework on morphologic evolution. This study is part of the USGS Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project and the USACE Mississippi Coastal Improvements Program. These projects produced a wealth of information regarding coastal geology, geomorphology, and physical resources; some of the initial results are presented here.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2011","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"Coastal Sediments 2011","conferenceDate":"2011-04-30T00:00:00","conferenceLocation":"Miami, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789814355537_0163","usgsCitation":"Flocks, J.G., Kelso, K.W., Twichell, G.C., Buster, N.A., and Baehr, J.N., 2011, Offshore sand-shoal development and evolution of Petit Bois Pass, Mississippi-Alabama Barrier Islands, Mississippi, USA, 14 p., https://doi.org/10.1142/9789814355537_0163.","productDescription":"14 p.","startPage":"2170","endPage":"2183","numberOfPages":"14","ipdsId":"IP-026526","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":287707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287706,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1142/9789814355537_0163"}],"country":"United States","state":"Alabama;Mississippi","otherGeospatial":"Dauphin Island;Gulf Of Mexico;Petit Bois Island;Petit Bois Pass","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.795,29.8044 ], [ -88.795,30.5995 ], [ -87.797,30.5995 ], [ -87.797,29.8044 ], [ -88.795,29.8044 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"53870570e4b0aa26cd7b53e3","contributors":{"editors":[{"text":"Rosati, Julie D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":509613,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":509612,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Roberts, Tiffany M.","contributorId":114195,"corporation":false,"usgs":false,"family":"Roberts","given":"Tiffany","email":"","middleInitial":"M.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":509614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twichell, Gregory C.","contributorId":13146,"corporation":false,"usgs":true,"family":"Twichell","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baehr, John N.","contributorId":85884,"corporation":false,"usgs":true,"family":"Baehr","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":484411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005248,"text":"70005248 - 2011 - A new strategy for developing Vs<sub>30</sub> maps","interactions":[],"lastModifiedDate":"2013-02-19T23:41:55","indexId":"70005248","displayToPublicDate":"2012-01-01T14:52:43","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"A new strategy for developing Vs<sub>30</sub> maps","docAbstract":"Despite obvious limitations as a proxy for site amplification, the use of time-averaged shear-wave velocity over the top 30m (Vs<sub>30</sub>) is useful and widely practiced, most notably through its use as an explanatory variable in ground motion prediction equations (and thus hazard maps and ShakeMaps, among other applications). Local, regional, and global Vs<sub>30</sub> maps thus have diverse and fundamental uses in earthquake and engineering seismology. As such, we are developing an improved strategy for producing Vs<sub>30</sub> maps given the common observational constraints available in any region for various spatial scales. We investigate a hierarchical approach to mapping Vs<sub>30</sub>, where the baseline model is derived from topographic slope because it is available globally, but geological maps and Vs<sub>30</sub> observations contribute, where available. Using the abundant measured Vs<sub>30</sub> values in Taiwan as an example, we analyze Vs<sub>30</sub> versus slope per geologic unit and observe minor trends that indicate potential interaction of geologic and slope terms. We then regress Vs<sub>30</sub> for the geologic Vs<sub>30</sub> medians, topographic-slope, and cross-term coefficients for a hybrid model. The residuals of this hybrid model still exhibit a strong spatial correlation structure, so we use the kriging-with-a-trend method (the trend is the hybrid model) to further refine the Vs<sub>30</sub> map so as to honor the Vs<sub>30</sub> observations. Unlike the geology or slope models alone, this strategytakes advantage of the predictive capabilities of the two models, yet effectively defaults to ordinary kriging in the vicinity of the observed data, thereby achieving consistency with the observed data.","conferenceTitle":"4th IASPEI/IAEE International Symposium: Effects of Surface Geology on Seismic Motion","conferenceDate":"23-AUG-11","conferenceLocation":"Santa Barbara, CA","language":"English","publisher":"University of California Santa Barbara","publisherLocation":"Santa Barbara, CA","usgsCitation":"Wald, D.J., McWhirter, L., Thompson, E., and Hering, A.S., 2011, A new strategy for developing Vs<sub>30</sub> maps, 12 p.","productDescription":"12 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257643,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257641,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://esg4.eri.ucsb.edu/sites/esg4.eri.ucsb.edu/files/6.5%20Wald%20et%20al.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4b7e4b0c8380cd46885","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":352149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWhirter, Leslie","contributorId":104332,"corporation":false,"usgs":true,"family":"McWhirter","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":352152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric","contributorId":33410,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","affiliations":[],"preferred":false,"id":352151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hering, Amanda S.","contributorId":29258,"corporation":false,"usgs":true,"family":"Hering","given":"Amanda","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":352150,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005947,"text":"70005947 - 2011 - The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA","interactions":[],"lastModifiedDate":"2021-02-26T15:25:27.891767","indexId":"70005947","displayToPublicDate":"2012-01-01T14:39:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA","docAbstract":"<p><span>Agricultural contamination of groundwater in northwestern Mississippi, USA, has not been studied extensively, and subsurface fluxes of agricultural chemicals have been presumed minimal. To determine the factors controlling transport of nitrate-N into the Mississippi River Valley alluvial aquifer, a study was conducted from 2006 to 2008 to estimate fluxes of water and solutes for a site in the Bogue Phalia basin (1,250 km</span><sup>2</sup><span>). Water-quality data were collected from a shallow water-table well, a vertical profile of temporary sampling points, and a nearby irrigation well. Nitrate was detected within 4.4 m of the water table but was absent in deeper waters with evidence of reducing conditions and denitrification. Recharge estimates from 6.2 to 10.9 cm/year were quantified using water-table fluctuations, a Cl</span><sup>–</sup><span>&nbsp;tracer method, and atmospheric age-tracers. A mathematical advection-reaction model predicted similar recharge to the aquifer, and also predicted that 15% of applied nitrogen is leached into the saturated zone. With current denitrification and application rates, the nitrate-N front is expected to remain in shallow groundwater, less than 6–9 m deep. Increasing application rates resulting from intensifying agricultural demands may advance the nitrate-N front to 16–23 m, within the zone of groundwater pumping.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10040-011-0748-8","usgsCitation":"Welch, H.L., Green, C.T., and Coupe, R.H., 2011, The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA: Hydrogeology Journal, v. 19, no. 6, p. 1239-1252, https://doi.org/10.1007/s10040-011-0748-8.","productDescription":"14 p.","startPage":"1239","endPage":"1252","temporalStart":"2006-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":204235,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.0986328125,\n              32.41706632846282\n            ],\n            [\n              -89.395751953125,\n              32.41706632846282\n            ],\n            [\n              -89.395751953125,\n              35.06597313798418\n            ],\n            [\n              -91.0986328125,\n              35.06597313798418\n            ],\n            [\n              -91.0986328125,\n              32.41706632846282\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-28","publicationStatus":"PW","scienceBaseUri":"505babf6e4b08c986b3231a3","contributors":{"authors":[{"text":"Welch, Heather L. 0000-0001-8370-7711 hllott@usgs.gov","orcid":"https://orcid.org/0000-0001-8370-7711","contributorId":552,"corporation":false,"usgs":true,"family":"Welch","given":"Heather","email":"hllott@usgs.gov","middleInitial":"L.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":353518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353516,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005650,"text":"70005650 - 2011 - Carbon gas fluxes in re-established wetlands on organic soils differ relative to plant community and hydrology","interactions":[],"lastModifiedDate":"2012-06-14T01:01:39","indexId":"70005650","displayToPublicDate":"2012-01-01T14:19:32","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Carbon gas fluxes in re-established wetlands on organic soils differ relative to plant community and hydrology","docAbstract":"We measured CO<sub>2</sub> and CH<sub>4</sub> fluxes for 6 years following permanent flooding of an agriculturally managed organic soil at two water depths (~25 and ~55 cm standing water) in the Sacramento&ndash;San Joaquin Delta, California, as part of research studying C dynamics in re-established wetlands. Flooding rapidly reduced gaseous C losses, and radiocarbon data showed that this, in part, was due to reduced oxidation of \"old\" C preserved in the organic soils. Both CO<sub>2</sub> and CH<sub>4</sub> emissions from the water surface increased during the first few growing seasons, concomitant with emergent marsh establishment, and thereafter appeared to stabilize according to plant communities. Areas of emergent marsh vegetation in the shallower wetland had greater net CO<sub>2</sub> influx (-485 mg Cm<sup>-1</sup> h<sup>-1</sup>), and lower CH<sub>4</sub> emissions (11.5 mg Cm<sup>-2</sup> h<sup>-1<sup>), than in the deeper wetland (-381 and 14.1 mg Cm<sup>-2</sup> h<sup>-1<sup>, respectively). Areas with submerged and floating vegetation in the deeper wetland had CH<sub>4</sub> emissions similar to emergent vegetation (11.9 and 12.6 mg Cm<sup>-2</sup> h<sup>-1<sup>, respectively), despite lower net CO<sub>2</sub> influx (-102 gC m<sup>-2</sup> h<sup>-1<sup>). Measurements of plant moderated net CO<sub>2</sub> influx and CH<sub>4</sub> efflux indicated greatest potential reduction of greenhouse gases in the more shallowly flooded wetland.