No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Yellowstone’s wildlife in transition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Harvard University Press","publisherLocation":"Cambridge, MA","isbn":"9780674073180","usgsCitation":"Schwartz, C.C., Haroldson, M.A., Gunther, K.A., and Robbins, C.T., 2013, Omnivory and the terrestrial food web: Yellowstone grizzly beard diets, chap. 7 of Yellowstone’s wildlife in transition, p. 109-124.","productDescription":"16 p.","startPage":"109","endPage":"124","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029834","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":319910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319909,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.hup.harvard.edu/catalog.php?isbn=9780674073180&content=toc"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.9619140625,\n 45.205263456162385\n ],\n [\n -110.85205078124999,\n 45.24008561090264\n ],\n [\n -110.7861328125,\n 45.251688256117646\n ],\n [\n -110.67626953125,\n 45.251688256117646\n ],\n [\n -110.5938720703125,\n 45.24395342262324\n ],\n [\n -110.4290771484375,\n 45.182036837015886\n ],\n [\n -110.2972412109375,\n 45.1433047394883\n ],\n [\n -109.4732666015625,\n 45.154927133618465\n ],\n [\n -109.3414306640625,\n 45.18978009667531\n ],\n [\n -109.18212890625,\n 45.20913363773731\n ],\n [\n -109.149169921875,\n 45.166547157856016\n ],\n [\n -109.149169921875,\n 45.06964120886863\n ],\n [\n -109.2315673828125,\n 44.84029065139799\n ],\n [\n -109.2205810546875,\n 44.695992981720714\n ],\n [\n -109.1656494140625,\n 44.59046718130883\n ],\n [\n -109.06677246093749,\n 44.53175879707938\n ],\n [\n -109.072265625,\n 44.469071224701096\n ],\n [\n -109.2205810546875,\n 44.422011314236634\n ],\n [\n -109.34692382812499,\n 44.378839759088585\n ],\n [\n -109.3963623046875,\n 44.34349388385857\n ],\n [\n -109.4073486328125,\n 44.296332880058706\n ],\n [\n -109.3359375,\n 44.3002644115815\n ],\n [\n -109.21508789062499,\n 44.34742225636393\n ],\n [\n -109.127197265625,\n 44.327777761284445\n ],\n [\n -109.09423828125,\n 44.284536706018905\n ],\n [\n -109.1436767578125,\n 44.19402066387343\n ],\n [\n -109.2425537109375,\n 44.142797828180605\n ],\n [\n -109.21508789062499,\n 44.08363928284644\n ],\n [\n -109.1546630859375,\n 44.06390660801779\n ],\n [\n -109.039306640625,\n 44.036269809534616\n ],\n [\n -109.017333984375,\n 43.957236472025635\n ],\n [\n -108.9898681640625,\n 43.810747313446996\n ],\n [\n -109.01184082031249,\n 43.6599240747891\n ],\n [\n -109.017333984375,\n 43.61619382369188\n ],\n [\n -111.3134765625,\n 43.620170616189924\n ],\n [\n -111.29150390625,\n 44.836395454104796\n ],\n [\n -111.3519287109375,\n 44.85586880735725\n ],\n [\n -111.4892578125,\n 44.883120442385646\n ],\n [\n -111.5167236328125,\n 45.00365115687189\n ],\n [\n -111.51123046875,\n 45.178164812206376\n ],\n [\n -111.566162109375,\n 45.259422036351694\n ],\n [\n -111.5277099609375,\n 45.36758436884978\n ],\n [\n -111.434326171875,\n 45.390735154248894\n ],\n [\n -111.2640380859375,\n 45.413876460821086\n ],\n [\n -111.13220214843749,\n 45.4524242413431\n ],\n [\n -111.060791015625,\n 45.43700828867389\n ],\n [\n -111.005859375,\n 45.390735154248894\n ],\n [\n -111.00036621093749,\n 45.31352900692261\n ],\n [\n -110.950927734375,\n 45.259422036351694\n ],\n [\n -110.9619140625,\n 45.205263456162385\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57248678e4b0b13d39159682","contributors":{"authors":[{"text":"Schwartz, Charles C.","contributorId":124574,"corporation":false,"usgs":false,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":626281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gunther, Kerry A.","contributorId":190246,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5130,"text":"Bear Management Office, Yellowstone National Park, WY 82190, USA","active":true,"usgs":false}],"preferred":false,"id":625927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":625926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047307,"text":"70047307 - 2013 - Nature's Notebook 2012: State of the data","interactions":[],"lastModifiedDate":"2016-05-17T13:47:38","indexId":"70047307","displayToPublicDate":"2013-04-01T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":95,"text":"USA-NPN Technical Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2013-001","title":"Nature's Notebook 2012: State of the data","docAbstract":"In 2012, 2,045 observers contributed 1,592 sites to the NPDb, encompassing all 50 states, the U.S. Virgin Islands, and Puerto Rico. At the close of 2012 the NPDb contained a total of over 1.6 million phenophase status records. More than half of these records were submitted in 2012. Observers submitted records on 547 species in 2012, including 371 plant species (comprised of 5,584 individual plants) and 176 animal species. Red maple (Acer rubrum) and American Robin (Turdus migratorius) were the most observed plant and animal species in 2012. Plant phenophases related to fruiting and flowering had the most records in 2012 and in all years combined, whereas animal phenophases related to feeding had the most records.
","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Kellermann, J., Crimmins, T., Denny, E., Enquist, C., Gerst, K., Rosemartin, A., and Weltzin, J., 2013, Nature's Notebook 2012: State of the data: USA-NPN Technical Series 2013-001, 6 p.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-046270","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":286003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321336,"type":{"id":15,"text":"Index Page"},"url":"https://www.usanpn.org/pubs/reports#USA-NPN_Technical_Series"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535594b9e4b0120853e8c0a1","contributors":{"authors":[{"text":"Kellermann, Jherime","contributorId":20651,"corporation":false,"usgs":true,"family":"Kellermann","given":"Jherime","affiliations":[],"preferred":false,"id":481679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, T.M.","contributorId":93823,"corporation":false,"usgs":true,"family":"Crimmins","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":481683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, E.G.","contributorId":13544,"corporation":false,"usgs":true,"family":"Denny","given":"E.G.","email":"","affiliations":[],"preferred":false,"id":481677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enquist, C.A.F.","contributorId":38895,"corporation":false,"usgs":true,"family":"Enquist","given":"C.A.F.","email":"","affiliations":[],"preferred":false,"id":481680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerst, K.L.","contributorId":42521,"corporation":false,"usgs":true,"family":"Gerst","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":481681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosemartin, A.H.","contributorId":17138,"corporation":false,"usgs":true,"family":"Rosemartin","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":481678,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":481682,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193248,"text":"70193248 - 2013 - Comment on “Apatite 4He/3He and (U-Th)/He Evidence for an Ancient Grand Canyon”","interactions":[],"lastModifiedDate":"2017-11-06T14:25:59","indexId":"70193248","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comment on “Apatite 4He/3He and (U-Th)/He Evidence for an Ancient Grand Canyon”","title":"Comment on “Apatite 4He/3He and (U-Th)/He Evidence for an Ancient Grand Canyon”","docAbstract":"Flowers and Farley (Reports, 21 December 2012, p. 1616; published online 29 November 2012) propose that the Grand Canyon is 70 million years old. Starkly contrasting models for the age of the Grand Canyon—70 versus 6 million years—can be reconciled by a shallow paleocanyon that was carved in the eastern Grand Canyon 25 to 15 million years ago (Ma), negating the proposed 70 Ma and 55 Ma paleocanyons. Cooling models and geologic data are most consistent with a 5 to 6 Ma age for western Grand Canyon and Marble Canyon.
","language":"English","publisher":"Science","doi":"10.1126/science.1233982","usgsCitation":"Karlstrom, K.E., Lee, J.P., Kelley, S.A., Crow, R.S., Young, R.A., Lucchitta, I., Beard, L.S., Dorsey, R., Ricketts, J., Dickinson, W.R., and Crossey, L., 2013, Comment on “Apatite 4He/3He and (U-Th)/He Evidence for an Ancient Grand Canyon”: Science, v. 340, no. 6129, p. 143-143, https://doi.org/10.1126/science.1233982.","productDescription":"Article 143; 3 p.","startPage":"143","endPage":"143","ipdsId":"IP-044130","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":348295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"340","issue":"6129","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ef2ce4b09af898c8cd81","contributors":{"authors":[{"text":"Karlstrom, Karl E.","contributorId":75597,"corporation":false,"usgs":true,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, John P. jplee@usgs.gov","contributorId":3291,"corporation":false,"usgs":true,"family":"Lee","given":"John","email":"jplee@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":718362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Shari A.","contributorId":25606,"corporation":false,"usgs":true,"family":"Kelley","given":"Shari","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":720736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Richard A.","contributorId":38975,"corporation":false,"usgs":true,"family":"Young","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucchitta, Ivo","contributorId":94291,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Ivo","email":"","affiliations":[],"preferred":false,"id":720738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beard, L. Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":152,"corporation":false,"usgs":true,"family":"Beard","given":"L.","email":"sbeard@usgs.gov","middleInitial":"Sue","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720739,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dorsey, Rebecca","contributorId":140302,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":720740,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ricketts, Jason","contributorId":60362,"corporation":false,"usgs":true,"family":"Ricketts","given":"Jason","email":"","affiliations":[],"preferred":false,"id":720741,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dickinson, William R.","contributorId":75064,"corporation":false,"usgs":true,"family":"Dickinson","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":720742,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crossey, Laura","contributorId":24485,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","affiliations":[],"preferred":false,"id":720743,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193428,"text":"70193428 - 2013 - Testing common assumptions in studies of songbird nest success","interactions":[],"lastModifiedDate":"2018-03-06T15:58:26","indexId":"70193428","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Testing common assumptions in studies of songbird nest success","docAbstract":"We studied Ovenbird Seiurus aurocapilla and Golden-winged Warbler Vermivora chrysopterapopulations in northern Minnesota, USA, to test two common assumptions in studies of songbird nest success: (1) that the condition of an empty nest on or near its expected fledge date is an indicator of nest fate; and (2) that the presence of a fledgling or family group within a territory confirms a successful nest in that territory. We monitored the condition of nests and used radiotelemetry to monitor juveniles through the expected fledging date and early post-fledging period. Of nests that contained nestlings 1–2 days before the expected fledge date, fates were misidentified using nest condition alone for 9.5% of Ovenbird nests, but those misidentifications were made in both directions (succeeded or failed), yielding only a small bias in estimated nest success. However, 20% of Golden-winged Warbler nests were misidentified as successful using nest condition during the final visit interval, biasing the nest success estimate upward by 21–28% depending on the treatment of uncertain nest fates. Fledgling Ovenbirds from 58% of nests travelled beyond their natal territory within 24 h, rising to 98% after 5 days, and those fledglings travelled up to 390 m from nests within 10 days of fledging. Fledgling Golden-winged Warblers from 13% of nests travelled beyond their natal territory within 24 h, rising to 85% after 5 days, and those fledglings travelled up to 510 m from nests within 10 days of fledging. We conclude that nest condition and fledgling presence can be misleading indicators of nest fate, probably commonly biasing nest success estimates upward, and we recommend that these assumptions should be tested in additional species.
