{"pageNumber":"1412","pageRowStart":"35275","pageSize":"25","recordCount":165227,"records":[{"id":70047116,"text":"70047116 - 2013 - Comparing catch orientation among Minnesota walleye, northern pike, and bass anglers","interactions":[],"lastModifiedDate":"2014-01-08T09:33:27","indexId":"70047116","displayToPublicDate":"2013-09-01T09:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comparing catch orientation among Minnesota walleye, northern pike, and bass anglers","docAbstract":"We compared the catch orientations of Minnesota walleye (Sander vitreus), northern pike (Esox lucius), largemouth bass (Micropterus salmoides), and smallmouth bass (Micropterus dolomieu) anglers. Results were derived from 2009, 2010, and 2012 surveys of anglers targeting these different species. Consistent with previous research, we identified four dimensions of anglers’ catch orientation: (a) catching something, (b) catching big fish, (c) catching many fish, and (d) keeping fish. Walleye anglers were the most motivated to keep fish, while northern pike anglers were more oriented toward catching big fish. Largemouth bass anglers, and to a lesser extent smallmouth bass anglers, were also oriented toward catching big fish. Bass anglers reported the lowest interest in keeping fish. An orientation to keep fish was negatively related to more restrictive management actions, regardless of species. A stronger orientation to catch big fish was associated with support for increased harvest restrictions only for northern pike and smallmouth bass.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Human Dimensions of Wildlife: An International Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2013.789938","usgsCitation":"Schroeder, S., and Fulton, D.C., 2013, Comparing catch orientation among Minnesota walleye, northern pike, and bass anglers: Human Dimensions of Wildlife: An International Journal, v. 18, no. 5, p. 355-372, https://doi.org/10.1080/10871209.2013.789938.","productDescription":"18 p.","startPage":"355","endPage":"372","numberOfPages":"18","ipdsId":"IP-044863","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":280694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280693,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10871209.2013.789938"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"18","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd51f9e4b0b290850f43c7","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":481099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":481098,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074635,"text":"70074635 - 2013 - Recent land-use/land-cover change in the Central California Valley","interactions":[],"lastModifiedDate":"2014-01-31T09:33:11","indexId":"70074635","displayToPublicDate":"2013-09-01T09:22:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Recent land-use/land-cover change in the Central California Valley","docAbstract":"Open access to Landsat satellite data has enabled annual analyses of modern land-use and land-cover change (LULCC) for the Central California Valley ecoregion between 2005 and 2010. Our annual LULCC estimates capture landscape-level responses to water policy changes, climate, and economic instability. From 2005 to 2010, agriculture in the region fluctuated along with regulatory-driven changes in water allocation as well as persistent drought conditions. Grasslands and shrublands declined, while developed lands increased in former agricultural and grassland/shrublands. Development rates stagnated in 2007, coinciding with the onset of the historic foreclosure crisis in California and the global economic downturn. We utilized annual LULCC estimates to generate interval-based LULCC estimates (2000–2005 and 2005–2010) and extend existing 27 year interval-based land change monitoring through 2010. Resulting change data provides insights into the drivers of landscape change in the Central California Valley ecoregion and represents the first, continuous, 37 year mapping effort of its kind.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Land Use Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2013.841297","usgsCitation":"Soulard, C.E., and Wilson, T.S., 2013, Recent land-use/land-cover change in the Central California Valley: Journal of Land Use Science, 22 p., https://doi.org/10.1080/1747423X.2013.841297.","productDescription":"22 p.","ipdsId":"IP-041215","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2013.841297","text":"Publisher Index Page"},{"id":281791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281790,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1747423X.2013.841297"}],"country":"United States","state":"California","otherGeospatial":"Central California Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.62,34.86 ], [ -121.62,39.22 ], [ -119.18,39.22 ], [ -119.18,34.86 ], [ -121.62,34.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"53cd6f50e4b0b29085106578","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":489618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara S.","contributorId":36640,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045524,"text":"70045524 - 2013 - Coping with the cold: An ecological context for the abundance and distribution of rock sandpipers during winter in upper Cook Inlet, Alaska","interactions":[],"lastModifiedDate":"2023-08-09T16:37:53.535193","indexId":"70045524","displayToPublicDate":"2013-09-01T09:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Coping with the cold: An ecological context for the abundance and distribution of rock sandpipers during winter in upper Cook Inlet, Alaska","docAbstract":"Shorebirds are conspicuous and abundant at high northern latitudes during spring and summer, but as seasonal conditions deteriorate, few remain during winter. To the best of our knowledge, Cook Inlet, Alaska (60.6˚ N, 151.6˚ W), is the world’s coldest site that regularly supports wintering populations of shorebirds, and it is also the most northerly nonbreeding location for shorebirds in the Pacific Basin. During the winters of 1997–2012, we conducted aerial surveys of upper Cook Inlet to document the spatial and temporal distribution and number of Rock Sandpipers (Calidris ptilocnemis) using the inlet. The average survey total was 8191 ± 6143 SD birds, and the average of each winter season’s highest single-day count was 13 603 ± 4948 SD birds. We detected only Rock Sandpipers during our surveys, essentially all of which were individuals of the nominate subspecies (C. p. ptilocnemis). Survey totals in some winters closely matched the population estimate for this subspecies, demonstrating the region’s importance as a nonbreeding resource to the subspecies. Birds were most often found at only a handful of sites in upper Cook Inlet, but shifted their distribution to more southerly locations in the inlet during periods of extreme cold. Two environmental factors allow Rock Sandpipers to inhabit Cook Inlet during winter: 1) an abundant bivalve (Macoma balthica) food source and 2) current and tidal dynamics that keep foraging substrates accessible during all but extreme periods of cold and ice accretion. C. p. ptilocnemis is a subspecies of high conservation concern for which annual winter surveys may serve as a relatively inexpensive population-monitoring tool that will also provide insight into adaptations that allow these birds to exploit high-latitude environments in winter.","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4306","usgsCitation":"Ruthrauff, D.R., Gill, R., and Tibbitts, T.L., 2013, Coping with the cold: An ecological context for the abundance and distribution of rock sandpipers during winter in upper Cook Inlet, Alaska: Arctic, v. 66, no. 3, p. 269-278, https://doi.org/10.14430/arctic4306.","productDescription":"10 p.","startPage":"269","endPage":"278","ipdsId":"IP-042631","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":486666,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13WUFWT","text":"USGS data release","linkHelpText":"Aerial Surveys of Rock Sandpiper During Winter in upper Cook Inlet, Alaska, 1997-2012"},{"id":473577,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4306","text":"Publisher Index Page"},{"id":278955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.29,58.22 ], [ -155.29,61.57 ], [ -148.92,61.57 ], [ -148.92,58.22 ], [ -155.29,58.22 ] ] ] } } ] }","volume":"66","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-09-05","publicationStatus":"PW","scienceBaseUri":"527e5867e4b02d2057dd95ca","contributors":{"authors":[{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":477736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70128147,"text":"70128147 - 2013 - Projecting demographic responses to climate change: adult and juvenile survival respond differently to direct and indirect effects of weather in a passerine population","interactions":[],"lastModifiedDate":"2014-10-07T09:22:14","indexId":"70128147","displayToPublicDate":"2013-09-01T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Projecting demographic responses to climate change: adult and juvenile survival respond differently to direct and indirect effects of weather in a passerine population","docAbstract":"Few studies have quantitatively projected changes in demography in response to climate change, yet doing so can provide important insights into the processes that may lead to population declines and changes in species