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-011-0215-2","usgsCitation":"Miller, R., 2011, Carbon gas fluxes in re-established wetlands on organic soils differ relative to plant community and hydrology: Wetlands, v. 31, no. 6, p. 1055-1066, https://doi.org/10.1007/s13157-011-0215-2.","productDescription":"12 p.","startPage":"1055","endPage":"1066","numberOfPages":"14","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":257572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257553,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0215-2","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-08-23","publicationStatus":"PW","scienceBaseUri":"5059f364e4b0c8380cd4b790","contributors":{"authors":[{"text":"Miller, Robin L. romiller@usgs.gov","contributorId":887,"corporation":false,"usgs":true,"family":"Miller","given":"Robin L.","email":"romiller@usgs.gov","affiliations":[],"preferred":true,"id":353006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005511,"text":"70005511 - 2011 - Book review: World atlas of mangroves","interactions":[],"lastModifiedDate":"2015-12-11T11:40:21","indexId":"70005511","displayToPublicDate":"2012-01-01T13:53:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Book review: World atlas of mangroves","docAbstract":"<p class=\"p1\"><span class=\"s1\">Nearly 14&nbsp;years have passed since the first atlas, <i>World Mangrove Atlas</i> (Spalding et al. </span><span class=\"s2\">1997</span><span class=\"s1\">), was published. While scientists throughout the world have shared their insights about these ecosystems from a handful of &ldquo;classic&rdquo; mangrove ecology treatises, no book since has provided the same platform for understanding the global importance of mangroves by simply defining their distribution. The vast majority of mangrove research programs are modest in size and limited in funding. Nonetheless, much knowledge has been gained since the last atlas, including a potential role for mangroves in storm protection, proactive adjustment of soil surface elevation with sea-level rise, coastal water conservation, economic importance locally, etc. Furthermore, by documenting what can be lost, this book allows the reader to imagine what a world without mangroves might look like (see also <i>Science</i> 317, 41&ndash;42). If the first atlas established a mere image of an important wetland community type in peril, then this current edition paints a picture rivaling what an artist may have envisioned. The <i>World Atlas of Mangroves</i> is a comprehensive, well-written, ambitious, and artistic work that we can certainly recommend, and that should be part of any serious wetland library.</span></p>\n<p>Review info: <i>World Atlas of Mangroves</i>. By Spalding, M., M. Kainuma, and L. Collins, 2010. ISBN: 978-1844076574, 319 pp.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-011-0224-1","usgsCitation":"Krauss, K.W., and Friess, D., 2011, Book review: World atlas of mangroves: Wetlands, v. 31, no. 5, p. 1003-1005, https://doi.org/10.1007/s13157-011-0224-1.","productDescription":"3 p.","startPage":"1003","endPage":"1005","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":261766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261758,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0224-1","linkFileType":{"id":5,"text":"html"}}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505bd32ee4b08c986b32fc16","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":352682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":352683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003947,"text":"70003947 - 2011 - Nesting success and resource selection of greater sage grouse in South Dakota: Chapter 8","interactions":[],"lastModifiedDate":"2018-08-15T15:29:33","indexId":"70003947","displayToPublicDate":"2012-01-01T13:43:37","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3490,"text":"Studies in Avian Biology; Ecology, Conservation, and Management of Grouse","active":true,"publicationSubtype":{"id":10}},"title":"Nesting success and resource selection of greater sage grouse in South Dakota: Chapter 8","docAbstract":"Declines of Greater Sage-Grouse (<i>Centrocercus urophasianus</i>) in South Dakota are a concern because further population declines may lead to isolation from populations in Wyoming and Montana. Furthermore, little information exists about reproductive ecology and resource selection of sage grouse on the eastern edge of their distribution. We investigated Greater Sage-Grouse nesting success and resource selection in South Dakota during 2006-2007. Radiomarked females were tracked to estimate nesting rates, nest success, and habitat resources selected for nesting. Nest initiation was 98.0%, with a maximum likelihood estimate of nest success of 45.6 &plusmn; 5.3%. Females selected nest sites that had greater sagebrush canopy cover and visual obstruction of the nest bowl compared to random sites. Nest survival models indicated that taller grass surrounding nests increased nest survival. Tall grass may supplement the low sagebrush cover in this area in providing suitable nest sites for Greater Sage-Grouse. Land managers on the eastern edge of Greater Sage-Grouse range could focus on increasing sagebrush density while maintaining tall grass by developing range management practices that accomplish this goal. To achieve nest survival rates similar to other populations, predictions from our models suggest 26 cm grass height would result in approximately 50% nest survival. Optimal conditions could be accomplished by adjusting livestock grazing systems and stocking rates.","language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","usgsCitation":"Kaczor, N., Jensen, K.C., Klaver, R.W., Rumble, M.A., Herman-Brunson, K.M., and Swanson, C., 2011, Nesting success and resource selection of greater sage grouse in South Dakota: Chapter 8: Studies in Avian Biology; Ecology, Conservation, and Management of Grouse, v. 39, p. 107-118.","productDescription":"12 p.","startPage":"107","endPage":"118","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":257333,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257326,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/39755","linkFileType":{"id":5,"text":"html"}}],"country":"United 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W.","contributorId":43217,"corporation":false,"usgs":true,"family":"Kaczor","given":"Nicholas W.","affiliations":[],"preferred":false,"id":349663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Kent C.","contributorId":66530,"corporation":false,"usgs":false,"family":"Jensen","given":"Kent","email":"","middleInitial":"C.","affiliations":[{"id":16687,"text":"Department of Natural Resource Management, South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":349667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":349661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rumble, Mark A.","contributorId":84615,"corporation":false,"usgs":true,"family":"Rumble","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":349668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herman-Brunson, Katie M.","contributorId":66109,"corporation":false,"usgs":true,"family":"Herman-Brunson","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swanson, Christopher C.","contributorId":58505,"corporation":false,"usgs":true,"family":"Swanson","given":"Christopher C.","affiliations":[],"preferred":false,"id":349665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003955,"text":"70003955 - 2011 - Predicting breeding habitat for amphibians: a spatiotemporal analysis across Yellowstone National Park","interactions":[],"lastModifiedDate":"2012-06-08T17:03:14","indexId":"70003955","displayToPublicDate":"2012-01-01T13:21:55","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting breeding habitat for amphibians: a spatiotemporal analysis across Yellowstone National Park","docAbstract":"The ability to predict amphibian breeding across landscapes is important for informing land management decisions and helping biologists better understand and remediate factors contributing to declines in amphibian populations. We built geospatial models of likely breeding habitats for each of four amphibian species that breed in Yellowstone National Park (YNP). We used field data collected in 2000-2002 from 497 sites among 16 basins and predictor variables from geospatial models produced from remotely sensed data (e.g., digital elevation model, complex topographic index, landform data, wetland probabililty, and vegetative cover). Except for 31 sites in one basin that were surveyed in both 2000 and 2002, all sites were surveyed once. We used polytomous regression to build statistical models for each species of amphibian from 1) field survey site data only, 2) field data combined with data from geospatial models, and 3) data from geospatial models only. Based on measures of receiver operating characteristic (ROC) scores, models of the second type best explained likely breeding habitat because they contained the most information (ROC values ranged from 0.70 - 0.88). However, models of the third type could be applied to the entire YNP landscape and produced maps that could be verified with reserve field data. Accuracy rates for models built for single years were highly variable, ranging from 0.30 to 0.78. Accuracy rates for models built with data combined from multiple years were higher and less variable, ranging from 0.60 to 0.80. Combining results from the geospatial multiyear models yielded maps of \"core\" breeding areas (areas with high probability values for all three years) surrounded by areas that scored high for only one or two years, providing an estimate of variability among years. Such information can highlight landscape options for amphibian conservation. For example, our models identify alternative for areas that could be protected for each species, including 6828-10 764 ha for tiger salamanders; 971-3017 ha for western toads; 4732-16 696 ha for boreal chorus frogs; 4940-19 690 hectares for Columbia spotted frogs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/10-1261.1","usgsCitation":"Bartelt, P.E., Gallant, A.L., Klaver, R.W., Wright, C.K., Patla, D.A., and Peterson, C.R., 2011, Predicting breeding habitat for amphibians: a spatiotemporal analysis across Yellowstone National Park: Ecological Applications, v. 21, no. 7, p. 2530-2547, https://doi.org/10.1890/10-1261.1.","productDescription":"18 p.","startPage":"2530","endPage":"2547","temporalStart":"2000-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474799,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/10-1261.1","text":"Publisher Index Page"},{"id":257334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257324,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1261.