","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12018","usgsCitation":"Streby, H.M., and Andersen, D.E., 2013, Testing common assumptions in studies of songbird nest success: Ibis, v. 155, no. 2, p. 327-337, https://doi.org/10.1111/ibi.12018.","productDescription":"11 p.","startPage":"327","endPage":"337","ipdsId":"IP-026541","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12018","text":"Publisher Index Page"},{"id":348851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Chippewa National Forest, Tamarac National Wildlife Refuge","volume":"155","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-13","publicationStatus":"PW","scienceBaseUri":"5a6102f2e4b06e28e9c254a1","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":722069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178655,"text":"70178655 - 2013 - Development and application of a soil organic matter-based soil quality index in mineralized terrane of the Western US","interactions":[],"lastModifiedDate":"2017-11-21T15:03:23","indexId":"70178655","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of a soil organic matter-based soil quality index in mineralized terrane of the Western US","docAbstract":"Soil quality indices provide a means of distilling large amounts of data into a single metric that evaluates the soil’s ability to carry out key ecosystem functions. Primarily developed in agroecosytems, then forested ecosystems, an index using the relation between soil organic matter and other key soil properties in more semi-arid systems of the Western US impacted by different geologic mineralization was developed. Three different sites in two different mineralization types, acid sulfate and Cu/Mo porphyry in California and Nevada, were studied. Soil samples were collected from undisturbed soils in both mineralized and nearby unmineralized terrane as well as waste rock and tailings. Eight different microbial parameters (carbon substrate utilization, microbial biomass-C, mineralized-C, mineralized-N and enzyme activities of acid phosphatase, alkaline phosphatase, arylsulfatase, and fluorescein diacetate) along with a number of physicochemical parameters were measured. Multiple linear regression models between these parameters and both total organic carbon and total nitrogen were developed, using the ratio of predicted to measured values as the soil quality index. In most instances, pooling unmineralized and mineralized soil data within a given study site resulted in lower model correlations. Enzyme activity was a consistent explanatory variable in the models across the study sites. Though similar indicators were significant in models across different mineralization types, pooling data across sites inhibited model differentiation of undisturbed and disturbed sites. This procedure could be used to monitor recovery of disturbed systems in mineralized terrane and help link scientific and management disciplines.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-012-1876-8","usgsCitation":"Blecker, S., Stillings, L., Amacher, M., Ippolito, J., and DeCrappeo, N., 2013, Development and application of a soil organic matter-based soil quality index in mineralized terrane of the Western US: Environmental Earth Sciences, v. 68, no. 7, p. 1887-1901, https://doi.org/10.1007/s12665-012-1876-8.","productDescription":"15 p.","startPage":"1887","endPage":"1901","ipdsId":"IP-026505","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473894,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.nwisrl.ars.usda.gov/id/eprint/1489/1/1453.pdf","text":"External Repository"},{"id":331460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-12","publicationStatus":"PW","scienceBaseUri":"58468aebe4b04fc80e5236cd","contributors":{"authors":[{"text":"Blecker, S.W.","contributorId":99671,"corporation":false,"usgs":true,"family":"Blecker","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":654730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":654726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amacher, M.C.","contributorId":74043,"corporation":false,"usgs":true,"family":"Amacher","given":"M.C.","affiliations":[],"preferred":false,"id":654728,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ippolito, J.A.","contributorId":54890,"corporation":false,"usgs":true,"family":"Ippolito","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":654727,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DeCrappeo, N.M.","contributorId":86269,"corporation":false,"usgs":true,"family":"DeCrappeo","given":"N.M.","affiliations":[],"preferred":false,"id":654729,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70181794,"text":"70181794 - 2013 - How do migratory species add ecosystem service value to wilderness? Calculating the spatial subsidies provided by protected areas","interactions":[],"lastModifiedDate":"2017-02-14T12:46:52","indexId":"70181794","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2082,"text":"International Journal of Wilderness","active":true,"publicationSubtype":{"id":10}},"title":"How do migratory species add ecosystem service value to wilderness? Calculating the spatial subsidies provided by protected areas","docAbstract":"Species that migrate through protected and wilderness areas and utilize their resources, deliver ecosystem services to people in faraway locations. The mismatch between the areas that most support a species and those areas where the species provides most benefits to society can lead to underestimation of the true value of protected areas such as wilderness. We present a method to communicate the “off-site” value of wilderness and protected areas in providing habitat to migratory species that, in turn, provide benefits to people in distant locations. Using northern pintail ducks (Anas acuta) as an example, the article provides a method to estimate the amount of subsidy – the value of the ecosystem services provided by a migratory species in one area versus the cost to support the species and its habitat elsewhere.
","language":"English","publisher":"Fulcrum Publishing","usgsCitation":"Lopez-Hoffman, L., Semmens, D.J., and Diffendorfer, J., 2013, How do migratory species add ecosystem service value to wilderness? Calculating the spatial subsidies provided by protected areas: International Journal of Wilderness, v. 19, no. 1, p. 14-19.","productDescription":"6 p.","startPage":"14","endPage":"19","ipdsId":"IP-036434","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":335343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a42535e4b0c825128ad438","contributors":{"authors":[{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":668590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":668588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, Jay 0000-0003-1093-6948","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":11930,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":668589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154859,"text":"70154859 - 2013 - Potential for bias in using hybrids between common carp (Cyprinus carpio) and goldfish (Carassius auratus) in endocrine studies: a first report of hybrids in Lake Mead, Nevada, U.S.A","interactions":[],"lastModifiedDate":"2015-08-18T09:37:47","indexId":"70154859","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Potential for bias in using hybrids between common carp (Cyprinus carpio) and goldfish (Carassius auratus) in endocrine studies: a first report of hybrids in Lake Mead, Nevada, U.S.A","docAbstract":"During a 2008 study to assess endocrine and reproductive health of common carp (Cyprinus carpio) in Lake Mead, Nevada (U.S.A.) we identified two fish, one male and one female, as hybrids with goldfish (Carassius auratus) based on morphology, lateral line scale count, and lack of anterior barbels. Gross examination of the female hybrid ovaries indicated presence of vitellogenic ovarian follicles; whereas histological evaluation of the male hybrid testes showed lobule-like structures with open lumens but without germ cells, suggesting it was sterile. Because common carp/goldfish hybrids are more susceptible to gonadal tumors and may have different endocrine profiles than common carp, researchers using common carp as a model for endocrine/reproductive studies should be aware of the possible presence of hybrids.