distributions. Using a long-term mark-recapture data set, we examined the influence of multiple direct and indirect effects of weather on adult and juvenile survival for a population of Song Sparrows (Melospiza melodia) in California. We found evidence for a positive, direct effect of winter temperature on adult survival, and a positive, indirect effect of prior rainy season precipitation on juvenile survival, which was consistent with an effect of precipitation on food availability during the breeding season. We used these relationships, and climate projections of significantly warmer and slightly drier winter weather by the year 2100, to project a significant increase in mean adult survival (12-17%) and a slight decrease in mean juvenile survival (4-6%) under the B1 and A2 climate change scenarios. Together with results from previous studies on seasonal fecundity and postfledging survival in this population, we integrated these results in a population model and projected increases in the population growth rate under both climate change scenarios. Our results underscore the importance of considering multiple, direct, and indirect effects of weather throughout the annual cycle, as well as differences in the responses of each life stage to climate change. Projecting demographic responses to climate change can identify not only how populations will be affected by climate change but also indicate the demographic process(es) and specific mechanisms that may be responsible. This information can, in turn, inform climate change adaptation plans, help prioritize future research, and identify where limited conservation resources will be most effectively and efficiently spent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.12228","usgsCitation":"Dybala, K.E., Eadie, J.M., Gardali, T., Seavy, N.E., and Herzog, M., 2013, Projecting demographic responses to climate change: adult and juvenile survival respond differently to direct and indirect effects of weather in a passerine population: Global Change Biology, v. 19, no. 9, p. 2688-2697, https://doi.org/10.1111/gcb.12228.","productDescription":"10 p.","startPage":"2688","endPage":"2697","numberOfPages":"10","ipdsId":"IP-037635","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12228"}],"country":"United States","state":"California","volume":"19","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"543500b6e4b0a4f4b46a23c2","contributors":{"authors":[{"text":"Dybala, Kristen E.","contributorId":64168,"corporation":false,"usgs":true,"family":"Dybala","given":"Kristen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":34067,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":6961,"text":"Department of Wildlife, Fish & Conservation Biology, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":502773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardali, Thomas","contributorId":10356,"corporation":false,"usgs":true,"family":"Gardali","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":502772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seavy, Nathaniel E.","contributorId":58964,"corporation":false,"usgs":true,"family":"Seavy","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":502771,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70094655,"text":"70094655 - 2013 - Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","interactions":[],"lastModifiedDate":"2017-10-24T15:17:59","indexId":"70094655","displayToPublicDate":"2013-09-01T09:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","docAbstract":"Nest-habitat selection in colonial species has rarely been assessed at multiple spatial scales to evaluate its fitness consequences. Management for the federally endangered U.S. Interior population of Least Terns (Sternula antillarum) has focused on maintenance of breeding habitats, including mechanical construction of sandbars from dredged material. Least Terns are attracted to large areas of unvegetated substrate, yet small-scale habitat features are thought to trigger selection for nesting. We evaluated nest-scale habitat selection to determine (1) whether selection differs between constructed and natural sandbars and (2) the subsequent consequences of habitat selection on nest success. During 2006–2008, we examined 869 Least Tern nest sites on constructed and natural sandbars in the Missouri River for evidence of microhabitat selection at the nest in relation to habitat within the surrounding 3-m area. Least Tern nest sites had coarser and larger substrate materials at the nest, more debris, and less vegetation than the surrounding area. Nests in constructed habitats had a greater percentage of coarse substrates and less vegetation or debris than nests in naturally created habitats. Apparent nest success was 1.8× greater on constructed than on natural sandbars. Nest success was best predicted by models with two spatial scales of predictors, including substrates (nest) and vegetation and debris (nest or surrounding area). Our results indicate that Least Terns select nest microhabitat characteristics that are associated with wind- and water-scoured habitats, and that nest success increases when these habitats are selected.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.13048","usgsCitation":"Stucker, J.H., Buhl, D., and Sherfy, M.H., 2013, Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River: The Auk, v. 130, no. 4, p. 753-763, https://doi.org/10.1525/auk.2013.13048.","productDescription":"11 p.","startPage":"753","endPage":"763","ipdsId":"IP-024623","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.13048","text":"Publisher Index Page"},{"id":282660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska;South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.4226,42.5748 ], [ -98.4226,42.9832 ], [ -96.6453,42.9832 ], [ -96.6453,42.5748 ], [ -98.4226,42.5748 ] ] ] } } ] }","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5287e4b0b290850f495e","contributors":{"authors":[{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":490755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095255,"text":"70095255 - 2013 - A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series","interactions":[],"lastModifiedDate":"2014-03-04T08:17:54","indexId":"70095255","displayToPublicDate":"2013-09-01T08:13:52","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series","docAbstract":"he Grubbs-Beck test is recommended by the federal guidelines for detection of low outliers in flood flow frequency computation in the United States. This paper presents a generalization of the Grubbs-Beck test for normal data (similar to the Rosner (1983) test; see also Spencer and McCuen (1996)) that can provide a consistent standard for identifying multiple potentially influential low flows. In cases where low outliers have been identified, they can be represented as “less-than” values, and a frequency distribution can be developed using censored-data statistical techniques, such as the Expected Moments Algorithm. This approach can improve the fit of the right-hand tail of a frequency distribution and provide protection from lack-of-fit due to unimportant but potentially influential low flows (PILFs) in a flood series, thus making the flood frequency analysis procedure more robust.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20392","usgsCitation":"Cohn, T., England, J., Berenbrock, C., Mason, R., Stedinger, J., and Lamontagne, J., 2013, A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series: Water Resources Research, v. 49, no. 8, p. 5047-5058, https://doi.org/10.1002/wrcr.20392.","productDescription":"12 p.","startPage":"5047","endPage":"5058","ipdsId":"IP-042563","costCenters":[{"id":629,"text":"Water Resources Division","active":false,"usgs":true}],"links":[{"id":473579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20392","text":"Publisher Index Page"},{"id":283198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283197,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20392"}],"volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"53cd49dae4b0b290850ef6be","contributors":{"authors":[{"text":"Cohn, T.A.","contributorId":84789,"corporation":false,"usgs":true,"family":"Cohn","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":491161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"England, J.F.","contributorId":47687,"corporation":false,"usgs":true,"family":"England","given":"J.F.","affiliations":[],"preferred":false,"id":491159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berenbrock, C. E.","contributorId":103321,"corporation":false,"usgs":true,"family":"Berenbrock","given":"C. E.","affiliations":[],"preferred":false,"id":491163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, R.R.","contributorId":34520,"corporation":false,"usgs":true,"family":"Mason","given":"R.R.","affiliations":[],"preferred":false,"id":491158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedinger, J.R.","contributorId":90733,"corporation":false,"usgs":true,"family":"Stedinger","given":"J.R.","affiliations":[],"preferred":false,"id":491162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamontagne, J.R.","contributorId":56148,"corporation":false,"usgs":true,"family":"Lamontagne","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":491160,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171000,"text":"70171000 - 2013 - Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters","interactions":[],"lastModifiedDate":"2020-10-16T16:37:23.483776","indexId":"70171000","displayToPublicDate":"2013-09-01T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters","docAbstract":"<p><span>Concentrations of 17 neuro-active pharmaceuticals and their major metabolites (bupropion, hydroxy-bupropion, erythro-hydrobupropion, threo-hydrobupropion, carbamazepine, 10,11,-dihydro-10,11,-dihydroxycarbamazepine, 10-hydroxy-carbamazepine, citalopram,&nbsp;</span><i>N</i><span>-desmethyl-citalopram, fluoxetine, norfluoxetine, gabapentin, lamotrigine, 2-N-glucuronide-lamotrigine, oxcarbazepine, venlafaxine and O-desmethyl-venlafaxine), were measured in treated wastewater and receiving surface waters from 24 locations across Minnesota, USA. The analysis of upstream and downstream sampling sites indicated that the wastewater treatment plants were the major source of the neuro-active pharmaceuticals and associated metabolites in surface waters of Minnesota. Concentrations of parent compound and the associated metabolite varied substantially between treatment plants (concentrations</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>standard deviation of the parent compound relative to its major metabolite) as illustrated by the following examples; bupropion and hydrobupropion 700</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1000</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 2100</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1700</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, carbamazepine and 10-hydroxy-carbamazepine 480</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>380</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 360</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>400</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, venlafaxine and&nbsp;</span><i>O</i><span>-desmethyl-venlafaxine 1400</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1300</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 1800</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>2300</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>. Metabolites of the neuro-active compounds were commonly found at higher or comparable concentrations to the parent compounds in wastewater effluent and the receiving surface water. Neuro-active pharmaceuticals and associated metabolites were detected only sporadically in samples upstream from the effluent outfall. Metabolite to parent ratios were used to evaluate transformation, and we determined that ratios in wastewater were much lower than those reported in urine, indicating that the metabolites are relatively more labile than the parent compounds in the treatment plants and in receiving waters. The widespread occurrence of neuro-active pharmaceuticals and metabolites in Minnesota effluents and surface waters indicate that this is likely a global environmental issue, and further understanding of the environmental fate and impacts of these compounds is warranted.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.04.099","usgsCitation":"Writer, J., Ferrer, I., Barber, L.B., and Thurman, E.M., 2013, Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters: Science of the Total Environment, v. 461-462, p. 519-527, https://doi.org/10.1016/j.scitotenv.2013.04.099.","productDescription":"9 p.","startPage":"519","endPage":"527","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040485","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70189900,"text":"70189900 - 2013 - Temporal and spatial variability of global water balance","interactions":[],"lastModifiedDate":"2017-09-20T15:01:20","indexId":"70189900","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of global water balance","docAbstract":"<p><span>An analysis of simulated global water-balance components (precipitation [P], actual evapotranspiration [AET], runoff [R], and potential evapotranspiration [PET]) for the past century indicates that P has been the primary driver of variability in R. Additionally, since about 2000, there have been increases in P, AET, R, and PET for most of the globe. The increases in R during 2000 through 2009 have occurred despite unprecedented increases in PET. The increases in R are the result of substantial increases in P during the cool Northern Hemisphere months (i.e. October through March) when PET increases were relatively small; the largest PET increases occurred during the warm Northern Hemisphere months (April through September). Additionally, for the 2000 through 2009 period, the latitudinal distribution of P departures appears to co-vary with the mean P departures from 16 climate model projections of the latitudinal response of P to warming, except in the high latitudes. Finally, changes in water-balance variables appear large from the perspective of departures from the long-term means. However, when put into the context of the magnitudes of the raw water balance variable values, there appears to have been little change in any of the water-balance variables over the past century on a global or hemispheric scale.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0798-0","usgsCitation":"McCabe, G., and Wolock, D.M., 2013, Temporal and spatial variability of global water balance: Climatic Change, v. 120, no. 1-2, p. 375-387, https://doi.org/10.1007/s10584-013-0798-0.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-045355","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"1-2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789364","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":706687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":706686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148139,"text":"70148139 - 2013 - A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays","interactions":[],"lastModifiedDate":"2015-05-27T14:21:13","indexId":"70148139","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays","docAbstract":"<p><span>We developed a spatial capture&ndash;recapture model to evaluate survival and activity centres (i.e., mean locations) of tagged individuals detected along a linear array. Our spatially explicit version of the Cormack&ndash;Jolly&ndash;Seber model, analyzed using a Bayesian framework, correlates movement between periods and can incorporate environmental or other covariates. We demonstrate the model using 2010 data for anadromous American shad (</span><i>Alosa sapidissima</i><span>) tagged with passive integrated transponders (PIT) at a weir near the mouth of a North Carolina river and passively monitored with an upstream array of PIT antennas. The river channel constrained migrations, resulting in linear, one-dimensional encounter histories that included both weir captures and antenna detections. Individual activity centres in a given time period were a function of the individual&rsquo;s previous estimated location and the river conditions (i.e., gage height). Model results indicate high within-river spawning mortality (mean weekly survival = 0.80) and more extensive movements during elevated river conditions. This model is applicable for any linear array (e.g., rivers, shorelines, and corridors), opening new opportunities to study demographic parameters, movement or migration, and habitat use.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0198","usgsCitation":"Raabe, J.K., Gardner, B., and Hightower, J.E., 2013, A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 1, p. 120-130, https://doi.org/10.1139/cjfas-2013-0198.","productDescription":"11 p.","startPage":"120","endPage":"130","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044001","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Little 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K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":547783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148268,"text":"70148268 - 2013 - Origin and lateral migration of linear dunes in the Qaidam Basin of NW China revealed by dune sediments, internal structures, and optically stimulated luminescence ages, with implications for linear dunes on Titan: discussion","interactions":[],"lastModifiedDate":"2015-05-27T11:01:02","indexId":"70148268","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Origin and lateral migration of linear dunes in the Qaidam Basin of NW China revealed by dune sediments, internal structures, and optically stimulated luminescence ages, with implications for linear dunes on Titan: discussion","docAbstract":"<p><a id=\"xref-ref-16-1\" class=\"xref-bibr\" href=\"http://bulletin.geoscienceworld.org/content/125/11-12/1943#ref-16\">Zhou et al. (2012)</a>&nbsp;proposed that longitudinal dunes in the Qaidam Basin, China, formed like yardangs: by erosion into sediment that was not deposited by those dunes. Because erosion occurs on the upwind flanks of most migrating dunes (<a id=\"xref-ref-13-1\" class=\"xref-bibr\" href=\"http://bulletin.geoscienceworld.org/content/125/11-12/1943#ref-13\">Rubin and Hunter, 1982</a>,&nbsp;<a id=\"xref-ref-14-1\" class=\"xref-bibr\" href=\"http://bulletin.geoscienceworld.org/content/125/11-12/1943#ref-14\">1985</a>), the key to demonstrating a yardang-like origin is to show that the dunes did not deposit the strata that they contain. Zhou et al. made this argument by proposing that:</p>\n<ul id=\"list-1\" class=\"list-simple \">\n<li id=\"list-item-1\">\n<p id=\"p-2\">(1) The dunes have not deposited cross-strata in the past 810 yr.