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Yellowstone National Park","volume":"21","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81ace4b0c8380cd7b679","contributors":{"authors":[{"text":"Bartelt, Paul E.","contributorId":18895,"corporation":false,"usgs":true,"family":"Bartelt","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":349697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":349695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":349696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Christopher K.","contributorId":45566,"corporation":false,"usgs":true,"family":"Wright","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":349699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":349698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Charles R.","contributorId":95738,"corporation":false,"usgs":true,"family":"Peterson","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":349700,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70004576,"text":"70004576 - 2011 - Quantifying the influence of sea ice on ocean microseism using observations from the Bering Sea, Alaska","interactions":[],"lastModifiedDate":"2012-06-05T01:01:49","indexId":"70004576","displayToPublicDate":"2012-01-01T13:19:42","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":"Quantifying the influence of sea ice on ocean microseism using observations from the Bering Sea, Alaska","docAbstract":"Microseism is potentially affected by all processes that alter ocean wave heights. Because strong sea ice prevents large ocean waves from forming, sea ice can therefore significantly affect microseism amplitudes. Here we show that this link between sea ice and microseism is not only a robust one but can be quantified. In particular, we show that 75&ndash;90% of the variability in microseism power in the Bering Sea can be predicted using a fairly crude model of microseism damping by sea ice. The success of this simple parameterization suggests that an even stronger link can be established between the mechanical strength of sea ice and microseism power, and that microseism can eventually be used to monitor the strength of sea ice, a quantity that is not as easily observed through other means.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011GL049791","usgsCitation":"Tsai, V., and McNamara, D.E., 2011, Quantifying the influence of sea ice on ocean microseism using observations from the Bering Sea, Alaska: Geophysical Research Letters, v. 38, 5 p.; L22502, https://doi.org/10.1029/2011GL049791.","productDescription":"5 p.; L22502","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474800,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20120105-135036867","text":"External Repository"},{"id":257176,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257167,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049791","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Sea","volume":"38","noUsgsAuthors":false,"publicationDate":"2011-11-19","publicationStatus":"PW","scienceBaseUri":"505a91e9e4b0c8380cd80532","contributors":{"authors":[{"text":"Tsai, Victor C. 0000-0003-1809-6672","orcid":"https://orcid.org/0000-0003-1809-6672","contributorId":87675,"corporation":false,"usgs":true,"family":"Tsai","given":"Victor C.","affiliations":[],"preferred":false,"id":350795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":350794,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004672,"text":"70004672 - 2011 - Estimating riparian understory vegetation cover with beta regression and copula models","interactions":[],"lastModifiedDate":"2017-11-24T16:57:31","indexId":"70004672","displayToPublicDate":"2012-01-01T13:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating riparian understory vegetation cover with beta regression and copula models","docAbstract":"Understory vegetation communities are critical components of forest ecosystems. As a result, the importance of modeling understory vegetation characteristics in forested landscapes has become more apparent. Abundance measures such as shrub cover are bounded between 0 and 1, exhibit heteroscedastic error variance, and are often subject to spatial dependence. These distributional features tend to be ignored when shrub cover data are analyzed. The beta distribution has been used successfully to describe the frequency distribution of vegetation cover. Beta regression models ignoring spatial dependence (BR) and accounting for spatial dependence (BRdep) were used to estimate percent shrub cover as a function of topographic conditions and overstory vegetation structure in riparian zones in western Oregon. The BR models showed poor explanatory power (pseudo-R<sup>2</sup> &le; 0.34) but outperformed ordinary least-squares (OLS) and generalized least-squares (GLS) regression models with logit-transformed response in terms of mean square prediction error and absolute bias. We introduce a copula (COP) model that is based on the beta distribution and accounts for spatial dependence. A simulation study was designed to illustrate the effects of incorrectly assuming normality, equal variance, and spatial independence. It showed that BR, BRdep, and COP models provide unbiased parameter estimates, whereas OLS and GLS models result in slightly biased estimates for two of the three parameters. On the basis of the simulation study, 93&ndash;97% of the GLS, BRdep, and COP confidence intervals covered the true parameters, whereas OLS and BR only resulted in 84&ndash;88% coverage, which demonstrated the superiority of GLS, BRdep, and COP over OLS and BR models in providing standard errors for the parameter estimates in the presence of spatial dependence.","language":"English","publisher":"Society of American Foresters","publisherLocation":"Bethesda, MD","usgsCitation":"Eskelson, B., Madsen, L., Hagar, J.C., and Temesgen, H., 2011, Estimating riparian understory vegetation cover with beta regression and copula models: Forest Science, v. 57, no. 3, p. 212-221.","productDescription":"10 p.","startPage":"212","endPage":"221","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":257649,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257636,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.ingentaconnect.com/content/saf/fs/2011/00000057/00000003/art00005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b3fe4b0c8380cd5263b","contributors":{"authors":[{"text":"Eskelson, Bianca","contributorId":7556,"corporation":false,"usgs":true,"family":"Eskelson","given":"Bianca","email":"","affiliations":[],"preferred":false,"id":351074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, Lisa","contributorId":97754,"corporation":false,"usgs":true,"family":"Madsen","given":"Lisa","affiliations":[],"preferred":false,"id":351077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagar, Joan C. 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":57034,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":351076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temesgen, Hailemariam","contributorId":11053,"corporation":false,"usgs":true,"family":"Temesgen","given":"Hailemariam","email":"","affiliations":[],"preferred":false,"id":351075,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004055,"text":"70004055 - 2011 - Large-scale flow experiments for managing river systems","interactions":[],"lastModifiedDate":"2017-11-20T11:48:03","indexId":"70004055","displayToPublicDate":"2012-01-01T13:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale flow experiments for managing river systems","docAbstract":"Experimental manipulations of streamflow have been used globally in recent decades to mitigate the impacts of dam operations on river systems. Rivers are challenging subjects for experimentation, because they are open systems that cannot be isolated from their social context. We identify principles to address the challenges of conducting effective large-scale flow experiments. Flow experiments have both scientific and social value when they help to resolve specific questions about the ecological action of flow with a clear nexus to water policies and decisions. Water managers must integrate new information into operating policies for large-scale experiments to be effective. Modeling and monitoring can be integrated with experiments to analyze long-term ecological responses. Experimental design should include spatially extensive observations and well-defined, repeated treatments. Large-scale flow manipulations are only a part of dam operations that affect river systems. Scientists can ensure that experimental manipulations continue to be a valuable approach for the scientifically based management of river systems.","language":"English","publisher":"Oxford Journals","doi":"10.1525/bio.2011.61.12.5","usgsCitation":"Konrad, C.P., Olden, J., Lytle, D.A., Melis, T., Schmidt, J.C., Bray, E., Freeman, M., Gido, K., Hemphill, N.P., Kennard, M.J., McMullen, L.E., Mims, M.C., Pyron, M., Robinson, C.T., and Williams, J.G., 2011, Large-scale flow experiments for managing river systems: BioScience, v. 61, no. 12, p. 948-959, https://doi.org/10.1525/bio.2011.61.12.5.","productDescription":"12 