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-169.2.426","usgsCitation":"Goodbred, S.L., Patino, R., Orsak, E., Sharma, P., and Ruessler, S., 2013, Potential for bias in using hybrids between common carp (Cyprinus carpio) and goldfish (Carassius auratus) in endocrine studies: a first report of hybrids in Lake Mead, Nevada, U.S.A: American Midland Naturalist, v. 169, no. 2, p. 426-431, https://doi.org/10.1674/0003-0031-169.2.426.","productDescription":"6 p.","startPage":"426","endPage":"431","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025582","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.78790283203125,\n 36.01800375871414\n ],\n [\n -114.83871459960938,\n 36.0568708408471\n ],\n [\n -114.83047485351561,\n 36.086840909511004\n ],\n [\n -114.87854003906249,\n 36.109033596783135\n ],\n [\n -114.93896484374999,\n 36.10015727402227\n ],\n [\n -114.93621826171875,\n 36.12234620030521\n ],\n [\n -114.85382080078125,\n 36.144528857027744\n ],\n [\n -114.73846435546874,\n 36.147855714690515\n ],\n [\n -114.7137451171875,\n 36.16005298551354\n ],\n [\n -114.67529296874999,\n 36.15118243124801\n ],\n [\n -114.62310791015625,\n 36.15894422111003\n ],\n [\n -114.60800170898438,\n 36.15229130540955\n ],\n [\n -114.56405639648438,\n 36.17003115949951\n ],\n [\n -114.49951171875,\n 36.184441834883025\n ],\n [\n -114.466552734375,\n 36.17557404062257\n ],\n [\n -114.45693969726562,\n 36.201066243425515\n ],\n [\n -114.42947387695312,\n 36.268635800737854\n ],\n [\n -114.44183349609375,\n 36.30073854794736\n ],\n [\n -114.45419311523436,\n 36.342784223707234\n ],\n [\n -114.42398071289062,\n 36.38149043210595\n ],\n [\n -114.37042236328125,\n 36.44227556709968\n ],\n [\n -114.43084716796874,\n 36.50963615733049\n ],\n [\n -114.41299438476562,\n 36.52177691707085\n ],\n [\n -114.36767578124999,\n 36.50301312197295\n ],\n [\n -114.345703125,\n 36.52067329034796\n ],\n [\n -114.31686401367188,\n 36.49970139181239\n ],\n [\n -114.32373046875,\n 36.45442688547802\n ],\n [\n -114.3072509765625,\n 36.41907231092499\n ],\n [\n -114.32235717773438,\n 36.38701831877111\n ],\n [\n -114.34982299804688,\n 36.33504067209607\n ],\n [\n -114.36492919921875,\n 36.274171699242515\n ],\n [\n -114.37454223632812,\n 36.20993115142727\n ],\n [\n -114.3621826171875,\n 36.166705242637356\n ],\n [\n -114.27703857421875,\n 36.10237644873644\n ],\n [\n -114.23309326171875,\n 36.053540128339755\n ],\n [\n -114.21661376953125,\n 36.030221194310705\n ],\n [\n -114.16168212890625,\n 36.045767917668705\n ],\n [\n -114.15756225585936,\n 36.10570509327921\n ],\n [\n -114.11361694335938,\n 36.16448788632064\n ],\n [\n -114.07241821289061,\n 36.194416903538226\n ],\n [\n -114.04220581054688,\n 36.21547120903648\n ],\n [\n -114.05181884765625,\n 36.16559657231973\n ],\n [\n -114.07516479492188,\n 36.1245647481333\n ],\n [\n -114.093017578125,\n 36.05465038150427\n ],\n [\n -114.12734985351562,\n 36.010228040656735\n ],\n [\n -114.17678833007812,\n 36.00911716117325\n ],\n [\n -114.25918579101561,\n 35.9968964537381\n ],\n [\n -114.31961059570312,\n 36.02133597448135\n ],\n [\n -114.35943603515625,\n 36.04687828046171\n ],\n [\n -114.36080932617186,\n 36.089060460282006\n ],\n [\n -114.39239501953125,\n 36.097938036628065\n ],\n [\n -114.41848754882812,\n 36.06686213257888\n ],\n [\n -114.47067260742188,\n 36.03577394783581\n ],\n [\n -114.48989868164062,\n 36.071302299422406\n ],\n [\n -114.51324462890625,\n 36.08795069273044\n ],\n [\n -114.54483032226562,\n 36.12789245231785\n ],\n [\n -114.57504272460938,\n 36.13565654678543\n ],\n [\n -114.62722778320311,\n 36.117908916563685\n ],\n [\n -114.66842651367188,\n 36.097938036628065\n ],\n [\n -114.70138549804688,\n 36.075742215627\n ],\n [\n -114.70138549804688,\n 36.04687828046171\n ],\n [\n -114.71099853515625,\n 36.01467140204727\n ],\n [\n -114.74395751953125,\n 35.991340960635405\n ],\n [\n -114.76867675781249,\n 36.002451555546465\n ],\n [\n -114.78790283203125,\n 36.01800375871414\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"169","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45733e4b0518e354694de","contributors":{"authors":[{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":568379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":568380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharma, Prakash","contributorId":107435,"corporation":false,"usgs":true,"family":"Sharma","given":"Prakash","email":"","affiliations":[],"preferred":false,"id":568381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruessler, Shane druessler@usgs.gov","contributorId":4660,"corporation":false,"usgs":true,"family":"Ruessler","given":"Shane","email":"druessler@usgs.gov","affiliations":[],"preferred":true,"id":568382,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169313,"text":"70169313 - 2013 - Influences of riparian vegetation on trout stream temperatures in central Wisconsin","interactions":[],"lastModifiedDate":"2016-06-01T11:51:19","indexId":"70169313","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Influences of riparian vegetation on trout stream temperatures in central Wisconsin","docAbstract":"Summer stream temperatures limit the distribution of Brook Trout Salvelinus fontinalis and are affected by riparian vegetation. We used riparian and instream habitat surveys along with stream temperature loggers placed throughout streams to determine the potential for riparian vegetation shading to increase the length of stream that is thermally suitable for Brook Trout. Twelve streams located throughout central Wisconsin were evaluated in the summers of 2007 and 2008. Across all streams, nonparametric ANCOVA modeling was used to identify spatial temperature patterns within a year for individual stream segments. Riparian tree-vegetated segments had a significantly lower mean change in stream temperature per kilometer of stream compared with grass-vegetated segments during the periods of maximum daily and weekly average temperatures, when we accounted for upstream temperature. Riparian grass-vegetated segments increased on average 1.19°C/km (SE, 0.44) during the maximum daily average temperature period and 0.93°C/km (SE, 0.39) during the maximum weekly average temperature period, whereas tree-vegetated segments decreased 0.48°C/km (SE, 0.39) and 0.30°C/km (SE, 0.25) during those respective time periods. Maximum weekly average temperatures were also modeled with different shading levels using a heat budget temperature model, U.S. Fish and Wildlife Service's Stream Segment Temperature Model. Across 11 study streams (one stream model could not be calibrated), modeled stream temperatures in equilibrium with their environmental conditions ranging from 23.2°C to 28.3°C at 0% shading could be reduced to 18.8–23.5°C with 75% shading. Modeled increases in shade up to 75% from the current average of 34% increased the length of surveyed stream thermally suitable to Brook Trout by 4.9 km on Sucker Creek. We conclude that riparian forests are important for maintaining thermal conditions suitable for Brook Trout in central Wisconsin streams and can be managed to increase the amount of stream habitat thermally suitable for Brook Trout.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.785989","usgsCitation":"Cross, B.K., Bozek, M.A., and Mitro, M.G., 2013, Influences of riparian vegetation on trout stream temperatures in central Wisconsin: North American Journal of Fisheries Management, v. 33, no. 4, p. 682-692, https://doi.org/10.1080/02755947.2013.785989.","productDescription":"11 p.","startPage":"682","endPage":"692","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035142","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.8564453125,\n 43.35713822211053\n ],\n [\n -92.8564453125,\n 45.98169518512228\n ],\n [\n -88.08837890625,\n 45.98169518512228\n ],\n [\n -88.08837890625,\n 43.35713822211053\n ],\n [\n -92.8564453125,\n 43.35713822211053\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"56f50fcae4b0f59b85e1eb6b","contributors":{"authors":[{"text":"Cross, Benjamin K.","contributorId":167783,"corporation":false,"usgs":false,"family":"Cross","given":"Benjamin","email":"","middleInitial":"K.","affiliations":[{"id":24832,"text":"Washngton State University, Pullman, WA","active":true,"usgs":false}],"preferred":false,"id":623505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitro, Matthew G.","contributorId":167784,"corporation":false,"usgs":false,"family":"Mitro","given":"Matthew","email":"","middleInitial":"G.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":623506,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046044,"text":"70046044 - 2013 - Sequential Gaussian co-simulation of rate decline parameters of longwall gob gas ventholes","interactions":[],"lastModifiedDate":"2013-06-17T14:34:09","indexId":"70046044","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2070,"text":"International Journal of Rock Mechanics and Mining Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sequential Gaussian co-simulation of rate decline parameters of longwall gob gas ventholes","docAbstract":"Gob gas ventholes (GGVs) are used to control methane inflows into a longwall mining operation by capturing the gas within the overlying fractured strata before it enters the work environment. Using geostatistical co-simulation techniques, this paper maps the parameters of their rate decline behaviors across the study area, a longwall mine in the Northern Appalachian basin. Geostatistical gas-in-place (GIP) simulations were performed, using data from 64 exploration boreholes, and GIP data were mapped within the fractured zone of the study area. In addition, methane flowrates monitored from 10 GGVs were analyzed using decline curve analyses (DCA) techniques to determine parameters of decline rates. Surface elevation showed the most influence on methane production from GGVs and thus was used to investigate its relation with DCA parameters using correlation techniques on normal-scored data. Geostatistical analysis was pursued using sequential Gaussian co-simulation with surface elevation as the secondary variable and with DCA parameters as the primary variables. The primary DCA variables were effective percentage decline rate, rate at production start, rate at the beginning of forecast period, and production end duration. Co-simulation results were presented to visualize decline parameters at an area-wide scale. Wells located at lower elevations, i.e., at the bottom of valleys, tend to perform better in terms of their rate declines compared to those at higher elevations. These results were used to calculate drainage radii of GGVs using GIP realizations. The calculated drainage radii are close to ones predicted by pressure transient tests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Rock Mechanics and Mining Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ijrmms.2012.11.003","usgsCitation":"Karacan, C., and Olea, R., 2013, Sequential Gaussian co-simulation of rate decline parameters of longwall gob gas ventholes: International Journal of Rock Mechanics and Mining Sciences, v. 59, p. 1-14, https://doi.org/10.1016/j.ijrmms.2012.11.003.","productDescription":"15 p.","startPage":"1","endPage":"14","ipdsId":"IP-034214","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473896,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":273845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ijrmms.2012.11.003"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.52,39.72 ], [ -80.52,42.27 ], [ -74.69,42.27 ], [ -74.69,39.72 ], [ -80.52,39.72 ] ] ] } } ] }","volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff5e4b0ee1529ed3d4d","contributors":{"authors":[{"text":"Karacan, C. Özgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":96571,"corporation":false,"usgs":true,"family":"Karacan","given":"C. Özgen","affiliations":[],"preferred":false,"id":478752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":478751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043807,"text":"70043807 - 2013 - extrap: Software to assist the selection of extrapolation methods for moving-boat ADCP streamflow measurements","interactions":[],"lastModifiedDate":"2018-02-08T09:37:54","indexId":"70043807","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"extrap: Software to assist the selection of extrapolation methods for moving-boat ADCP streamflow measurements","docAbstract":"Selection of the appropriate extrapolation methods for computing the discharge in the unmeasured top and bottom parts of a moving-boat acoustic Doppler current profiler (ADCP) streamflow measurement is critical to the total discharge computation. The software tool, extrap, combines normalized velocity\nprofiles from the entire cross section and multiple transects to determine a mean profile for the measurement. The use of an exponent derived from normalized data from the entire cross section is shown to be valid for application of the power velocity distribution law in the computation of the unmeasured discharge in a cross section. Selected statistics are combined with empirically derived criteria to automatically select the appropriate extrapolation methods. A graphical user interface (GUI) provides the user tools to visually evaluate the automatically selected extrapolation methods and manually change them, as necessary. The sensitivity of the total discharge to available extrapolation methods is presented in the GUI. Use of extrap by field hydrographers has demonstrated that extrap is a more accurate and efficient method of determining the appropriate extrapolation methods compared with tools currently (2012) provided in the ADCP manufacturers’ software.