</p>\n</li>\n<li id=\"list-item-2\">\n<p id=\"p-3\">(2) Cross-bedding within the dunes was not deposited by the dunes on the present-day land surface, but rather by older dunes that had a different morphology.</p>\n</li>\n<li id=\"list-item-3\">\n<p id=\"p-4\">(3) The present dunes are a later generation, &ldquo;most likely of erosional origin similar to yardangs with orientations controlled by strikes of joints,&rdquo; (p. 1147).</p>\n</li>\n<li id=\"list-item-4\">\n<p id=\"p-5\">(4) Rates of deflation in the dune field have been extremely high for the past 810&ndash;2440 yr.</p>\n</li>\n</ul>\n<p id=\"p-6\">This commentary reviews these conclusions, reviews contradictory observations, and considers alternative interpretations.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30780.1","usgsCitation":"Rubin, D.M., and Rubin, A.M., 2013, Origin and lateral migration of linear dunes in the Qaidam Basin of NW China revealed by dune sediments, internal structures, and optically stimulated luminescence ages, with implications for linear dunes on Titan: discussion: GSA Bulletin, v. 125, no. 11-12, p. 1943-1946, https://doi.org/10.1130/B30780.1.","productDescription":"4 p.","startPage":"1943","endPage":"1946","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039452","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"5566eadfe4b0d9246a9ec2f7","contributors":{"authors":[{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, Alan M.","contributorId":140936,"corporation":false,"usgs":false,"family":"Rubin","given":"Alan","email":"","middleInitial":"M.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":547636,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148278,"text":"70148278 - 2013 - Near-field tsunami edge waves and complex earthquake rupture","interactions":[],"lastModifiedDate":"2015-05-27T10:28:27","indexId":"70148278","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Near-field tsunami edge waves and complex earthquake rupture","docAbstract":"<p><span>The effect of distributed coseismic slip on progressive, near-field edge waves is examined for continental shelf tsunamis. Detailed observations of edge waves are difficult to separate from the other tsunami phases that are observed on tide gauge records. In this study, analytic methods are used to compute tsunami edge waves distributed over a finite number of modes and for uniformly sloping bathymetry. Coseismic displacements from static elastic theory are introduced as initial conditions in calculating the evolution of progressive edge-waves. Both simple crack representations (constant stress drop) and stochastic slip models (heterogeneous stress drop) are tested on a fault with geometry similar to that of the&nbsp;</span><i class=\"a-plus-plus\">M</i><span>&nbsp;</span><span class=\"a-plus-plus\">w</span><span>&nbsp;=&nbsp;8.8 2010 Chile earthquake. Crack-like ruptures that are beneath or that span the shoreline result in similar longshore patterns of maximum edge-wave amplitude. Ruptures located farther offshore result in reduced edge-wave excitation, consistent with previous studies. Introduction of stress-drop heterogeneity by way of stochastic slip models results in significantly more variability in longshore edge-wave patterns compared to crack-like ruptures for the same offshore source position. In some cases, regions of high slip that are spatially distinct will yield sub-events, in terms of tsunami generation. Constructive interference of both non-trapped and trapped waves can yield significantly larger tsunamis than those that produced by simple earthquake characterizations.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-012-0491-7","usgsCitation":"Geist, E.L., 2013, Near-field tsunami edge waves and complex earthquake rupture: Pure and Applied Geophysics, v. 170, no. 9-10, p. 1475-1491, https://doi.org/10.1007/s00024-012-0491-7.","productDescription":"27 p.","startPage":"1475","endPage":"1491","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036607","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"9-10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-22","publicationStatus":"PW","scienceBaseUri":"5566eadee4b0d9246a9ec2f5","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":547653,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70143408,"text":"70143408 - 2013 - Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America","interactions":[],"lastModifiedDate":"2015-03-19T09:18:56","indexId":"70143408","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America","docAbstract":"<p><span>Extreme weather continues to preoccupy society as a formidable public safety concern bearing huge economic costs. While attention has focused on global climate change and how it could intensify key elements of the water cycle such as precipitation and river discharge, it is the conjunction of geophysical and socioeconomic forces that shapes human sensitivity and risks to weather extremes. We demonstrate here the use of high-resolution geophysical and population datasets together with documentary reports of rainfall-induced damage across South America over a multi-decadal, retrospective time domain (1960&ndash;2000). We define and map extreme precipitation&nbsp;</span><i>hazard</i><span>,&nbsp;</span><i>exposure</i><span>,&nbsp;</span><i>affected</i><span>populations,&nbsp;</span><i>vulnerability</i><span>&nbsp;and&nbsp;</span><i>risk</i><span>, and use these variables to analyse the impact of floods as a water security issue. Geospatial experiments uncover major sources of risk from natural climate variability and population growth, with change in climate extremes bearing a minor role. While rural populations display greatest relative sensitivity to extreme rainfall, urban settings show the highest rates of increasing risk. In the coming decades, rapid urbanization will make South American cities the focal point of future climate threats but also an opportunity for reducing vulnerability, protecting lives and sustaining economic development through both traditional and ecosystem-based disaster risk management systems.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2012.0408","usgsCitation":"Vorosmarty, C.J., de Guenni, L.B., Wollheim, W.M., Pellerin, B.A., Bjerklie, D.M., Cardoso, M., D’Almeida, C., and Colon, L., 2013, Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, no. 371, 17 p., https://doi.org/10.1098/rsta.2012.0408.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043036","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":298738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.84765625,\n              -55.27911529201562\n            ],\n            [\n              -83.84765625,\n              13.581920900545844\n            ],\n            [\n              -34.62890625,\n              13.581920900545844\n            ],\n            [\n              -34.62890625,\n              -55.27911529201562\n            ],\n            [\n              -83.84765625,\n              -55.27911529201562\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"371","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","scienceBaseUri":"550bf32fe4b02e76d759cdea","contributors":{"authors":[{"text":"Vorosmarty, Charles J.","contributorId":139738,"corporation":false,"usgs":false,"family":"Vorosmarty","given":"Charles","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Guenni, Lelys Bravo","contributorId":139740,"corporation":false,"usgs":false,"family":"de Guenni","given":"Lelys","email":"","middleInitial":"Bravo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wollheim, Wilfred M.","contributorId":139742,"corporation":false,"usgs":false,"family":"Wollheim","given":"Wilfred","email":"","middleInitial":"M.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":542718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardoso, Manoel","contributorId":139741,"corporation":false,"usgs":false,"family":"Cardoso","given":"Manoel","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542717,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D’Almeida, Cassiano","contributorId":139743,"corporation":false,"usgs":false,"family":"D’Almeida","given":"Cassiano","email":"","affiliations":[{"id":12900,"text":"National Council for Scientific and Technological Development (CNPq)","active":true,"usgs":false}],"preferred":false,"id":542719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Colon, Lilybeth","contributorId":139744,"corporation":false,"usgs":false,"family":"Colon","given":"Lilybeth","email":"","affiliations":[{"id":12901,"text":"City College of New York, Civil Engineering","active":true,"usgs":false}],"preferred":false,"id":542720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193599,"text":"70193599 - 2013 - Discussion: Numerical study on the entrainment of bed material into rapid landslides","interactions":[],"lastModifiedDate":"2021-03-16T12:54:01.397544","indexId":"70193599","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1825,"text":"Geotechnique","active":true,"publicationSubtype":{"id":10}},"title":"Discussion: Numerical study on the entrainment of bed material into rapid landslides","docAbstract":"<p>A paper recently published in this journal (Pirulli &amp; Pastor, 2012) uses numerical modelling to study the important problem of entrainment of bed material by landslides. Unfortunately, some of the basic equations employed in the study are flawed, because they violate the principle of linear momentum conservation. Similar errors exist in some other studies of entrainment, and the errors appear to stem from confusion about the role of bed-sediment inertia in differing frames of reference.