p.","startPage":"948","endPage":"959","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":474801,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2011.61.12.5","text":"Publisher Index Page"},{"id":257243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257228,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/bio.2011.61.12.5","linkFileType":{"id":5,"text":"html"}}],"volume":"61","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4496e4b0c8380cd66c20","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":350372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lytle, David A.","contributorId":11868,"corporation":false,"usgs":true,"family":"Lytle","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":350365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":350361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":350362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bray, Erin N.","contributorId":92906,"corporation":false,"usgs":true,"family":"Bray","given":"Erin N.","affiliations":[],"preferred":false,"id":350374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":350363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gido, Keith B.","contributorId":17465,"corporation":false,"usgs":true,"family":"Gido","given":"Keith B.","affiliations":[],"preferred":false,"id":350366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hemphill, Nina P.","contributorId":35173,"corporation":false,"usgs":true,"family":"Hemphill","given":"Nina","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":350370,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kennard, Mark J.","contributorId":81354,"corporation":false,"usgs":true,"family":"Kennard","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350373,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McMullen, Laura E.","contributorId":43216,"corporation":false,"usgs":true,"family":"McMullen","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":350371,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mims, Meryl C.","contributorId":29253,"corporation":false,"usgs":true,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":350369,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pyron, Mark","contributorId":28113,"corporation":false,"usgs":true,"family":"Pyron","given":"Mark","affiliations":[],"preferred":false,"id":350368,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Robinson, Christopher T.","contributorId":25663,"corporation":false,"usgs":true,"family":"Robinson","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":350367,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williams, John G.","contributorId":10270,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":350364,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70005300,"text":"70005300 - 2011 - Long-period earthquake simulations in the Wasatch Front, UT: misfit characterization and ground motion estimates","interactions":[],"lastModifiedDate":"2012-06-05T01:01:48","indexId":"70005300","displayToPublicDate":"2012-01-01T12:35:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Long-period earthquake simulations in the Wasatch Front, UT: misfit characterization and ground motion estimates","docAbstract":"In this research we characterize the goodness-of-fit between observed and synthetic seismograms from three small magnitude (M3.6-4.5) earthquakes in the region using the Wasatch Front community velocity model (WCVM) in order to determine the ability of the WCVM to predict earthquake ground motions for scenario earthquake modeling efforts. We employ the goodness-of-fit algorithms and criteria of Olsen and Mayhew (2010). In focusing comparisons on the ground motion parameters that are of greatest importance in engineering seismology, we find that the synthetic seismograms calculated using the WCVM produce a fair fit to the observed ground motion records up to a frequency of 0.5 Hz for two of the modeled earthquakes and up to 0.1 Hz for one of the earthquakes. In addition to the reference seismic material model (WCVM), we carry out earthquake simulations using material models with perturbations to the regional seismic model and with perturbations to the deep sedimentary basins. Simple perturbations to the regional seismic velocity model and to the seismic velocities of the sedimentary basin result in small improvements in the observed misfit but do not indicate a significantly improved material model. Unresolved differences between the observed and synthetic seismograms are likely due to un-modeled heterogeneities and incorrect basin geometries in the WCVM. These differences suggest that ground motion prediction accuracy from deterministic modeling varies across the region and further efforts to improve the WCVM are needed.","largerWorkTitle":"4th IASPEI/IAEE International Symposium; Effects of Surface Geology on Seismic Motion","conferenceTitle":"Effects of Surface Geology on Seismic Motion","conferenceDate":"23-AUG-12","conferenceLocation":"Santa Barbara, CA","language":"English","publisher":"University of California","publisherLocation":"Santa Barbara, CA","usgsCitation":"Moschetti, M.P., and Ramírez-Guzmán, L., 2011, Long-period earthquake simulations in the Wasatch Front, UT: misfit characterization and ground motion estimates, 12 p.","productDescription":"12 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257160,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257147,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://esg4.eri.ucsb.edu/sites/esg4.eri.ucsb.edu/files/3.7%20Moschetti%20&%20Ramirez-Guzman.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch Front","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a496ce4b0c8380cd685c3","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":352241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramírez-Guzmán, Leonardo","contributorId":45946,"corporation":false,"usgs":true,"family":"Ramírez-Guzmán","given":"Leonardo","affiliations":[],"preferred":false,"id":352242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70113267,"text":"70113267 - 2011 - Response in the trophic state of stratified lakes to changes in hydrology and water level: potential effects of climate change","interactions":[],"lastModifiedDate":"2019-06-21T14:56:14","indexId":"70113267","displayToPublicDate":"2012-01-01T11:56:04","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2502,"text":"Journal of Water and Climate Change","active":true,"publicationSubtype":{"id":10}},"title":"Response in the trophic state of stratified lakes to changes in hydrology and water level: potential effects of climate change","docAbstract":"To determine how climate-induced changes in hydrology and water level may affect the trophic state (productivity) of stratified lakes, two relatively pristine dimictic temperate lakes in Wisconsin, USA, were examined. Both are closed-basin lakes that experience changes in water level and degradation in water quality during periods of high water. One, a seepage lake with no inlets or outlets, has a small drainage basin and hydrology dominated by precipitation and groundwater exchange causing small changes in water and phosphorus (P) loading, which resulted in small changes in water level, P concentrations, and productivity. The other, a terminal lake with inlets but no outlets, has a large drainage basin and hydrology dominated by runoff causing large changes in water and P loading, which resulted in large changes in water level, P concentrations, and productivity. Eutrophication models accurately predicted the effects of changes in hydrology, P loading, and water level on their trophic state. If climate changes, larger changes in hydrology and water levels than previously observed could occur. If this causes increased water and P loading, stratified (dimictic and monomictic) lakes are expected to experience higher water levels and become more eutrophic, especially those with large developed drainage basins.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Water and Climate Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IWA Publishing","publisherLocation":"London","doi":"10.2166/wcc.2011.0026","usgsCitation":"Robertson, D.M., and Rose, W., 2011, Response in the trophic state of stratified lakes to changes in hydrology and water level: potential effects of climate change: Journal of Water and Climate Change, v. 2, no. 1, p. 1-18, https://doi.org/10.2166/wcc.2011.0026.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-016461","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":288910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288907,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2166/wcc.2011.0026"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.89,42.49 ], [ -92.89,47.08 ], [ -86.76,47.08 ], [ -86.76,42.49 ], [ -92.89,42.49 ] ] ] } } ] }","volume":"2","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7816e4b0abf75cf2c954","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, William J. wjrose@usgs.gov","contributorId":2182,"corporation":false,"usgs":true,"family":"Rose","given":"William J.","email":"wjrose@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":495032,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003949,"text":"70003949 - 2011 - Chronology, sedimentology, and microfauna of groundwater discharge deposits in the central Mojave Desert, Valley Wells, California","interactions":[],"lastModifiedDate":"2020-12-18T16:51:10.287825","indexId":"70003949","displayToPublicDate":"2012-01-01T11:40:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Chronology, sedimentology, and microfauna of groundwater discharge deposits in the central Mojave Desert, Valley Wells, California","docAbstract":"<p><span>During the late Pleistocene, emergent groundwater supported persistent and long-lived desert wetlands in many broad valleys and basins in the American Southwest. When active, these systems provided important food and water sources for local fauna, supported hydrophilic and phreatophytic vegetation, and acted as catchments for eolian and alluvial sediments. Desert wetlands are represented in the geologic record by groundwater discharge deposits, which are also called spring or wetland deposits. Groundwater discharge deposits contain information on the timing and magnitude of past changes in water-table levels and, thus, are a source of paleohydrologic and paleoclimatic information. Here, we