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.cageo.2013.02.001","usgsCitation":"Mueller, D.S., 2013, extrap: Software to assist the selection of extrapolation methods for moving-boat ADCP streamflow measurements: Computers & Geosciences, v. 54, p. 211-218, https://doi.org/10.1016/j.cageo.2013.02.001.","productDescription":"8 p.","startPage":"211","endPage":"218","numberOfPages":"8","ipdsId":"IP-043372","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":270443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270442,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2013.02.001"}],"volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdffe4b075500ee5cab0","contributors":{"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":474258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045174,"text":"ofr20131031 - 2013 - Effects of equipment performance on data quality from the National Atmospheric Deposition Program/National Trends Network and the Mercury Deposition Network","interactions":[],"lastModifiedDate":"2013-04-01T12:49:10","indexId":"ofr20131031","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1031","title":"Effects of equipment performance on data quality from the National Atmospheric Deposition Program/National Trends Network and the Mercury Deposition Network","docAbstract":"The U.S. Geological Survey Branch of Quality Systems operates the Precipitation Chemistry Quality Assurance project (PCQA) to provide independent, external quality-assurance for the National Atmospheric Deposition Program (NADP). NADP is composed of five monitoring networks that measure the chemical composition of precipitation and ambient air. PCQA and the NADP Program Office completed five short-term studies to investigate the effects of equipment performance with respect to the National Trends Network (NTN) and Mercury Deposition Network (MDN) data quality: sample evaporation from NTN collectors; sample volume and mercury loss from MDN collectors; mercury adsorption to MDN collector glassware, grid-type precipitation sensors for precipitation collectors, and the effects of an NTN collector wind shield on sample catch efficiency. Sample-volume evaporation from an NTN Aerochem Metrics (ACM) collector ranged between 1.1–33 percent with a median of 4.7 percent. The results suggest that weekly NTN sample evaporation is small relative to sample volume. MDN sample evaporation occurs predominantly in western and southern regions of the United States (U.S.) and more frequently with modified ACM collectors than with N-CON Systems Inc. collectors due to differences in airflow through the collectors. Variations in mercury concentrations, measured to be as high as 47.5 percent per week with a median of 5 percent, are associated with MDN sample-volume loss. Small amounts of mercury are also lost from MDN samples by adsorption to collector glassware irrespective of collector type. MDN 11-grid sensors were found to open collectors sooner, keep them open longer, and cause fewer lid cycles than NTN 7-grid sensors. Wind shielding an NTN ACM collector resulted in collection of larger quantities of precipitation while also preserving sample integrity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131031","usgsCitation":"Wetherbee, G.A., and Rhodes, M.F., 2013, Effects of equipment performance on data quality from the National Atmospheric Deposition Program/National Trends Network and the Mercury Deposition Network: U.S. Geological Survey Open-File Report 2013-1031, ix, 53 p., https://doi.org/10.3133/ofr20131031.","productDescription":"ix, 53 p.","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":270417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131031.gif"},{"id":270415,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1031/"},{"id":270416,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1031/OF13-1031.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515a9e5ee4b0105540728a1e","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":476988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhodes, Mark F.","contributorId":17360,"corporation":false,"usgs":true,"family":"Rhodes","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":476989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045175,"text":"ofr20131074 - 2013 - Change in the length of the northern section of the Chandeleur Islands oil berm, September 5, 2010, through September 3, 2012","interactions":[],"lastModifiedDate":"2013-04-01T13:38:52","indexId":"ofr20131074","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1074","title":"Change in the length of the northern section of the Chandeleur Islands oil berm, September 5, 2010, through September 3, 2012","docAbstract":"On April 20, 2010, an explosion on the Deepwater Horizon oil rig drilling at the Macondo Prospect site in the Gulf of Mexico resulted in a marine oil spill that continued to flow through July 15, 2010. One of the affected areas was the Breton National Wildlife Refuge, which consists of a chain of low-lying islands, including Breton Island and the Chandeleur Islands, and their surrounding waters. The island chain is located approximately 115–150 kilometers north-northwest of the spill site. A sand berm was constructed seaward of, and on, the island chain. Construction began at the northern end of the Chandeleur Islands in June 2010 and ended in April 2011. The berm consisted of three distinct sections based on where the berm was placed relative to the islands. The northern section of the berm was built in open water on a submerged portion of the Chandeleur Islands platform. The middle section was built approximately 70–90 meters seaward of the Chandeleur Islands. The southern section was built on the islands’ beaches. Repeated Landsat and SPOT satellite imagery and airborne lidar were used to observe the disintegration of the berm over time. The methods used to analyze the remotely sensed data and the resulting, derived data for the northern section are described in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131074","usgsCitation":"Plant, N., and Guy, K.K., 2013, Change in the length of the northern section of the Chandeleur Islands oil berm, September 5, 2010, through September 3, 2012: U.S. Geological Survey Open-File Report 2013-1074, iii, 9 p., https://doi.org/10.3133/ofr20131074.","productDescription":"iii, 9 p.","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-09-05","temporalEnd":"2012-09-03","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":270421,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1074/pdf/ofr2013-1074.pdf"},{"id":270422,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1074/"},{"id":270423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131074.gif"}],"country":"United States","state":"Alabama;Louisiana;Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.560547,29.084977 ], [ -89.560547,30.47945 ], [ -88.041687,30.47945 ], [ -88.041687,29.084977 ], [ -89.560547,29.084977 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515a9e5de4b0105540728a1a","contributors":{"authors":[{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":476991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, K. K.","contributorId":24393,"corporation":false,"usgs":true,"family":"Guy","given":"K.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044660,"text":"70044660 - 2013 - Source mechanisms of persistent shallow earthquakes during eruptive and non-eruptive periods between 1981 and 2011 at Mount St. Helens, Washington","interactions":[],"lastModifiedDate":"2013-06-18T14:40:53","indexId":"70044660","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Source mechanisms of persistent shallow earthquakes during eruptive and non-eruptive periods between 1981 and 2011 at Mount St. Helens, Washington","docAbstract":"Shallow seismicity between 0 and 3-km depth has persisted at Mount St. Helens, Washington (MSH) during both eruptive and non-eruptive periods for at least the past thirty years. In this study we investigate the source mechanisms of shallow volcano-tectonic (VT) earthquakes at MSH by calculating high-quality hypocenter locations and fault plane solutions (FPS) for all VT events recorded during two eruptive periods (1981–1986 and 2004–2008) and two non-eruptive periods (1987–2004 and 2008–2011). FPS show a mixture of normal, reverse, and strike-slip faulting during all periods, with a sharp increase in strike-slip faulting observed in 1987–1997 and an increase in normal faulting in 1998–2004. FPS P-axis orientations show a ~ 90° rotation with respect to regional σ1 (N23°E) during 1981–1986 and 2004–2008, bimodal orientations (~ N-S and ~ E-W) during 1987–2004, and bimodal orientations at ~ N-E and ~ S-W from 2008–2011. We interpret these orientations to likely be due to pressurization accompanying the shallow intrusion and subsequent eruption of magma as domes during 1981–1986 and 2004–2008 and the buildup of pore pressure beneath a seismogenic volume (located at 0–1 km) with a smaller component due to the buildup of tectonic forces during 1987–2004 and 2008–2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2013.02.005","usgsCitation":"Lehto, H.L., Roman, D., and Moran, S.C., 2013, Source mechanisms of persistent shallow earthquakes during eruptive and non-eruptive periods between 1981 and 2011 at Mount St. Helens, Washington: Journal of Volcanology and Geothermal Research, v. 256, p. 1-15, https://doi.org/10.1016/j.jvolgeores.2013.02.005.