<br></p>","language":"English","publisher":"ICE Publishing","doi":"10.1680/geot.12.D.007","usgsCitation":"Iverson, R.M., 2013, Discussion: Numerical study on the entrainment of bed material into rapid landslides: Geotechnique, v. 63, no. 10, p. 887-888, https://doi.org/10.1680/geot.12.D.007.","productDescription":"2 p.","startPage":"887","endPage":"888","numberOfPages":"2","ipdsId":"IP-043297","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ef0ae4b09af898c8cd7b","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":720844,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045550,"text":"70045550 - 2013 - Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau","interactions":[],"lastModifiedDate":"2014-01-08T10:27:59","indexId":"70045550","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau","docAbstract":"Soil surface temperature is a critical boundary condition for the simulation of soil temperature by environmental models. It is influenced by atmospheric and soil conditions and by vegetation cover. In sophisticated land surface models, it is simulated iteratively by solving surface energy budget equations. In ecosystem, permafrost, and hydrology models, the consideration of soil surface temperature is generally simple. In this study, we developed a methodology for representing the effects of vegetation cover and atmospheric factors on the estimation of soil surface temperature for alpine grassland ecosystems on the Qinghai-Tibetan Plateau. Our approach integrated measurements from meteorological stations with simulations from a sophisticated land surface model to develop an equation set for estimating soil surface temperature. After implementing this equation set into an ecosystem model and evaluating the performance of the ecosystem model in simulating soil temperature at different depths in the soil profile, we applied the model to simulate interactions among vegetation cover, freeze-thaw cycles, and soil erosion to demonstrate potential applications made possible through the implementation of the methodology developed in this study. Results showed that (1) to properly estimate daily soil surface temperature, algorithms should use air temperature, downward solar radiation, and vegetation cover as independent variables; (2) the equation set developed in this study performed better than soil surface temperature algorithms used in other models; and (3) the ecosystem model performed well in simulating soil temperature throughout the soil profile using the equation set developed in this study. Our application of the model indicates that the representation in ecosystem models of the effects of vegetation cover on the simulation of soil thermal dynamics has the potential to substantially improve our understanding of the vulnerability of alpine grassland ecosystems to changes in climate and grazing regimes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20093","usgsCitation":"Yi, S., Li, N., Xiang, B., Wang, X., Ye, B., and McGuire, A., 2013, Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 1186-1199, https://doi.org/10.1002/jgrg.20093.","productDescription":"14 p.","startPage":"1186","endPage":"1199","numberOfPages":"14","ipdsId":"IP-042137","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":280703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280702,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20093"}],"country":"China","state":"Qinghai;Tibet","otherGeospatial":"Qinghai-tibetan Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75.0,20.0 ], [ 75.0,40.0 ], [ 105.0,40.0 ], [ 105.0,20.0 ], [ 75.0,20.0 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"53cd707ae4b0b2908510711d","contributors":{"authors":[{"text":"Yi, S.","contributorId":33936,"corporation":false,"usgs":false,"family":"Yi","given":"S.","email":"","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":477827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, N.","contributorId":64551,"corporation":false,"usgs":true,"family":"Li","given":"N.","email":"","affiliations":[],"preferred":false,"id":477829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiang, B.","contributorId":15515,"corporation":false,"usgs":true,"family":"Xiang","given":"B.","affiliations":[],"preferred":false,"id":477824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, X.","contributorId":22076,"corporation":false,"usgs":true,"family":"Wang","given":"X.","email":"","affiliations":[],"preferred":false,"id":477826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ye, B.","contributorId":55329,"corporation":false,"usgs":true,"family":"Ye","given":"B.","email":"","affiliations":[],"preferred":false,"id":477828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":477825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70137560,"text":"70137560 - 2013 - Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois","interactions":[],"lastModifiedDate":"2015-06-05T15:06:17","indexId":"70137560","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":3875,"text":"Illinois Center for Transportation Series","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"FHWA‐ICT‐13‐025","title":"Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois","docAbstract":"<p><span>The Scour Rate In COhesive Soils-Erosion Function Apparatus (SRICOS-EFA) method includes an ultimate scour prediction that is the equilibrium maximum pier and contraction scour of cohesive soils over time. The purpose of this report is to present the results of testing the ultimate pier and contraction scour methods for cohesive soils on 30 bridge sites in Illinois. Comparison of the ultimate cohesive and noncohesive methods, along with the Illinois Department of Transportation (IDOT) cohesive soil reduction-factor method and measured scour are presented. Also, results of the comparison of historic IDOT laboratory and field values of unconfined compressive strength of soils (Qu) are presented. The unconfined compressive strength is used in both ultimate cohesive and reduction-factor methods, and knowing how the values from field methods compare to the laboratory methods is critical to the informed application of the methods. On average, the non-cohesive method results predict the highest amount of scour, followed by the reduction-factor method results; and the ultimate cohesive method results predict the lowest amount of scour. The 100-year scour predicted for the ultimate cohesive, noncohesive, and reduction-factor methods for each bridge site and soil are always larger than observed scour in this study, except 12% of predicted values that are all within 0.4 ft of the observed scour. The ultimate cohesive scour prediction is smaller than the non-cohesive scour prediction method for 78% of bridge sites and soils. Seventy-six percent of the ultimate cohesive predictions show a 45% or greater reduction from the non-cohesive predictions that are over 10 ft. Comparing the ultimate cohesive and reduction-factor 100-year scour predictions methods for each bridge site and soil, the scour predicted by the ultimate cohesive scour prediction method is less than the reduction-factor 100-year scour prediction method for 51% of bridge sites and soils. Critical shear stress remains a needed parameter in the ultimate scour prediction for cohesive soils. The unconfined soil compressive strength measured by IDOT in the laboratory was found to provide a good prediction of critical shear stress, as measured by using the erosion function apparatus in a previous study. Because laboratory Qu analyses are time-consuming and expensive, the ability of field-measured Rimac data to estimate unconfined soil strength in the critical shear&ndash;soil strength relation was tested. A regression analysis was completed using a historic IDOT dataset containing 366 data pairs of laboratory Qu and field Rimac measurements from common sites with cohesive soils. The resulting equations provide a point prediction of Qu, given any Rimac value with the 90% confidence interval. The prediction equations are not significantly different from the identity Qu = Rimac. The alternative predictions of ultimate cohesive scour presented in this study assume Qu will be estimated using Rimac measurements that include computed uncertainty. In particular, the ultimate cohesive predicted scour is greater than observed scour for the entire 90% confidence interval range for predicting Qu at the bridges and soils used in this study, with the exception of the six predicted values that are all within 0.6 ft of the observed scour.