present the results of an investigation of extensive groundwater discharge deposits in the central Mojave Desert at Valley Wells, California. We used geologic mapping and stratigraphic relations to identify two distinct wetland sequences at Valley Wells, which we dated using radiocarbon, luminescence, and uranium-series techniques. We also analyzed the sediments and microfauna (ostracodes and gastropods) to reconstruct the specific environments in which they formed. Our results suggest that the earliest episode of high water-table conditions at Valley Wells began ca. 60 ka (thousands of calendar yr B.P.), and culminated in peak discharge between ca. 40 and 35 ka. During this time, cold (4–12 °C) emergent groundwater supported extensive wetlands that likely were composed of a wet, sedge-rush-tussock meadow mixed with mesic riparian forest. After ca. 35 ka, the water table dropped below the ground surface but was still shallow enough to support dense stands of phreatophytes through the Last Glacial Maximum (LGM). The water table dropped further after the LGM, and xeric conditions prevailed until modest wetlands returned briefly during the Younger Dryas cold event (13.0–11.6 ka). We did not observe any evidence of wet conditions during the Holocene at Valley Wells. The timing of these fluctuations is consistent with changes in other paleowetland systems in the Mojave Desert, the nearby Great Basin Desert, and in southeastern Arizona, near the border of the Sonoran and Chihuahuan Deserts. The similarities in hydrologic conditions between these disparate locations suggest that changes in groundwater levels during the late Pleistocene in desert wetlands scattered throughout the American Southwest were likely driven by synoptic-scale climate processes.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30357.1","usgsCitation":"Pigati, J., Miller, D., Bright, J.E., Mahan, S., Nekola, J.C., and Paces, J.B., 2011, Chronology, sedimentology, and microfauna of groundwater discharge deposits in the central Mojave Desert, Valley Wells, California: Geological Society of America Bulletin, v. 123, no. 11-12, p. 2224-2239, https://doi.org/10.1130/B30357.1.","productDescription":"16 p.","startPage":"2224","endPage":"2239","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":259177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Valley Wells","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.92910766601562,\n              35.24842291350237\n            ],\n            [\n              -115.41206359863281,\n              35.24842291350237\n            ],\n            [\n              -115.41206359863281,\n              35.619907397876865\n            ],\n            [\n              -115.92910766601562,\n              35.619907397876865\n            ],\n            [\n              -115.92910766601562,\n              35.24842291350237\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5059f5fae4b0c8380cd4c51c","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":60068,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":349682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":349679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordon E.","contributorId":44030,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","email":"","middleInitial":"E.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":349681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":349678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nekola, Jeffrey C.","contributorId":105958,"corporation":false,"usgs":true,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":349680,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039546,"text":"70039546 - 2011 - SICS: the Southern Inland and Coastal System interdisciplinary project of the USGS South Florida Ecosystem Program","interactions":[],"lastModifiedDate":"2016-05-17T15:26:17","indexId":"70039546","displayToPublicDate":"2012-01-01T11:39:43","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"SICS: the Southern Inland and Coastal System interdisciplinary project of the USGS South Florida Ecosystem Program","docAbstract":"<p>State and Federal agencies are working jointly on structural modifications and improved water-delivery strategies to reestablish more natural surface-water flows through the Everglades wetlands and into Florida Bay. Changes in the magnitude, duration, timing, and distribution of inflows from the headwaters of the Taylor Slough and canal C-111 drainage basins have shifted the seasonal distribution and extent of wetland inundation, and also contributed to the development of hypersaline conditions in nearshore embayments of Florida Bay. Such changes are altering biological and vegetative communities in the wetlands and creating stresses on aquatic habitat. Affected biotic resources include federally listed species such as the Cape Sable seaside sparrow, American crocodile, wood stork, and roseate spoonbill. The U.S. Geological Survey (USGS) is synthesizing scientific findings from hydrologic process studies, collecting data to characterize the ecosystem properties and functions, and integrating the results of these efforts into a research tool and management model for this Southern Inland and Coastal System(SICS). Scientists from all four disciplinary divisions of the USGS, Biological Resources, Geology, National Mapping, and Water Resources are contributing to this interdisciplinary project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70039546","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2011, SICS: the Southern Inland and Coastal System interdisciplinary project of the USGS South Florida Ecosystem Program, 3 p., https://doi.org/10.3133/70039546.","productDescription":"3 p.","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":261670,"rank":800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/unnumbered/70039546/report.pdf","text":"Report","size":"1.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":261671,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/unnumbered/70039546/report-thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park, Florida Bay, Taylor Slough","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.8426513671875,\n              24.661994379101547\n            ],\n            [\n              -81.8426513671875,\n              26.150507192328902\n            ],\n            [\n              -80.0738525390625,\n              26.150507192328902\n            ],\n            [\n              -80.0738525390625,\n              24.661994379101547\n            ],\n            [\n              -81.8426513671875,\n              24.661994379101547\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaf4fe4b0c8380cd874fa","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535346,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038718,"text":"70038718 - 2011 - Hurricane impacts on coastal wetlands: A half-century record of storm-generated features from southern Louisiana","interactions":[],"lastModifiedDate":"2021-03-29T18:00:13.282653","indexId":"70038718","displayToPublicDate":"2012-01-01T11:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane impacts on coastal wetlands: A half-century record of storm-generated features from southern Louisiana","docAbstract":"<p><span>Temporally and spatially repeated patterns of wetland erosion, deformation, and deposition are observed on remotely sensed images and in the field after hurricanes cross the coast of Louisiana. The diagnostic morphological wetland features are products of the coupling of high-velocity wind and storm-surge water and their interaction with the underlying, variably resistant, wetland vegetation and soils. Erosional signatures include construction of orthogonal-elongate ponds and amorphous ponds, pond expansion, plucked marsh, marsh denudation, and shoreline erosion. Post-storm gravity reflux of floodwater draining from the wetlands forms dendritic incisions around the pond margins and locally integrates drainage pathways forming braided channels. Depositional signatures include emplacement of broad zones of organic wrack on topographic highs and inorganic deposits of variable thicknesses and lateral extents in the form of shore-parallel sandy washover terraces and interior-marsh mud blankets. Deformational signatures primarily involve laterally compressed marsh and displaced marsh mats and balls. Prolonged water impoundment and marsh salinization also are common impacts associated with wetland flooding by extreme storms. Many of the wetland features become legacies that record prior storm impacts and locally influence subsequent storm-induced morphological changes. Wetland losses caused by hurricane impacts depend directly on impact duration, which is controlled by the diameter of hurricane-force winds, forward speed of the storm, and wetland distance over which the storm passes. Distinguishing between wetland losses caused by storm impacts and losses associated with long-term delta-plain processes is critical for accurate modeling and prediction of future conversion of land to open water.