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-043791","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":273943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273942,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2013.02.005"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.4,46.1 ], [ -122.4,46.5 ], [ -122.0,46.5 ], [ -122.0,46.1 ], [ -122.4,46.1 ] ] ] } } ] }","volume":"256","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1816ce4b0dd0e00d9220d","contributors":{"authors":[{"text":"Lehto, Heather L.","contributorId":34413,"corporation":false,"usgs":true,"family":"Lehto","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":476184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana C.","contributorId":59710,"corporation":false,"usgs":true,"family":"Roman","given":"Diana C.","affiliations":[],"preferred":false,"id":476185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":476183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044434,"text":"70044434 - 2013 - White-nose syndrome is likely to extirpate the endangered Indiana bat over large parts of its range","interactions":[],"lastModifiedDate":"2018-01-04T15:23:01","indexId":"70044434","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome is likely to extirpate the endangered Indiana bat over large parts of its range","docAbstract":"White-nose syndrome, a novel fungal pathogen spreading quickly through cave-hibernating bat species in east and central North America, is responsible for killing millions of bats. We developed a stochastic, stage-based population model to forecast the population dynamics of the endangered Indiana bat (Myotis sodalis) subject to white-nose syndrome. Our population model explicitly incorporated environmentally imposed annual variability in survival and reproductive rates and demographic stochasticity in predictions of extinction. With observed rates of disease spread, >90% of wintering populations were predicted to experience white-nose syndrome within 20 years, causing the proportion of populations at the quasi-extinction threshold of less than 250 females to increase by 33.9% over 50 years. At the species’ lowest median population level, ca. year 2022, we predicted 13.7% of the initial population to remain, totaling 28,958 females (95% CI = 13,330; 92,335). By 2022, only 12 of the initial 52 wintering populations were expected to possess wintering populations of >250 females. If the species can acquire immunity to the disease, we predict 3.7% of wintering populations to be above 250 females after 50 years (year 2057) after a 69% decline in abundance (from 210,741 to 64,768 [95% CI = 49,386; 85,360] females). At the nadir of projections, we predicted regional quasi-extirpation of wintering populations in 2 of 4 Recovery Units while in a third region, where the species is currently most abundant, >95% of the wintering populations were predicted to be below 250 females. Our modeling suggests white-nose syndrome is capable of bringing about severe numerical reduction in population size and local and regional extirpation of the Indiana bat.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2013.01.010","usgsCitation":"Thogmartin, W.E., Sanders-Reed, C., Szymanski, J.A., McKann, P., Pruitt, L., King, R.A., Runge, M.C., and Russell, R.E., 2013, White-nose syndrome is likely to extirpate the endangered Indiana bat over large parts of its range: Biological Conservation, v. 160, p. 162-172, https://doi.org/10.1016/j.biocon.2013.01.010.","productDescription":"11 p.","startPage":"162","endPage":"172","ipdsId":"IP-036949","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":270474,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2013.01.010"},{"id":270554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -167.5,5.6 ], [ -167.5,72.2 ], [ -21.6,72.2 ], [ -21.6,5.6 ], [ -167.5,5.6 ] ] ] } } ] }","volume":"160","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4f70e4b0803bd2eec551","contributors":{"authors":[{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":475584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders-Reed, Carol A.","contributorId":86441,"corporation":false,"usgs":true,"family":"Sanders-Reed","given":"Carol A.","affiliations":[],"preferred":false,"id":475591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szymanski, Jennifer A.","contributorId":51593,"corporation":false,"usgs":true,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKann, Patrick C.","contributorId":14940,"corporation":false,"usgs":true,"family":"McKann","given":"Patrick C.","affiliations":[],"preferred":false,"id":475587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pruitt, Lori","contributorId":17468,"corporation":false,"usgs":true,"family":"Pruitt","given":"Lori","email":"","affiliations":[],"preferred":false,"id":475588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, R. Andrew","contributorId":40839,"corporation":false,"usgs":true,"family":"King","given":"R.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":475589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":475585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":475586,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70044643,"text":"70044643 - 2013 - The effects of increased stream temperatures on juvenile steelhead growth in the Yakima River Basin based on projected climate change scenarios","interactions":[],"lastModifiedDate":"2016-04-26T10:00:54","indexId":"70044643","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"The effects of increased stream temperatures on juvenile steelhead growth in the Yakima River Basin based on projected climate change scenarios","docAbstract":"Stakeholders within the Yakima River Basin expressed concern over impacts of climate change on mid-Columbia River steelhead (Oncorhynchus mykiss), listed under the Endangered Species Act. We used a bioenergetics model to assess the impacts of changing stream temperatures—resulting from different climate change scenarios—on growth of juvenile steelhead in the Yakima River Basin. We used diet and fish size data from fieldwork in a bioenergetics model and integrated baseline and projected stream temperatures from down-scaled air temperature climate modeling into our analysis. The stream temperature models predicted that daily mean temperatures of salmonid-rearing streams in the basin could increase by 1–2°C and our bioenergetics simulations indicated that such increases could enhance the growth of steelhead in the spring, but reduce it during the summer. However, differences in growth rates of fish living under different climate change scenarios were minor, ranging from about 1–5%. Because our analysis focused mostly on the growth responses of steelhead to changes in stream temperatures, further work is needed to fully understand the potential impacts of climate change. Studies should include evaluating changing stream flows on fish activity and energy budgets, responses of aquatic insects to climate change, and integration of bioenergetics, population dynamics, and habitat responses to climate change.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0627-x","usgsCitation":"Hardiman, J.M., and Mesa, M.G., 2013, The effects of increased stream temperatures on juvenile steelhead growth in the Yakima River Basin based on projected climate change scenarios: Climate Change, v. 124, no. 1, p. 413-426, https://doi.org/10.1007/s10584-012-0627-x.","productDescription":"14 p.","startPage":"413","endPage":"426","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037042","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":273237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.65,46.19 ], [ -120.65,47.01 ], [ -119.77,47.01 ], [ -119.77,46.19 ], [ -120.65,46.19 ] ] ] } } ] }","volume":"124","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"51af0c70e4b08a3322c2c351","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476123,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70136013,"text":"70136013 - 2013 - Population ecology of polar bears in Davis Strait, Canada and Greenland","interactions":[],"lastModifiedDate":"2014-12-22T11:24:26","indexId":"70136013","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population ecology of polar bears in Davis Strait, Canada and Greenland","docAbstract":"Until recently, the sea ice habitat of polar bears was understood to be variable, but environmental variability was considered to be cyclic or random, rather than progressive. Harvested populations were believed to be at levels where density effects were considered not significant. However, because we now understand that polar bear demography can also be influenced by progressive change in the environment, and some populations have increased to greater densities than historically lower numbers, a broader suite of factors should be considered in demographic studies and management. We analyzed 35 years of capture and harvest data from the polar bear (Ursus maritimus) subpopulation in Davis Strait, including data from a new study (2005–2007), to quantify its current demography. We estimated the population size in 2007 to be 2,158 ± 180 (SE), a likely increase from the 1970s. We detected variation in survival, reproductive rates, and age-structure of polar bears from geographic sub-regions. Survival and reproduction of bears in southern Davis Strait was greater than in the north and tied to a concurrent dramatic increase in breeding harp seals (Pagophilus groenlandicus) in Labrador. The most supported survival models contained geographic and temporal variables. Harp seal abundance was significantly related to polar bear survival. Our estimates of declining harvest recovery rate, and increasing total survival, suggest that the rate of harvest declined over time. Low recruitment rates, average adult survival rates, and high population density, in an environment of high prey density, but deteriorating and variable ice conditions, currently characterize the Davis Strait polar bears. Low reproductive rates may reflect negative effects of greater densities or worsening ice conditions.