</span></p>","language":"English","publisher":"Illinois Center for Transportation","usgsCitation":"Straub, T., Over, T.M., and Domanski, M.M., 2013, Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois: Illinois Center for Transportation Series FHWA‐ICT‐13‐025, iii, 40 p.","productDescription":"iii, 40 p.","numberOfPages":"49","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040456","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":298770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297093,"type":{"id":15,"text":"Index 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tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537905,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187361,"text":"70187361 - 2013 - Status of exotic grasses and grass-like vegetation and potential impacts on wildlife in New England","interactions":[],"lastModifiedDate":"2017-05-01T13:00:18","indexId":"70187361","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Status of exotic grasses and grass-like vegetation and potential impacts on wildlife in New England","docAbstract":"<p><span>The Northeastern section of the United States, known as New England, has seen vast changes in land cover and human population over the past 3 centuries. Much of the region is forested; grasslands and other open-land cover types are less common, but provide habitat for many species that are currently declining in abundance and distribution. New England also consists of some of the most densely populated and developed states in the country. The origin, distribution, and spread of exotic species are highly correlated with human development. As such, exotics are common throughout much of New England, including several species of graminoids (grasses and grass-like plants such as sedges and rushes). Several of the more invasive grass species can form expansive dense mats that exclude native plants, alter ecosystem structure and functions, and are perceived to provide little-to-no value as wildlife food or cover. Although little research has been conducted on direct impacts of exotic graminoids on wildlife populations in New England, several studies on the common reed (</span><i>Phragmites australis</i><span>) in salt marshes have shown this species to have variable effects as cover for birds and other wildlife, depending on the distribution of the plant (e.g., patches and borders of reeds are used more by wildlife than expansive densely growing stands). Direct impacts of other grasses on wildlife populations are largely unknown. However, many of the invasive graminoid species that are present in New England have the capability of outcompeting native plants and thereby potentially affecting associated fauna. Preservation, protection, and restoration of grassland and open-land cover types are complex but necessary challenges in the region to maintain biological and genetic diversity of grassland, wetland, and other open-land obligate species. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.305","usgsCitation":"DeStefano, S., 2013, Status of exotic grasses and grass-like vegetation and potential impacts on wildlife in New England: Wildlife Society Bulletin, v. 37, no. 3, p. 486-496, https://doi.org/10.1002/wsb.305.","productDescription":"11 p.","startPage":"486","endPage":"496","ipdsId":"IP-040386","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500020,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/1946de16fbac4593b8d7307318ed1792","text":"External Repository"},{"id":340676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-02","publicationStatus":"PW","scienceBaseUri":"59084935e4b0fc4e448ffd96","contributors":{"authors":[{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187392,"text":"70187392 - 2013 - Capacity, pressure, demand, and flow: A conceptual framework for analyzing ecosystem service provision and delivery","interactions":[],"lastModifiedDate":"2017-05-01T12:19:25","indexId":"70187392","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1452,"text":"Ecological Complexity","active":true,"publicationSubtype":{"id":10}},"title":"Capacity, pressure, demand, and flow: A conceptual framework for analyzing ecosystem service provision and delivery","docAbstract":"<p><span>Ecosystem services provide an instinctive way to understand the trade-offs associated with natural resource management. However, despite their apparent usefulness, several hurdles have prevented ecosystem services from becoming deeply embedded in environmental decision-making. Ecosystem service studies vary widely in focal services, geographic extent, and in methods for defining and measuring services. Dissent among scientists on basic terminology and approaches to evaluating ecosystem services create difficulties for those trying to incorporate ecosystem services into decision-making. To facilitate clearer comparison among recent studies, we provide a synthesis of common terminology and explain a rationale and framework for distinguishing among the components of ecosystem service delivery, including: an ecosystem's capacity to produce services; ecological pressures that interfere with an ecosystem's ability to provide the service; societal demand for the service; and flow of the service to people. We discuss how interpretation and measurement of these four components can differ among provisioning, regulating, and cultural services. Our flexible framework treats service capacity, ecological pressure, demand, and flow as separate but interactive entities to improve our ability to evaluate the sustainability of service provision and to help guide management decisions. We consider ecosystem service provision to be sustainable when demand is met without decreasing capacity for future provision of that service or causing undesirable declines in other services. When ecosystem service demand exceeds ecosystem capacity to provide services, society can choose to enhance natural capacity, decrease demand and/or ecological pressure, or invest in a technological substitute. Because regulating services are frequently overlooked in environmental assessments, we provide a more detailed examination of regulating services and propose a novel method for quantifying the flow of regulating services based on estimates of ecological work. We anticipate that our synthesis and framework will reduce inconsistency and facilitate coherence across analyses of ecosystem services, thereby increasing their utility in environmental decision-making.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecocom.2013.07.004","usgsCitation":"Villamagna, A., Angermeier, P.L., and Bennett, E.M., 2013, Capacity, pressure, demand, and flow: A conceptual framework for analyzing ecosystem service provision and delivery: Ecological Complexity, v. 15, p. 114-121, https://doi.org/10.1016/j.ecocom.2013.07.004.","productDescription":"8 p.","startPage":"114","endPage":"121","ipdsId":"IP-038232","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084935e4b0fc4e448ffd94","contributors":{"authors":[{"text":"Villamagna, Amy M.","contributorId":166683,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy M.","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":693735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":693734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Elena M.","contributorId":191658,"corporation":false,"usgs":false,"family":"Bennett","given":"Elena","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189243,"text":"70189243 - 2013 - U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","interactions":[],"lastModifiedDate":"2017-07-06T12:33:05","indexId":"70189243","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","docAbstract":"<p id=\"sp0005\">As part of the Geologic Waste Management Facility feasibility study, Atomic Energy of Canada Ltd. (AECL) is evaluating the suitability of the Chalk River Laboratories (CRL) site in Ontario, situated in crystalline rock of the southwestern Grenville Province, for the possible development of an underground repository for low- and intermediate-level nuclear waste. This paper presents petrographic and trace element analyses, U–Pb zircon dating results, and Rb–Sr, U–Pb and U-series isotopic analyses of gneissic drill core samples from the deep CRG-series characterization boreholes at the CRL site. The main rock types intersected in the boreholes include hornblende–biotite (±pyroxene) gneisses of granitic to granodioritic composition, leucocratic granitic gneisses with sparse mafic minerals, and garnet-bearing gneisses with variable amounts of biotite and/or hornblende. The trace element data for whole-rock samples plot in the fields of within-plate, syn-collision, and volcanic arc-type granites in discrimination diagrams used for the tectonic interpretation of granitic rocks.</p><p id=\"sp0010\">Zircons separated from biotite gneiss and metagranite samples yielded SHRIMP-RG U–Pb ages of 1472&nbsp;±&nbsp;14 (2<i>σ</i>) and 1045&nbsp;±&nbsp;6&nbsp;Ma, respectively, in very good agreement with widespread Early Mesoproterozoic plutonic ages and Ottawan orogeny ages in the Central Gneiss Belt. The Rb–Sr, U–Pb, and Pb–Pb whole-rock errorchron apparent ages of most of the CRL gneiss samples are consistent with zircon U–Pb age and do not indicate substantial large-scale preferential element mobility during superimposed metamorphic and water/rock interaction processes. This may confirm the integrity of the rock mass, which is a positive attribute for a potential nuclear waste repository. Most<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U activity ratios (AR) in whole rock samples are within errors of the secular equilibrium value of one, indicating that the rocks have not experienced any appreciable U loss or gain within the past 1&nbsp;Ma. However,<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U AR in fracture mineral samples collected down to borehole lengths of about 740&nbsp;m deviate from the secular equilibrium value and<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U model ages calculated for fracture mineral samples showing excess<span>&nbsp;</span><sup>234</sup>U range from 593 to 1415&nbsp;ka, thus providing evidence of fracture flow in the associated bedrock during the past 1.5&nbsp;Ma. Rare earth element patterns are variable in fracture-filling calcites and Fe oxides/hydroxides but are similar to those observed in associated whole-rock samples. The observed Ce anomalies are very small (<span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow></msub><mo is=&quot;true&quot;>/</mo><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2217;</mo></mrow></msubsup><mo is=&quot;true&quot;>&amp;#x2248;</mo><mn is=&quot;true&quot;>1</mn></mrow></math>\"><span class=\"MJX_Assistive_MathML\">CeN/CeN∗≈1</span></span>), do not vary with depth, and, therefore, do not contain evidence that the studied fracture minerals precipitated from oxidizing waters at the conceptual depth of a repository.