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-10-00185.1","usgsCitation":"Morton, R., and Barras, J., 2011, Hurricane impacts on coastal wetlands: A half-century record of storm-generated features from southern Louisiana: Journal of Coastal Research, v. 27, no. 6A, p. 27-43, https://doi.org/10.2112/JCOASTRES-D-10-00185.1.","productDescription":"17 p.","startPage":"27","endPage":"43","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":257629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.7353515625,\n              28.835049972635176\n            ],\n            [\n              -89.74731445312499,\n              28.835049972635176\n            ],\n            [\n              -89.74731445312499,\n              31.005862904624205\n            ],\n            [\n              -93.7353515625,\n              31.005862904624205\n            ],\n            [\n              -93.7353515625,\n              28.835049972635176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"6A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a32b8e4b0c8380cd5ea18","contributors":{"authors":[{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":464780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":464779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005222,"text":"70005222 - 2011 - Characterization of the intragranular water regime within subsurface sediments: pore volume, surface area, and mass transfer limitations","interactions":[],"lastModifiedDate":"2020-01-14T15:13:13","indexId":"70005222","displayToPublicDate":"2012-01-01T11:13:53","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the intragranular water regime within subsurface sediments: pore volume, surface area, and mass transfer limitations","docAbstract":"Although \"intragranular\" pore space within grain aggregates, grain fractures, and mineral surface coatings may contain a relatively small fraction of the total porosity within a porous medium, it often contains a significant fraction of the reactive surface area, and can thus strongly affect the transport of sorbing solutes. In this work, we demonstrate a batch experiment procedure using tritiated water as a high-resolution diffusive tracer to characterize the intragranular pore space. The method was tested using uranium-contaminated sediments from the vadose and capillary fringe zones beneath the former 300A process ponds at the Hanford site (Washington). Sediments were contacted with tracers in artificial groundwater, followed by a replacement of bulk solution with tracer-free groundwater and the monitoring of tracer release. From these data, intragranular pore volumes were calculated and mass transfer rates were quantified using a multirate first-order mass transfer model. Tritium-hydrogen exchange on surface hydroxyls was accounted for by conducting additional tracer experiments on sediment that was vacuum dried after reaction. The complementary (\"wet\" and \"dry\") techniques allowed for the simultaneous determination of intragranular porosity and surface area using tritium. The Hanford 300A samples exhibited intragranular pore volumes of ~1% of the solid volume and intragranular surface areas of ~20%&ndash;35% of the total surface area. Analogous experiments using bromide ion as a tracer yielded very different results, suggesting very little penetration of bromide into the intragranular porosity.","language":"English","publisher":"American Geophysical Untion","doi":"10.1029/2010WR010303","usgsCitation":"Hay, M.B., Stoliker, D., Davis, J., and Zachara, J.M., 2011, Characterization of the intragranular water regime within subsurface sediments: pore volume, surface area, and mass transfer limitations: Water Resources Research, v. 47, W10531, 19 p., https://doi.org/10.1029/2010WR010303.","productDescription":"W10531, 19 p.","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":474810,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr010303","text":"Publisher Index Page"},{"id":257163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2011-10-29","publicationStatus":"PW","scienceBaseUri":"5059f4e5e4b0c8380cd4bfb0","contributors":{"authors":[{"text":"Hay, Michael B.","contributorId":52445,"corporation":false,"usgs":true,"family":"Hay","given":"Michael","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":352092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":352090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, James A.","contributorId":69289,"corporation":false,"usgs":true,"family":"Davis","given":"James A.","affiliations":[],"preferred":false,"id":352093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352091,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004003,"text":"70004003 - 2011 - Bats of Mesa Verde National Park, Colorado: Composition, reproduction, and roosting habits","interactions":[],"lastModifiedDate":"2021-05-19T12:11:36.349381","indexId":"70004003","displayToPublicDate":"2012-01-01T09:26:49","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2785,"text":"Monographs of the Western North American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Bats of Mesa Verde National Park, Colorado: Composition, reproduction, and roosting habits","docAbstract":"We determined the bat fauna at Mesa Verde National Park (Mesa Verde) in 2006 and 2007, characterized bat elevational distribution and reproduction, and investigated roosting habits of selected species. We captured 1996 bats of 15 species in mist nets set over water during 120 nights of sampling and recorded echolocation calls of an additional species. The bat fauna at Mesa Verde included every species of bat known west of the Great Plains in Colorado, except the little brown bat (<i>Myotis lucifugus</i>). Some species showed skewed sex ratios, primarily due to a preponderance of males. Thirteen species of bats reproduced at Mesa Verde. Major differences in spring precipitation between the 2 years of our study were associated with differences in reproductive rates and, in some species, with numbers of juveniles captured. Reduced reproductive effort during spring drought will have a greater impact on bat populations with the forecasted increase in aridity in much of western North America by models of global climate change. We radiotracked 46 bats of 5 species to roosts and describe the first-known maternity colonies of spotted bats (<i>Euderma maculatum</i>) in Colorado. All 5 species that we tracked to diurnal roosts relied almost exclusively on rock crevices rather than trees or snags, despite the presence of mature forests at Mesa Verde and the use of trees for roosts in similar forests elsewhere by some of these species. Comparisons with past bat surveys at Mesa Verde and in surrounding areas suggest no dramatic evidence for effects of recent stand-replacing fires on the composition of the bat community.","language":"English","publisher":"BioOne","doi":"10.3398/042.005.0101","usgsCitation":"O'Shea, T., Cryan, P., Snider, E.A., Valdez, E.W., Ellison, L.E., and Neubaum, D.J., 2011, Bats of Mesa Verde National Park, Colorado: Composition, reproduction, and roosting habits: Monographs of the Western North American Naturalist, v. 5, no. 1, p. 1-19, https://doi.org/10.3398/042.005.0101.","productDescription":"19 p.","startPage":"1","endPage":"19","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474812,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3398/042.005.0101","text":"Publisher Index Page"},{"id":257191,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Mesa Verde National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.26614379882812,\n              37.23579532804237\n            ],\n            [\n              -108.21395874023438,\n              37.33413244661209\n            ],\n            [\n              -108.42269897460938,\n              37.35815085913536\n            ],\n            [\n              -108.55728149414062,\n              37.28716518793858\n            ],\n            [\n              -108.55865478515625,\n              37.14937133266766\n            ],\n            [\n              -108.44329833984374,\n              37.14499280340635\n            ],\n            [\n              -108.42269897460938,\n              37.199706196161735\n            ],\n            [\n              -108.3251953125,\n              37.201893907733826\n            ],\n            [\n              -108.26614379882812,\n              37.23579532804237\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f021e4b0c8380cd4a5ed","contributors":{"authors":[{"text":"O'Shea, Thomas J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":78071,"corporation":false,"usgs":true,"family":"O'Shea","given":"Thomas J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":350103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":99685,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":350104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snider, E. Apple","contributorId":7554,"corporation":false,"usgs":false,"family":"Snider","given":"E.","email":"","middleInitial":"Apple","affiliations":[],"preferred":false,"id":350101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neubaum, Daniel J.","contributorId":12734,"corporation":false,"usgs":true,"family":"Neubaum","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350102,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003856,"text":"70003856 - 2011 - Rapid Source Characterization of the 2011 Mw 9.0 off the Pacific coast of Tohoku Earthquake","interactions":[],"lastModifiedDate":"2021-01-07T21:32:21.19876","indexId":"70003856","displayToPublicDate":"2012-01-01T08:59:51","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rapid Source Characterization of the 2011 <i>M</i><sub>w</sub> 9.0 off the Pacific coast of Tohoku Earthquake","title":"Rapid Source Characterization of the 2011 Mw 9.0 off the Pacific coast of Tohoku Earthquake","docAbstract":"<p><span>On March 11th, 2011, a moment magnitude 9.0 earthquake struck off the coast of northeast Honshu, Japan, generating what may well turn out to be the most costly natural disaster ever. In the hours following the event, the U.S. Geological Survey National Earthquake Information Center led a rapid response to characterize the earthquake in terms of its location, size, faulting source, shaking and slip distributions, and population exposure, in order to place the disaster in a framework necessary for timely humanitarian response. As part of this effort, fast finite-fault inversions using globally distributed body- and surface-wave data were used to estimate the slip distribution of the earthquake rupture. Models generated within 7 hours of the earthquake origin time indicated that the event ruptured a fault up to 300 km long, roughly centered on the earthquake hypocenter, and involved peak slips of 20 m or more. Updates since this preliminary solution improve the details of this inversion solution and thus our understanding of the rupture process. However, significant observations such as the up-dip nature of rupture propagation and the along-strike length of faulting did not significantly change, demonstrating the usefulness of rapid source characterization for understanding the first order characteristics of major earthquakes.