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.489","usgsCitation":"Peacock, E.L., Taylor, M.K., Laake, J.L., and Stirling, I., 2013, Population ecology of polar bears in Davis Strait, Canada and Greenland: Journal of Wildlife Management, v. 77, no. 3, p. 463-476, https://doi.org/10.1002/jwmg.489.","productDescription":"14 p.","startPage":"463","endPage":"476","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026628","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":296841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland","otherGeospatial":"Davis Strait","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.63671875,\n 48.22467264956519\n ],\n [\n -92.63671875,\n 73.1758971742261\n ],\n [\n -43.9453125,\n 73.1758971742261\n ],\n [\n -43.9453125,\n 48.22467264956519\n ],\n [\n -92.63671875,\n 48.22467264956519\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-19","publicationStatus":"PW","scienceBaseUri":"54dd2c27e4b08de9379b366f","contributors":{"authors":[{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":537057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Mitchell K.","contributorId":131049,"corporation":false,"usgs":false,"family":"Taylor","given":"Mitchell","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":537062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laake, Jeffrey L.","contributorId":83851,"corporation":false,"usgs":false,"family":"Laake","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":537063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stirling, Ian","contributorId":72079,"corporation":false,"usgs":false,"family":"Stirling","given":"Ian","email":"","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":537064,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193600,"text":"70193600 - 2013 - Contrasting patterns of vesiculation in low, intermediate, and high Hawaiian fountains: A case study of the 1969 Mauna Ulu eruption","interactions":[],"lastModifiedDate":"2017-11-03T18:31:45","indexId":"70193600","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting patterns of vesiculation in low, intermediate, and high Hawaiian fountains: A case study of the 1969 Mauna Ulu eruption","docAbstract":"Hawaiian-style eruptions, or Hawaiian fountains, typically occur at basaltic volcanoes and are sustained, weakly explosive jets of gas and dominantly coarse, juvenile ejecta (dense spatter to delicate reticulite). Almost the entire range of styles and mass eruption rates within Hawaiian fountaining occurred during twelve fountaining episodes recorded at Mauna Ulu, Kīlauea between May and December 1969. Such diversity in intensity and style is controlled during magma ascent by many processes that can be constrained by the size and shape of vesicles in the 1969 pyroclasts. This paper describes pyroclast vesicularity from high, intermediate, and low fountaining episodes with eruption rates from 0.05 to 1.3 × 106 m3 h− 1. As each eruptive episode progressed, magma ascent slowed in and around the vent system, offering extended time for bubbles to grow and coalesce. Late ejected pyroclasts are thus characterized by populations of fewer and larger vesicles with relaxed shapes. This progression continued in the intervals between episodes after termination of fountain activity. The time scale for this process of shallow growth, coalescence and relaxation of bubbles is typically tens of hours. Rims and cores of pumiceous pyroclasts from moderate to high fountaining episodes record a second post-fragmentation form of vesicle maturation. Partially thermally insulated pyroclasts can have internal bubble populations evolve more dynamically with continued growth and coalescence, on a time scale of only minutes, during transport in the fountains. Reticulite, which formed in a short-lived fountain 540 m in height, underwent late, short-lived bubble nucleation followed by rapid growth of a uniform bubble population in a thermally insulated fountain, and quenched at the onset of permeability before significant coalescence. These contrasting patterns of shallow degassing and outgassing were the dominant controls in determining both the form and duration of fountaining episodes at Mauna Ulu, and probably for many other Hawaiian-style eruptions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2013.01.016","usgsCitation":"Parcheta, C.E., Houghton, B.F., and Swanson, D., 2013, Contrasting patterns of vesiculation in low, intermediate, and high Hawaiian fountains: A case study of the 1969 Mauna Ulu eruption: Journal of Volcanology and Geothermal Research, v. 255, p. 79-89, https://doi.org/10.1016/j.jvolgeores.2013.01.016.","productDescription":"11 p.","startPage":"79","endPage":"89","ipdsId":"IP-044007","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Ulu","volume":"255","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eade4b0531197b27fdc","contributors":{"authors":[{"text":"Parcheta, Carolyn E. cparcheta@usgs.gov","contributorId":5316,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":719776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":719777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Donald A. 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":3137,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719778,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045896,"text":"70045896 - 2013 - Mineral resource of the month: tellurium","interactions":[],"lastModifiedDate":"2013-05-08T16:39:22","indexId":"70045896","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: tellurium","docAbstract":"The article offers information on tellerium, a rare and expensive metal. Tellerium is considered the 71st most abundant element in Earth's crust, along with platinum and palladium. The element belongs to the chalcogen chemical family, and is recovered as a byproduct of nonferrous metal mining. The global demand for tellerium has significantly increased due to the growth in solar cell production in the U.S. and Europe, and thermoplastics in China.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Mineral resource of the month: tellurium: Earth, v. 58, no. 3, p. 57-57.","productDescription":"1 p.","startPage":"57","endPage":"57","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f4e4b0037667dbc8ae","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":535497,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046243,"text":"70046243 - 2013 - Terrestrial movement patterns of western pond turtles (Actinemys marmorata) in central California","interactions":[],"lastModifiedDate":"2013-06-06T08:08:46","indexId":"70046243","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial movement patterns of western pond turtles (Actinemys marmorata) in central California","docAbstract":"We used radio telemetry to track the terrestrial movements and seasonal habitat use patterns of Western Pond Turtles (Actinemys marmorata) near two ponds in the Carrizo Plain Ecological Reserve, California, USA. We captured 93 turtles in September 2005 and, of these, we tagged three males and six females(weighing > 300 g) with external transmitters. Tagged turtles traveled from 255–1,096 m over the 448-day study, and we found none further than 343 m from ponds. All turtles moved away from the ponds as water levels receded in the fall, resulting in periods of terrestrial overwintering ranging from 10–30 weeks (74–202 d). We found no evidence for group migrations as turtles departed ponds over 2–8 week periods, moved in different directions from their ponds, and used different habitats. Turtles overwintered mainly in oak and chaparral vegetation communities, which constituted most of the local vegetation. We found overwintering turtles in a variety of microhabitats, but all turtles were on the surface with their carapace just visible amongst the duff layer. Turtles returned to ponds over several weeks, sometimes months after they refilled with winter rains. In the winter of 2006–2007, no turtles returned to terrestrial overwintering sites used the previous year. Most of the turtles we tracked spent over half of each year on land, demonstrating the importance of terrestrial habitats around these seasonal ponds. This pattern is similar to pond turtles living in streams (overwinter on land), as compared to permanent ponds (turtles often remain in water).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Conservation and Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Pilliod, D., Welty, J., and Stafford, R., 2013, Terrestrial movement patterns of western pond turtles (Actinemys marmorata) in central California: Herpetological Conservation and Biology, v. 8, no. 1, p. 207-221.","productDescription":"15 p.","startPage":"207","endPage":"221","ipdsId":"IP-043026","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":273348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273347,"type":{"id":11,"text":"Document"},"url":"https://herpconbio.org/Volume_8/Issue_1/Pilliod_etal_2013.pdf"}],"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":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1bbd5e4b022a6a540fa18","contributors":{"authors":[{"text":"Pilliod, David S.","contributorId":101760,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":479271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Justin L.","contributorId":80558,"corporation":false,"usgs":true,"family":"Welty","given":"Justin L.","affiliations":[],"preferred":false,"id":479270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Robert","contributorId":9160,"corporation":false,"usgs":true,"family":"Stafford","given":"Robert","email":"","affiliations":[],"preferred":false,"id":479269,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045178,"text":"ofr20131075 - 2013 - Change in the length of the middle section of the Chandeleur Islands oil berm, November 17, 2010, through September 6, 2011","interactions":[],"lastModifiedDate":"2013-04-01T14:06:26","indexId":"ofr20131075","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1075","title":"Change in the length of the middle section of the Chandeleur Islands oil berm, November 17, 2010, through September 6, 2011","docAbstract":"On April 20, 2010, an explosion on the Deepwater Horizon oil rig drilling at the Macondo Prospect site in the Gulf of Mexico resulted in a marine oil spill that continued to flow through July 15, 2010. One of the affected areas was the Breton National Wildlife Refuge, which consists of a chain of low-lying islands, including Breton Island and the Chandeleur Islands, and their surrounding waters. The island chain is located approximately 115-150 kilometers north-northwest of the spill site. A sand berm was constructed seaward of, and on, the island chain. Construction began at the northern end of the Chandeleur Islands in June 2010 and ended in April 2011. The berm consisted of three distinct sections based on where the berm was placed relative to the islands. The northern section of the berm was built in open water on a submerged portion of the Chandeleur Islands platform. The middle section was built approximately 70-90 meters seaward of the Chandeleur Islands. The southern section was built on the islands' beaches. Repeated Landsat and SPOT satellite imagery and airborne lidar were used to observe the disintegration of the berm over time. The methods used to analyze the remotely sensed data and the resulting, derived data for the middle section are described in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131075","usgsCitation":"Plant, N., and Guy, K.K., 2013, Change in the length of the middle section of the Chandeleur Islands oil berm, November 17, 2010, through September 6, 2011: U.S. Geological Survey Open-File Report 2013-1075, iii, 8 p., https://doi.org/10.3133/ofr20131075.","productDescription":"iii, 8 p.","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-11-17","temporalEnd":"2011-09-06","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":270427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131075.gif"},{"id":270426,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1075/"},{"id":270425,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1075/pdf/ofr2013-1075.pdf"}],"country":"United States","state":"Alabama;Louisiana;Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.5605,28.8206 ], [ -89.5605,30.4794 ], [ -88.0417,30.4794 ], [ -88.0417,28.8206 ], [ -89.5605,28.8206 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515a9e4fe4b0105540728a16","contributors":{"authors":[{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":476993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, K. K.","contributorId":24393,"corporation":false,"usgs":true,"family":"Guy","given":"K.