</span></p>","language":"English","publisher":"Springer","doi":"10.5047/eps.2011.05.012","usgsCitation":"Hayes, G., 2011, Rapid Source Characterization of the 2011 Mw 9.0 off the Pacific coast of Tohoku Earthquake: Earth, Planets and Space, v. 63, no. 7, p. 529-534, https://doi.org/10.5047/eps.2011.05.012.","productDescription":"6 p.","startPage":"529","endPage":"534","temporalStart":"2011-03-11","temporalEnd":"2011-03-11","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474813,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5047/eps.2011.05.012","text":"Publisher Index Page"},{"id":257363,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Tohoku, Honshu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              140.9765625,\n              38.47939467327645\n            ],\n            [\n              142.49267578125,\n              38.47939467327645\n            ],\n            [\n              142.49267578125,\n              41.47566020027821\n            ],\n            [\n              140.9765625,\n              41.47566020027821\n            ],\n            [\n              140.9765625,\n              38.47939467327645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-09-27","publicationStatus":"PW","scienceBaseUri":"505a94b6e4b0c8380cd81590","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":349164,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042199,"text":"70042199 - 2011 - Selectivity evaluation for two experimental gill-net configurations used to sample Lake Erie walleyes","interactions":[],"lastModifiedDate":"2012-12-28T18:28:42","indexId":"70042199","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Selectivity evaluation for two experimental gill-net configurations used to sample Lake Erie walleyes","docAbstract":"We used length frequencies of captured walleyes <i>Sander vitreus</i> to indirectly estimate and compare selectivity between two experimental gill-net configurations used to sample fish in Lake Erie: (1) a multifilament configuration currently used by the Ohio Department of Natural Resources (ODNR) with stretched-measure mesh sizes ranging from 51 to 127 mm and a constant filament diameter (0.37 mm); and (2) a monofilament configuration with mesh sizes ranging from 38 to 178 mm and varying filament diameter (range = 0.20–0.33 mm). Paired sampling with the two configurations revealed that the catch of walleyes smaller than 250 mm and larger than 600 mm was greater in the monofilament configuration than in the multifilament configuration, but the catch of 250–600-mm fish was greater in the multifilament configuration. Binormal selectivity functions yielded the best fit to observed walleye catches for both gill-net configurations based on model deviances. Incorporation of deviation terms in the binormal selectivity functions (i.e., to relax the assumption of geometric similarity) further improved the fit to observed catches. The final fitted selectivity functions produced results similar to those from the length-based catch comparisons: the monofilament configuration had greater selectivity for small and large walleyes and the multifilament configuration had greater selectivity for mid-sized walleyes. Computer simulations that incorporated the fitted binormal selectivity functions indicated that both nets were likely to result in some bias in age composition estimates and that the degree of bias would ultimately be determined by the underlying condition, mortality rate, and growth rate of the Lake Erie walleye population. Before the ODNR switches its survey gear, additional comparisons of the different gill-net configurations, such as fishing the net pairs across a greater range of depths and at more locations in the lake, should be conducted to maintain congruence in the fishery-independent survey time series.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2011.623758","usgsCitation":"Vandergoot, C.S., Kocovsky, P., Brenden, T.O., and Liu, W., 2011, Selectivity evaluation for two experimental gill-net configurations used to sample Lake Erie walleyes: North American Journal of Fisheries Management, v. 31, no. 5, p. 832-842, https://doi.org/10.1080/02755947.2011.623758.","productDescription":"11 p.","startPage":"832","endPage":"842","ipdsId":"IP-026640","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264916,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.623758"}],"otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3971 ], [ -83.4797,43.2635 ], [ -78.8539,43.2635 ], [ -78.8539,41.3971 ], [ -83.4797,41.3971 ] ] ] } } ] }","volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-10-21","publicationStatus":"PW","scienceBaseUri":"50e4c0a5e4b0e8fec6ce0210","contributors":{"authors":[{"text":"Vandergoot, Christopher S.","contributorId":71849,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":470945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":470946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, Travis O.","contributorId":13876,"corporation":false,"usgs":true,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":470944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Weihai","contributorId":104786,"corporation":false,"usgs":true,"family":"Liu","given":"Weihai","email":"","affiliations":[],"preferred":false,"id":470947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041801,"text":"70041801 - 2011 - Testing long-period ground-motion simulations of scenario earthquakes using the Mw 7.2 El Mayor-Cucapah mainshock: Evaluation of finite-fault rupture characterization and 3D seismic velocity models","interactions":[],"lastModifiedDate":"2018-03-29T11:09:48","indexId":"70041801","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testing long-period ground-motion simulations of scenario earthquakes using the <i>M<sub>w</sub></i> 7.2 El Mayor-Cucapah mainshock: Evaluation of finite-fault rupture characterization and 3D seismic velocity models","title":"Testing long-period ground-motion simulations of scenario earthquakes using the Mw 7.2 El Mayor-Cucapah mainshock: Evaluation of finite-fault rupture characterization and 3D seismic velocity models","docAbstract":"<p><span>Using a suite of five hypothetical finite-fault rupture models, we test the ability of long-period (</span><i>T</i><span>&gt;2.0 s) ground-motion simulations of scenario earthquakes to produce waveforms throughout southern California consistent with those recorded during the 4 April 2010<span>&nbsp;</span></span><i>M</i><sub>w</sub><span>&nbsp;7.2 El Mayor-Cucapah earthquake. The hypothetical ruptures are generated using the methodology proposed by<span>&nbsp;</span></span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf15\">Graves and Pitarka (2010)</a><span><span>&nbsp;</span>and require, as inputs, only a general description of the fault location and geometry, event magnitude, and hypocenter, as would be done for a scenario event. For each rupture model, two Southern California Earthquake Center three-dimensional community seismic velocity models (CVM-4m and CVM-H62) are used, resulting in a total of 10 ground-motion simulations, which we compare with recorded ground motions. While the details of the motions vary across the simulations, the median levels match the observed peak ground velocities reasonably well, with the standard deviation of the residuals generally within 50% of the median. Simulations with the CVM-4m model yield somewhat lower variance than those with the CVM-H62 model. Both models tend to overpredict motions in the San Diego region and underpredict motions in the Mojave desert. Within the greater Los Angeles basin, the CVM-4m model generally matches the level of observed motions, whereas the CVM-H62 model tends to overpredict the motions, particularly in the southern portion of the basin. The variance in the peak velocity residuals is lowest for a rupture that has significant shallow slip (&lt;5&nbsp;km depth), whereas the variance in the residuals is greatest for ruptures with large asperities below 10&nbsp;km depth. Overall, these results are encouraging and provide confidence in the predictive capabilities of the simulation methodology, while also suggesting some regions in which the seismic velocity models may need improvement.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120100233","usgsCitation":"Graves, R.W., and Aagaard, B.T., 2011, Testing long-period ground-motion simulations of scenario earthquakes using the Mw 7.2 El Mayor-Cucapah mainshock: Evaluation of finite-fault rupture characterization and 3D seismic velocity models: Bulletin of the Seismological Society of America, v. 101, no. 2, p. 895-907, https://doi.org/10.1785/0120100233.","productDescription":"13 p.","startPage":"895","endPage":"907","ipdsId":"IP-023930","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"101","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-22","publicationStatus":"PW","scienceBaseUri":"50cc592fe4b00ab7c548c6de","contributors":{"authors":[{"text":"Graves, Robert W. rwgraves@usgs.gov","contributorId":3149,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","middleInitial":"W.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":470224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":470225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044529,"text":"70044529 - 2011 - A trans-dimensional Bayesian Markov chain Monte Carlo algorithm for model assessment using frequency-domain electromagnetic data","interactions":[],"lastModifiedDate":"2013-03-16T20:19:01","indexId":"70044529","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A trans-dimensional Bayesian Markov chain Monte Carlo algorithm for model assessment using frequency-domain electromagnetic data","docAbstract":"A meaningful interpretation of geophysical measurements requires an assessment of the space of models that are consistent with the data, rather than just a single, ‘best’ model which does not convey information about parameter uncertainty. For this purpose, a trans-dimensional Bayesian Markov chain Monte Carlo (MCMC) algorithm is developed for assessing frequencydomain electromagnetic (FDEM) data acquired from airborne or ground-based systems. By sampling the distribution of models that are consistent with measured data and any prior knowledge, valuable inferences can be made about parameter values such as the likely depth to an interface, the distribution of possible resistivity values as a function of depth and non-unique relationships between parameters. The trans-dimensional aspect of the algorithm allows the number of layers to be a free parameter that is controlled by the data, where models with fewer layers are inherently favoured, which provides a natural measure of parsimony and a significant degree of flexibility in parametrization. The MCMC algorithm is used with synthetic examples to illustrate how the distribution of acceptable models is affected by the choice of prior information, the system geometry and configuration and the uncertainty in the measured system elevation. An airborne FDEM data set that was acquired for the purpose of hydrogeological characterization is also studied. The results compare favorably with traditional least-squares analysis, borehole resistivity and lithology logs from the site, and also provide new information about parameter uncertainty necessary for model assessment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2011.05165.x","usgsCitation":"Minsley, B.J., 2011, A trans-dimensional Bayesian Markov chain Monte Carlo algorithm for model assessment using frequency-domain electromagnetic data: Geophysical Journal International, v. 187, p. 252-272, https://doi.org/10.1111/j.1365-246X.2011.05165.x.","startPage":"252","endPage":"272","ipdsId":"IP-026128","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":269488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269486,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05165.x"},{"id":269487,"type":{"id":11,"text":"Document"},"url":"https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1524&context=usgsstaffpub"}],"country":"United States","volume":"187","noUsgsAuthors":false,"publicationDate":"2011-08-29","publicationStatus":"PW","scienceBaseUri":"51459461e4b0c47b5d322a7a","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":475828,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042249,"text":"sir201151206 - 2011 - Nearshore biological communities prior to the removal of the Elwha River dams: Chapter 6 in <i>Coastal habitats of the Elwha River, Washington--biological and physical patterns and processes prior to dam removal</i>","interactions":[],"lastModifiedDate":"2012-12-29T20:23:11","indexId":"sir201151206","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5120-6","title":"Nearshore biological communities prior to the removal of the Elwha River dams: Chapter 6 in <i>Coastal habitats of the Elwha River, Washington--biological and physical patterns and processes prior to dam removal</i>","docAbstract":"Increases in sediment delivery to coastal waters are expected following removal of dams on the Elwha River, Washington, potentially increasing sediment deposition on the seafloor and suspended sediment in the water column. Biological communities inhabiting shallow, subtidal depths\n(3–18 m) near the mouth of the Elwha River, between the west end of Freshwater Bay and the base of Ediz Hook, were surveyed in August and September 2008, to establish baselines prior to dam removal. Density was estimated for 9 kelp taxa, 65 taxa of invertebrates larger than 2.5 cm any dimension and 24 fish taxa. Density averaged over all sites was 3.1 per square meter (/m<sup>2</sup>) for kelp, 2.7/m<sup>2</sup> for invertebrates, and 0.1/m<sup>2</sup> for fish. Community structure was partly controlled by substrate type, seafloor relief, and depth. On average, 12 more taxa occurred where boulders were present compared to areas lacking boulders but with similar base substrate. Four habitat types were identified: (1) Bedrock/boulder reefs had the highest kelp density and taxa richness, and were characterized by a canopy of <i>Nereocystis leutkeana</i> (bull kelp) at the water surface and a secondary canopy of perennial kelp 1–2 m above the seafloor; (2) Mixed sand and gravel-cobble habitats with moderate relief provided by boulders had the highest density of invertebrates and a taxa richness nearly equivalent to that for bedrock/boulder reefs; (3) Mixed sand and gravel-cobble habitats lacking boulders supported a moderate density of kelp, primarily annual species with low growth forms (blades close to the seafloor), and the lowest invertebrate density among habitats; and (4) Sand habitats had the lowest kelp density and taxa richness among habitats and a moderate density of invertebrates. Uncertainties about nearshore community responses to increases in deposited and suspended sediments highlight the opportunity to advance scientific understanding by measuring responses following dam removal.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coastal habitats of the Elwha River, Washington--biological and physical patterns and processes prior to dam removal (SIR 2011-5120)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir201151206","collaboration":"This report is Chapter 6 in <i>Coastal habitats of the Elwha River, Washington--biological and physical patterns and processes prior to dam removal</i>.  For more information, see: <a href=\"http://pubs.usgs.gov/sir/2011/5120/\" target=\"_blank\">Scientific Investigations Report 2011-5120</a>","usgsCitation":"Rubin, S.P., Miller, I.M., Elder, N., Reisenbichler, R.R., and Duda, J., 2011, Nearshore biological communities prior to the removal of the Elwha River dams: Chapter 6 in <i>Coastal habitats of the Elwha River, Washington--biological and physical patterns and processes prior to dam removal</i>: U.S. Geological Survey Scientific Investigations Report 2011-5120-6, 44 p., https://doi.org/10.3133/sir201151206.","productDescription":"44 p.","startPage":"131","endPage":"174","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":264929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":264928,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5120/pdf/sir20115120_ch6.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5832,47.794 ], [ -123.5832,47.9652 ], [ -123.448,47.9652 ], [ -123.448,47.794 ], [ -123.5832,47.794 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e095e8e4b0fec3206ee7f5","contributors":{"editors":[{"text":"Duda, Jeffrey J.","contributorId":68854,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey J.","affiliations":[],"preferred":false,"id":509136,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":48255,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","affiliations":[],"preferred":false,"id":509135,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509134,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Rubin, Stephen P. 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":38037,"corporation":false,"usgs":true,"family":"Rubin","given":"Stephen","email":"","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":471098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elder, Nancy","contributorId":96982,"corporation":false,"usgs":true,"family":"Elder","given":"Nancy","affiliations":[],"preferred":false,"id":471101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reisenbichler, Reginald R.","contributorId":20623,"corporation":false,"usgs":true,"family":"Reisenbichler","given":"Reginald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duda, Jeffrey J.","contributorId":68854,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey J.","affiliations":[],"preferred":false,"id":471100,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041771,"text":"70041771 - 2011 - Using the 2011 <i>M<sub>w</sub></i>9.0 Tohoku earthquake to test the Coulomb stress triggering hypothesis and to calculate faults brought closer to failure","interactions":[],"lastModifiedDate":"2013-01-17T22:13:57","indexId":"70041771","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Using the 2011 <i>M<sub>w</sub></i>9.0 Tohoku earthquake to test the Coulomb stress triggering hypothesis and to calculate faults brought closer to failure","docAbstract":"The 11 March 2011 Tohoku Earthquake provides an unprecedented test of the extent to which Coulomb stress transfer governs the triggering of aftershocks. During 11-31 March, there were 177 aftershocks with focal mechanisms, and so the Coulomb stress change imparted by the rupture can be resolved on the aftershock nodal planes to learn whether they were brought closer to failure. Numerous source models for the mainshock have been inverted from seismic, geodetic, and tsunami observations. Here, we show that, among six tested source models, there is a mean 47% gain in positively-stressed aftershock mechanisms over that for the background (1997-10 March 2011) earthquakes, which serve as the control group. An aftershock fault friction of 0.4 is found to fit the data better than 0.0 or 0.8, and among all the tested models, Wei and Sladen (2011) produced the largest gain, 63%. We also calculate that at least 5 of the seven large, exotic, or remote aftershocks were brought ≥0.3 bars closer to failure. With these tests as confirmation, we calculate that large sections of the Japan trench megathrust, the outer trench slope normal faults, the Kanto fragment beneath Tokyo, and the Itoigawa-Shizuoka Tectonic Line, were also brought ≥0.3 bars closer to failure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth, Planets and Space","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Terrapub","publisherLocation":"Tokyo, Japan","doi":"10.5047/eps.2011.05.010","usgsCitation":"Toda, S., Lin, J., and Stein, R.S., 2011, Using the 2011 <i>M<sub>w</sub></i>9.0 Tohoku earthquake to test the Coulomb stress triggering hypothesis and to calculate faults brought closer to failure: Earth, Planets and Space, v. 63, no. 7, p. 725-730, https://doi.org/10.5047/eps.2011.05.010.","productDescription":"6 p.","startPage":"725","endPage":"730","ipdsId":"IP-029247","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5047/eps.2011.05.010","text":"Publisher Index Page"},{"id":264028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264027,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5047/eps.2011.05.010"}],"country":"Japan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 122.9,24.0 ], [ 122.9,45.5 ], [ 154.0,45.5 ], [ 154.0,24.0 ], [ 122.9,24.0 ] ] ] } } ] }","volume":"63","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-09-27","publicationStatus":"PW","scienceBaseUri":"50cb583de4b09e092d6f0436","contributors":{"authors":[{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":470199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Jian","contributorId":16930,"corporation":false,"usgs":true,"family":"Lin","given":"Jian","email":"","affiliations":[],"preferred":false,"id":470198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":470197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}