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476992,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173430,"text":"70173430 - 2013 - Advantages of geographically weighted regression for modeling benthic substrate in two Greater Yellowstone Ecosystem streams","interactions":[],"lastModifiedDate":"2016-06-20T15:35:56","indexId":"70173430","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1550,"text":"Environmental Modeling & Assessment","onlineIssn":" 1573-296","printIssn":"1420-2026","active":true,"publicationSubtype":{"id":10}},"title":"Advantages of geographically weighted regression for modeling benthic substrate in two Greater Yellowstone Ecosystem streams","docAbstract":"Stream habitat assessments are commonplace in fish management, and often involve nonspatial analysis methods for quantifying or predicting habitat, such as ordinary least squares regression (OLS). Spatial relationships, however, often exist among stream habitat variables. For example, water depth, water velocity, and benthic substrate sizes within streams are often spatially correlated and may exhibit spatial nonstationarity or inconsistency in geographic space. Thus, analysis methods should address spatial relationships within habitat datasets. In this study, OLS and a recently developed method, geographically weighted regression (GWR), were used to model benthic substrate from water depth and water velocity data at two stream sites within the Greater Yellowstone Ecosystem. For data collection, each site was represented by a grid of 0.1 m2 cells, where actual values of water depth, water velocity, and benthic substrate class were measured for each cell. Accuracies of regressed substrate class data by OLS and GWR methods were calculated by comparing maps, parameter estimates, and determination coefficient r 2. For analysis of data from both sites, Akaike’s Information Criterion corrected for sample size indicated the best approximating model for the data resulted from GWR and not from OLS. Adjusted r 2 values also supported GWR as a better approach than OLS for prediction of substrate. This study supports GWR (a spatial analysis approach) over nonspatial OLS methods for prediction of habitat for stream habitat assessments.
","language":"English","publisher":"Springer","doi":"10.1007/s10666-012-9334-2","usgsCitation":"Sheehan, K.R., Strager, M.P., and Welsh, S., 2013, Advantages of geographically weighted regression for modeling benthic substrate in two Greater Yellowstone Ecosystem streams: Environmental Modeling & Assessment, v. 18, no. 2, p. 209-219, https://doi.org/10.1007/s10666-012-9334-2.","productDescription":"11 p.","startPage":"209","endPage":"219","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033772","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","volume":"18","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-05","publicationStatus":"PW","scienceBaseUri":"576913aee4b07657d19fef8a","contributors":{"authors":[{"text":"Sheehan, Kenneth R.","contributorId":146541,"corporation":false,"usgs":false,"family":"Sheehan","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":637122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strager, Michael P.","contributorId":169817,"corporation":false,"usgs":false,"family":"Strager","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148664,"text":"70148664 - 2013 - Burrowing, byssus, and biomarkers: behavioral and physiological indicators of sublethal thermal stress in freshwater mussels (Unionidae)","interactions":[],"lastModifiedDate":"2015-09-16T10:06:40","indexId":"70148664","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3900,"text":"Marine and Freshwater Behaviour and Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Burrowing, byssus, and biomarkers: behavioral and physiological indicators of sublethal thermal stress in freshwater mussels (Unionidae)","docAbstract":"Recent research has elucidated the acute lethal effects of elevated water temperatures to glochidia (larvae), juvenile, and adult life stages of freshwater mussels (Order Unionida), but few studies have focused on sublethal effects of thermal stress. We evaluated the sublethal effects of elevated temperature on burrowing behavior and byssus production in juveniles, and on enzymatic biomarkers of stress in adults in acute (96 h) laboratory experiments in sediment, with two acclimation temperatures (22 and 27 °C) and two experimental water levels (watered and dewatered) as proxies for flow regime. Increasing temperature significantly reduced burrowing in all five species tested, and the dewatered treatment (a proxy for drought conditions) reduced burrowing in all but Amblema plicata. Production of byssal threads was affected most drastically by flow regime, with the probability of byssus presence reduced by 93–99% in the dewatered treatment, compared to the watered treatment (a proxy for low flow conditions); increasing temperature alone reduced byssus by 18–35%. Alanine aminotransferase and aspartate aminotransferase were significantly affected by treatment temperature in the 27 °C acclimation, watered test (p = 0.04 and 0.02, respectively). Our results are important in the context of climate change, because stream temperature and flow are expected to change with increasing air temperature and altered precipitation patterns.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10236244.2013.805891","usgsCitation":"Archambault, J.M., Cope, W., and Kwak, T.J., 2013, Burrowing, byssus, and biomarkers: behavioral and physiological indicators of sublethal thermal stress in freshwater mussels (Unionidae): Marine and Freshwater Behaviour and Physiology, v. 46, no. 4, p. 229-250, https://doi.org/10.1080/10236244.2013.805891.","productDescription":"22 p.","startPage":"229","endPage":"250","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044678","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":308169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92b0e4b05d6c4e501a5a","contributors":{"authors":[{"text":"Archambault, Jennifer M.","contributorId":141248,"corporation":false,"usgs":false,"family":"Archambault","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":570057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150416,"text":"70150416 - 2013 - Water levels shape fishing participation in flood-control reservoirs","interactions":[],"lastModifiedDate":"2015-06-24T13:44:24","indexId":"70150416","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Water levels shape fishing participation in flood-control reservoirs","docAbstract":"We examined the relationship between fishing effort (hours fished) and average March–May water level in 3 flood control reservoirs in Mississippi. Fishing effort increased as water level rose, peaked at intermediate water levels, and decreased at high water levels. We suggest that the observed arched-shaped relationship is driven by the shifting influence of fishability (adequacy of the fishing circumstances from an angler's perspective) and catch rate along a water level continuum. Fishability reduces fishing effort during low water, despite the potential for higher catch rates. Conversely, reduced catch rates and fishability at high water also curtail effort. Thus, both high and low water levels seem to discourage fishing effort, whereas anglers seem to favor intermediate water levels. Our results have implications for water level management in reservoirs with large water level fluctuations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.775200","usgsCitation":"Miranda, L.E., and Meals, K.O., 2013, Water levels shape fishing participation in flood-control reservoirs: Lake and Reservoir Management, v. 29, no. 1, p. 82-86, https://doi.org/10.1080/10402381.2013.775200.","productDescription":"5 p.","startPage":"82","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041865","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Enid Lake, Grenada Lake, Sardis Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.77100372314452,\n 33.80425580201489\n ],\n [\n -89.77787017822266,\n 33.83962341851979\n ],\n [\n -89.76722717285156,\n 33.85587620512014\n ],\n [\n -89.73392486572266,\n 33.86842010104708\n ],\n [\n -89.73255157470703,\n 33.85331018121947\n ],\n [\n -89.72293853759766,\n 33.872981060836516\n ],\n [\n -89.70577239990234,\n 33.899486813913285\n ],\n [\n -89.69444274902344,\n 33.906325671271766\n ],\n [\n -89.68826293945312,\n 33.89863191817192\n ],\n [\n -89.68414306640625,\n 33.90974489422525\n ],\n [\n -89.6755599975586,\n 33.91743764437137\n ],\n [\n -89.66354370117188,\n 33.91515838338891\n ],\n [\n -89.6597671508789,\n 33.90860516848035\n ],\n [\n -89.66285705566406,\n 33.90176649398626\n ],\n [\n -89.69032287597656,\n 33.87839688404627\n ],\n [\n -89.68963623046875,\n 33.87127072947453\n ],\n [\n -89.69684600830078,\n 33.86756489395595\n ],\n [\n -89.69650268554688,\n 33.86015274030232\n ],\n [\n -89.70130920410156,\n 33.851029206367905\n ],\n [\n -89.70783233642578,\n 33.837912419023645\n ],\n [\n -89.69718933105469,\n 33.8430453147447\n ],\n [\n -89.67350006103516,\n 33.84076406581977\n ],\n [\n -89.66148376464842,\n 33.838767923053624\n ],\n [\n -89.64603424072264,\n 33.829071709282495\n ],\n [\n -89.62886810302734,\n 33.82564925359296\n ],\n [\n -89.61479187011717,\n 33.8310680785005\n ],\n [\n -89.59728240966797,\n 33.83135327029742\n ],\n [\n -89.59453582763672,\n 33.826219672388234\n ],\n [\n -89.58904266357422,\n 33.829071709282495\n ],\n [\n -89.56912994384766,\n 33.83563103307716\n ],\n [\n -89.55883026123047,\n 33.831923651036924\n ],\n [\n -89.54647064208984,\n 33.827360498562484\n ],\n [\n -89.55196380615233,\n 33.818803931236594\n ],\n [\n -89.57084655761719,\n 33.81309907738368\n ],\n [\n -89.58698272705078,\n 33.79854997801964\n ],\n [\n -89.60620880126953,\n 33.80739384305862\n ],\n [\n -89.61959838867188,\n 33.811672804470476\n ],\n [\n -89.62921142578125,\n 33.80710857135553\n ],\n [\n -89.64122772216797,\n 33.80282938167959\n ],\n [\n -89.67178344726562,\n 33.805396921164075\n ],\n [\n -89.70645904541016,\n 33.80682329870135\n ],\n [\n -89.71057891845703,\n 33.79769407161075\n ],\n [\n -89.71435546875,\n 33.80767911381062\n ],\n [\n -89.7366714477539,\n 33.80596747503222\n ],\n [\n -89.7414779663086,\n 33.80425580201489\n ],\n [\n -89.73804473876953,\n 33.79541161267794\n ],\n [\n -89.74662780761719,\n 33.799405875869724\n ],\n [\n -89.7531509399414,\n 33.803114667648735\n ],\n [\n -89.75349426269531,\n 33.79427036038888\n ],\n [\n -89.76207733154297,\n 33.790275857562584\n ],\n [\n -89.76276397705077,\n 33.797408767572485\n ],\n [\n -89.7637939453125,\n 33.80282938167959\n ],\n [\n -89.77100372314452,\n 33.80425580201489\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.912109375,\n 34.14022500809142\n ],\n [\n -89.90592956542969,\n 34.16295449004889\n ],\n [\n -89.89288330078125,\n 34.1635226487228\n ],\n [\n -89.89425659179688,\n 34.17602117212643\n ],\n [\n -89.8846435546875,\n 34.17431693701009\n ],\n [\n -89.86541748046875,\n 34.17374885098959\n ],\n [\n -89.87640380859375,\n 34.161818161230386\n ],\n [\n -89.84825134277342,\n 34.165795245182245\n ],\n [\n -89.81941223144531,\n 34.16465895459984\n ],\n [\n -89.78096008300781,\n 34.16749965237792\n ],\n [\n -89.76242065429688,\n 34.16749965237792\n ],\n [\n -89.7418212890625,\n 34.16636338473789\n ],\n [\n -89.74319458007812,\n 34.15159051366224\n ],\n [\n -89.76654052734375,\n 34.14249823152873\n ],\n [\n -89.76722717285156,\n 34.13511003175254\n ],\n [\n -89.78507995605469,\n 34.13908837343849\n ],\n [\n -89.81185913085938,\n 34.13738339279196\n ],\n [\n -89.835205078125,\n 34.13795172349637\n ],\n [\n -89.82833862304688,\n 34.12885797357789\n ],\n [\n -89.83245849609375,\n 34.113510052127566\n ],\n [\n -89.84619140625,\n 34.12715278654448\n ],\n [\n -89.85374450683594,\n 34.1226054529712\n ],\n [\n -89.86129760742188,\n 34.13226824445654\n ],\n [\n -89.88258361816406,\n 34.133973328300186\n ],\n [\n -89.88876342773438,\n 34.129426361612204\n ],\n [\n -89.88945007324219,\n 34.118626335469514\n ],\n [\n -89.90180969238281,\n 34.129994745824746\n ],\n [\n -89.912109375,\n 34.14022500809142\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.80567932128906,\n 34.39331222316112\n ],\n [\n -89.8187255859375,\n 34.4233369402125\n ],\n [\n -89.80224609374999,\n 34.43126619807117\n ],\n [\n -89.80087280273438,\n 34.448821163611186\n ],\n [\n -89.78164672851562,\n 34.45618182558264\n ],\n [\n -89.7747802734375,\n 34.46524021121972\n ],\n [\n -89.75967407226562,\n 34.45561564384829\n ],\n [\n -89.75486755371092,\n 34.468070755169244\n ],\n [\n -89.736328125,\n 34.46410796676402\n ],\n [\n -89.72122192382812,\n 34.47146728120382\n ],\n [\n -89.71572875976561,\n 34.486749937679335\n ],\n [\n -89.70268249511719,\n 34.482788036293435\n ],\n [\n -89.6759033203125,\n 34.4980686189572\n ],\n [\n -89.64569091796874,\n 34.513346401475786\n ],\n [\n -89.61479187011717,\n 34.52466147177172\n ],\n [\n -89.59213256835938,\n 34.542196793193945\n ],\n [\n -89.56398010253906,\n 34.55011476000879\n ],\n [\n -89.5440673828125,\n 34.55294242272581\n ],\n [\n -89.50286865234375,\n 34.55633549113739\n ],\n [\n -89.50286865234375,\n 34.53936876533996\n ],\n [\n -89.5166015625,\n 34.522398580663314\n ],\n [\n -89.55230712890624,\n 34.51787261401661\n ],\n [\n -89.57427978515625,\n 34.50655662164561\n ],\n [\n -89.57565307617186,\n 34.49580500560864\n ],\n [\n -89.58183288574219,\n 34.48901379683819\n ],\n [\n -89.59144592285155,\n 34.48109002095169\n ],\n [\n -89.59831237792969,\n 34.48109002095169\n ],\n [\n -89.62577819824219,\n 34.473165492385505\n ],\n [\n -89.64019775390625,\n 34.465806327688526\n ],\n [\n -89.62921142578125,\n 34.45618182558264\n ],\n [\n -89.62028503417969,\n 34.44485746154028\n ],\n [\n -89.63333129882812,\n 34.44032728601712\n ],\n [\n -89.65324401855469,\n 34.4516522642206\n ],\n [\n -89.659423828125,\n 34.45504945827504\n ],\n [\n -89.6759033203125,\n 34.44032728601712\n ],\n [\n -89.69856262207031,\n 34.43069984745346\n ],\n [\n -89.70817565917967,\n 34.428434406606954\n ],\n [\n -89.68757629394531,\n 34.401810877943575\n ],\n [\n -89.68208312988281,\n 34.38991251959605\n ],\n [\n -89.69375610351562,\n 34.38537936672342\n ],\n [\n -89.71504211425781,\n 34.405776621468384\n ],\n [\n -89.72602844238281,\n 34.42277053587108\n ],\n [\n -89.74800109863281,\n 34.40634314091266\n ],\n [\n -89.75143432617188,\n 34.40011121603371\n ],\n [\n -89.74250793457031,\n 34.38821261603411\n ],\n [\n -89.75143432617188,\n 34.38481270535542\n ],\n [\n -89.76997375488281,\n 34.39614520398497\n ],\n [\n -89.76722717285156,\n 34.38311269824024\n ],\n [\n -89.78164672851562,\n 34.39387882699731\n ],\n [\n -89.80567932128906,\n 34.39331222316112\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bd4c4e4b0b6d21dd65335","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meals, K. O.","contributorId":143691,"corporation":false,"usgs":false,"family":"Meals","given":"K.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":556821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045252,"text":"70045252 - 2013 - Variability of displacement at a point: Implications for earthquake‐size distribution and rupture hazard on faults","interactions":[],"lastModifiedDate":"2021-05-21T17:13:11.854001","indexId":"70045252","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Variability of displacement at a point: Implications for earthquake‐size distribution and rupture hazard on faults","docAbstract":"To investigate the nature of earthquake‐magnitude distributions on faults, we compare the interevent variability of surface displacement at a point on a fault from a composite global data set of paleoseismic observations with the variability expected from two prevailing magnitude–frequency distributions: the truncated‐exponential model and the characteristic‐earthquake model. We use forward modeling to predict the coefficient of variation (CV) for the alternative earthquake distributions, incorporating factors that would effect observations of displacement at a site. The characteristic‐earthquake model (with a characteristic‐magnitude range of ±0.25) produces CV values consistent with the data (CV∼0.5) only if the variability for a given earthquake magnitude is small. This condition implies that rupture patterns on a fault are stable, in keeping with the concept behind the model. This constraint also bears upon fault‐rupture hazard analysis, which, for lack of point‐specific information, has used global scaling relations to infer variability in average displacement for a given‐size earthquake. Exponential distributions of earthquakes (from M 5 to the maximum magnitude) give rise to CV values that are significantly larger than the empirical constraint. A version of the model truncated at M 7, however, yields values consistent with a larger CV (∼0.6) determined for small‐displacement sites. Although this result allows for a difference in the magnitude distribution of smaller surface‐rupturing earthquakes, it may reflect, in part, less stability in the displacement profile of smaller ruptures and/or the tails of larger ruptures.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120159","usgsCitation":"Hecker, S., Abrahamson, N., and Wooddell, K., 2013, Variability of displacement at a point: Implications for earthquake‐size distribution and rupture hazard on faults: Bulletin of the Seismological Society of America, v. 103, no. 2A, p. 651-674, https://doi.org/10.1785/0120120159.","productDescription":"24 p.","startPage":"651","endPage":"674","ipdsId":"IP-037964","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":272873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2A","noUsgsAuthors":false,"publicationDate":"2013-03-21","publicationStatus":"PW","scienceBaseUri":"51a5d1f1e4b0605bc571f02d","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X shecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":3553,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","email":"shecker@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":477140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahamson, N. A.","contributorId":27152,"corporation":false,"usgs":false,"family":"Abrahamson","given":"N. A.","affiliations":[],"preferred":false,"id":477141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wooddell, Kathryn","contributorId":47674,"corporation":false,"usgs":false,"family":"Wooddell","given":"Kathryn","email":"","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":477142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043312,"text":"70043312 - 2013 - The feasibility of producing adequate feedstock for year–round cellulosic ethanol production in an intensive agricultural fuelshed","interactions":[],"lastModifiedDate":"2018-01-26T17:12:36","indexId":"70043312","displayToPublicDate":"2013-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":993,"text":"BioEnergy Research","active":true,"publicationSubtype":{"id":10}},"title":"The feasibility of producing adequate feedstock for year–round cellulosic ethanol production in an intensive agricultural fuelshed","docAbstract":"To date, cellulosic ethanol production has not been commercialized in the United States. However, government mandates aimed at increasing second-generation biofuel production could spur exploratory development in the cellulosic ethanol industry. We conducted an in-depth analysis of the fuelshed surrounding a starch-based ethanol plant near York, Nebraska that has the potential for cellulosic ethanol production. To assess the feasibility of supplying adequate biomass for year-round cellulosic ethanol production from residual maize (Zea mays) stover and bioenergy switchgrass (Panicum virgatum) within a 40-km road network service area of the existing ethanol plant, we identified ∼14,000 ha of marginally productive cropland within the service area suitable for conversion from annual rowcrops to switchgrass and ∼132,000 ha of maize-enrolled cropland from which maize stover could be collected. Annual maize stover and switchgrass biomass supplies within the 40-km service area could range between 429,000 and 752,000 metric tons (mT). Approximately 140–250 million liters (l) of cellulosic ethanol could be produced, rivaling the current 208 million l annual starch-based ethanol production capacity of the plant. We conclude that sufficient quantities of biomass could be produced from maize stover and switchgrass near the plant to support year-round cellulosic ethanol production at current feedstock yields, sustainable removal rates and bioconversion efficiencies. Modifying existing starch-based ethanol plants in intensive agricultural fuelsheds could increase ethanol output, return marginally productive cropland to perennial vegetation, and remove maize stover from productive cropland to meet feedstock demand.","language":"English","publisher":"Springer","doi":"10.1007/s12155-013-9311-x","usgsCitation":"Uden, D.R., Mitchell, R.B., Allen, C.R., Guan, Q., and McCoy, T.D., 2013, The feasibility of producing adequate feedstock for year–round cellulosic ethanol production in an intensive agricultural fuelshed: BioEnergy Research, v. 6, no. 3, p. 930-938, https://doi.org/10.1007/s12155-013-9311-x.","productDescription":"9 p.","startPage":"930","endPage":"938","ipdsId":"IP-043680","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":271038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271037,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12155-013-9311-x"}],"country":"United States","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-22","publicationStatus":"PW","scienceBaseUri":"516fc468e4b05024ef3cd420","contributors":{"authors":[{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Rob B.","contributorId":100715,"corporation":false,"usgs":true,"family":"Mitchell","given":"Rob","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":473365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":473361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guan, Qingfeng","contributorId":85067,"corporation":false,"usgs":true,"family":"Guan","given":"Qingfeng","email":"","affiliations":[],"preferred":false,"id":473363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Tim D.","contributorId":86669,"corporation":false,"usgs":true,"family":"McCoy","given":"Tim","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":473364,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}