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2013.06.004","usgsCitation":"Neymark, L., Peterman, Z., Moscati, R.J., and Thivierge, R.H., 2013, U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada: Applied Geochemistry, v. 36, p. 10-33, https://doi.org/10.1016/j.apgeochem.2013.06.004.","productDescription":"24 p.","startPage":"10","endPage":"33","ipdsId":"IP-038522","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Grenville Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e366","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":620,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell E.","email":"peterman@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":703698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":703699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thivierge, R. H.","contributorId":194312,"corporation":false,"usgs":false,"family":"Thivierge","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148160,"text":"70148160 - 2013 - Mapping risk for nest predation on a barrier island","interactions":[],"lastModifiedDate":"2015-05-27T11:12:04","indexId":"70148160","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Mapping risk for nest predation on a barrier island","docAbstract":"<p><span>Barrier islands and coastal beach systems provide nesting habitat for marine and estuarine turtles. Densely settled coastal areas may subsidize nest predators. Our purpose was to inform conservation by providing a greater understanding of habitat-based risk factors for nest predation, for an estuarine turtle. We expected that habitat conditions at predated nests would differ from random locations at two spatial extents. We developed and validated an island-wide model for the distribution of predated Diamondback terrapin nests using locations of 198 predated nests collected during exhaustive searches at Fisherman Island National Wildlife&nbsp;</span><a class=\"reference-link webtrekk-track\" href=\"http://link.springer.com/search?dc.title=Refuge&amp;facet-content-type=ReferenceWorkEntry&amp;sortOrder=relevance\">Refuge</a><span>, USA. We used aerial photographs to identify all areas of possible nesting habitat and searched each and surrounding environments for nests, collecting location and random-point microhabitat data. We built models for the probability of finding a predated nest using an equal number of random points and validated them with a reserve set (</span><i class=\"a-plus-plus\">N</i><span>&thinsp;=&thinsp;67). Five variables in 9 a priori models were used and the best selected model (AIC weight 0.98) reflected positive associations with sand patches near marshes and roadways. Model validation had an average capture rate of predated nests of 84.14&nbsp;% (26.17&ndash;97.38&nbsp;%, Q1 77.53&nbsp;%, median 88.07&nbsp;%, Q3 95.08&nbsp;%). Microhabitat selection results suggest that nests placed at the edges of sand patches adjacent to upland shrub/forest and marsh systems are vulnerable to predation. Forests and marshes provide cover and alternative resources for predators and roadways provide access; a suggestion is to focus nest protection efforts on the edges of dunes, near dense vegetation and roads.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11852-013-0260-5","usgsCitation":"Hackney, A.D., Baldwin, R.F., and Jodice, P.G., 2013, Mapping risk for nest predation on a barrier island: Journal of Coastal Conservation, v. 17, no. 3, p. 615-621, https://doi.org/10.1007/s11852-013-0260-5.","productDescription":"7 p.","startPage":"615","endPage":"621","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045886","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Fisherman Island National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.98505020141602,\n              37.0818864912263\n            ],\n            [\n              -75.98505020141602,\n              37.11241953906062\n            ],\n            [\n              -75.93732833862305,\n              37.11241953906062\n            ],\n            [\n              -75.93732833862305,\n              37.0818864912263\n            ],\n            [\n              -75.98505020141602,\n              37.0818864912263\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-08","publicationStatus":"PW","scienceBaseUri":"5566eadde4b0d9246a9ec2f3","contributors":{"authors":[{"text":"Hackney, Amanda D.","contributorId":140958,"corporation":false,"usgs":false,"family":"Hackney","given":"Amanda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Robert F.","contributorId":96415,"corporation":false,"usgs":true,"family":"Baldwin","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":547730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":547731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154965,"text":"70154965 - 2013 - Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>)","interactions":[],"lastModifiedDate":"2015-07-22T10:42:54","indexId":"70154965","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>)","docAbstract":"<p><span>Animal movements and habitat selection within the home range, or microhabitat selection, can provide insights into habitat requirements, such as foraging and area requirements. The King Rail (</span><i>Rallus elegans</i><span>) is a wetland bird of high conservation concern in the United States, but little is known about its movements, habitats, or demography. King Rails (</span><i>n</i><span>&nbsp;= 34) were captured during the 2010&ndash;2011 breeding seasons in the coastal marshes of southwest Louisiana and southeast Texas. Radio telemetry and direct habitat surveys of King Rail locations were conducted to estimate home ranges and microhabitat selection. Within home ranges, King Rails selected for greater plant species richness and comparatively greater coverage of&nbsp;</span><i>Phragmites australis</i><span>,&nbsp;</span><i>Typha</i><span>&nbsp;spp., and&nbsp;</span><i>Schoenoplectus robustus</i><span>. King Rails were found closer to open water compared to random locations placed 50 m from King Rail locations. Home ranges (</span><i>n</i><span>&nbsp;= 22) varied from 0.8&ndash;32.8 ha and differed greatly among sites. Home range size did not vary by year or sex; however, increased open water, with a maximum of 29% observed in the study, was correlated with smaller home ranges. Breeding season cumulative survivorship was 89% &plusmn; 22% in 2010 and 61% &plusmn; 43% in 2011, which coincided with a drought. With an equal search effort, King Rail chicks and juveniles observed in May-June decreased from 110 in 2010 to only 16 in the drier year of 2011. The findings show King Rail used marsh with &le; 29% open water and had smaller home ranges when open water was more abundant.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0309","usgsCitation":"Pickens, B.A., and King, S.L., 2013, Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>): Waterbirds, v. 36, no. 3, p. 319-329, https://doi.org/10.1675/063.036.0309.","productDescription":"11 p.","startPage":"319","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Cameron Prairie National Wildlife Refuge; JD Murphree Wildlife Management Area; McFaddin National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.11187744140625,\n              29.864465259258\n            ],\n            [\n              -93.11187744140625,\n              29.973970240516614\n            ],\n            [\n              -92.98004150390625,\n              29.973970240516614\n            ],\n            [\n              -92.98004150390625,\n              29.864465259258\n            ],\n            [\n              -93.11187744140625,\n              29.864465259258\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.13154602050781,\n              29.82813541108161\n            ],\n            [\n              -94.13154602050781,\n              29.956719300555342\n            ],\n            [\n              -93.95027160644531,\n              29.956719300555342\n            ],\n            [\n              -93.95027160644531,\n              29.82813541108161\n            ],\n            [\n              -94.13154602050781,\n              29.82813541108161\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.48791503906249,\n              29.5232805008286\n            ],\n            [\n              -94.48791503906249,\n              29.740532166753606\n            ],\n            [\n              -94.16656494140625,\n              29.740532166753606\n            ],\n            [\n              -94.16656494140625,\n              29.5232805008286\n            ],\n            [\n              -94.48791503906249,\n              29.5232805008286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309c","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":565295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70150422,"text":"70150422 - 2013 - Frameworks for amending reservoir water management","interactions":[],"lastModifiedDate":"2015-06-24T14:47:31","indexId":"70150422","displayToPublicDate":"2013-09-01T00:00:00","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":"Frameworks for amending reservoir water management","docAbstract":"<p><span>Managing water storage and withdrawals in many reservoirs requires establishing seasonal targets for water levels (i.e., rule curves) that are influenced by regional precipitation and diverse water demands. Rule curves are established as an attempt to balance various water needs such as flood control, irrigation, and environmental benefits such as fish and wildlife management. The processes and challenges associated with amending rule curves to balance multiuse needs are complicated and mostly unfamiliar to non-US Army Corps of Engineers (USACE) natural resource managers and to the public. To inform natural resource managers and the public we describe the policies and process involved in amending rule curves in USACE reservoirs, including 3 frameworks: a general investigation, a continuing authority program, and the water control plan. Our review suggests that water management in reservoirs can be amended, but generally a multitude of constraints and competing demands must be addressed before such a change can be realized.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.829893","usgsCitation":"Mower, E., and Miranda, L.E., 2013, Frameworks for amending reservoir water management: Lake and Reservoir Management, v. 29, no. 3, p. 194-201, https://doi.org/10.1080/10402381.2013.829893.","productDescription":"8 p.","startPage":"194","endPage":"201","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041864","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bd4b8e4b0b6d21dd65301","contributors":{"authors":[{"text":"Mower, Ethan","contributorId":143702,"corporation":false,"usgs":false,"family":"Mower","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":556838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":556836,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176296,"text":"70176296 - 2013 - Effects of riparian vegetation on topographic change during a large flood event, Rio Puerco, New Mexico, USA","interactions":[],"lastModifiedDate":"2017-02-08T14:07:29","indexId":"70176296","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Effects of riparian vegetation on topographic change during a large flood event, Rio Puerco, New Mexico, USA","docAbstract":"<p><span>The spatial distribution of riparian vegetation can strongly influence the geomorphic evolution of dryland rivers during large floods. We present the results of an airborne lidar differencing study that quantifies the topographic change that occurred along a 12 km reach of the Lower Rio Puerco, New Mexico, during an extreme event in 2006. Extensive erosion of the channel banks took place immediately upstream of the study area, where tamarisk and sandbar willow had been removed. Within the densely vegetated study reach, we measure a net volumetric change of 578,050 ± ∼ 490,000 m</span><sup>3</sup><span>, with 88.3% of the total aggradation occurring along the floodplain and channel and 76.7% of the erosion focusing on the vertical valley walls. The sediment derived from the devegetated reach deposited within the first 3.6 km of the study area, with depth decaying exponentially with distance downstream. Elsewhere, floodplain sediments were primarily sourced from the erosion of valley walls. Superimposed on this pattern are the effects of vegetation and valley morphology on sediment transport. Sediment thickness is seen to be uniform among sandbar willows and highly variable within tamarisk groves. These reach-scale patterns of sedimentation observed in the lidar differencing likely reflect complex interactions of vegetation, flow, and sediment at the scale of patches to individual plants.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/jgrf.20073","usgsCitation":"Perignon, M., Tucker, G., Griffin, E.R., and Friedman, J.M., 2013, Effects of riparian vegetation on topographic change during a large flood event, Rio Puerco, New Mexico, USA: Journal of Geophysical Research F: Earth Surface, v. 118, no. 3, p. 1193-1209, https://doi.org/10.1002/jgrf.20073.","productDescription":"17 p.","startPage":"1193","endPage":"1209","ipdsId":"IP-039487","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473580,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrf.20073","text":"Publisher Index Page"},{"id":328336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335012,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72N50CM","text":"Lower Rio Puerco geospatial data, 1935 - 2014"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco","volume":"118","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-02","publicationStatus":"PW","scienceBaseUri":"57d13a3ae4b0571647cf8dcb","contributors":{"authors":[{"text":"Perignon, M. C. ","contributorId":174411,"corporation":false,"usgs":false,"family":"Perignon","given":"M. C. ","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":648277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":648278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":648245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155224,"text":"70155224 - 2013 - Female elk contacts are neither frequency nor density dependent","interactions":[],"lastModifiedDate":"2015-08-05T09:52:37","indexId":"70155224","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Female elk contacts are neither frequency nor density dependent","docAbstract":"<p><span>Identifying drivers of contact rates among individuals is critical to understanding disease dynamics and implementing targeted control measures. We studied the interaction patterns of 149 female elk (</span><i>Cervus canadensis</i><span>) distributed across five different regions of western Wyoming over three years, defining a contact as an approach within one body length (&sim;2 m). Using hierarchical models that account for correlations within individuals, pairs, and groups, we found that pairwise contact rates within a group declined by a factor of three as group sizes increased 33-fold. Per capita contact rates, however, increased with group size according to a power function, such that female elk contact rates fell in between the predictions of density- or frequency-dependent disease models. We found similar patterns for the duration of contacts. Our results suggest that larger elk groups are likely to play a disproportionate role in the disease dynamics of directly transmitted infections in elk. Supplemental feeding of elk had a limited impact on pairwise interaction rates and durations, but per capita rates were more than two times higher on feeding grounds. Our statistical approach decomposes the variation in contact rate into individual, dyadic, and environmental effects, and provides insight into factors that may be targeted by disease control programs. In particular, female elk contact patterns were driven more by environmental factors such as group size than by either individual or dyad effects.</span><br /><br /></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-2086.1","usgsCitation":"Cross, P.C., Creech, T., Ebinger, M.R., Manlove, K.R., Irvine, K.M., Henningsen, J., Rogerson, J., Scurlock, B.M., and Creely, S., 2013, Female elk contacts are neither frequency nor density dependent: Ecology, v. 94, no. 9, p. 2076-2086, https://doi.org/10.1890/12-2086.1.","productDescription":"11 p.","startPage":"2076","endPage":"2086","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042556","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473581,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/12-2086.1","text":"External Repository"},{"id":306421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              42.407234661551875\n            ],\n            [\n              -111.0498046875,\n              44.06390660801779\n            ],\n            [\n              -108.753662109375,\n              44.06390660801779\n            ],\n            [\n              -108.753662109375,\n              42.407234661551875\n            ],\n            [\n              -111.0498046875,\n              42.407234661551875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"94","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333ade4b033ef52106a93","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creech, Tyler G.","contributorId":89422,"corporation":false,"usgs":true,"family":"Creech","given":"Tyler G.","affiliations":[],"preferred":false,"id":565176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manlove, Kezia R.","contributorId":74651,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":565174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henningsen, John C.","contributorId":8358,"corporation":false,"usgs":true,"family":"Henningsen","given":"John C.","affiliations":[],"preferred":false,"id":565172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogerson, Jared D.","contributorId":106401,"corporation":false,"usgs":true,"family":"Rogerson","given":"Jared D.","affiliations":[],"preferred":false,"id":565173,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":565177,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Creely, Scott","contributorId":16044,"corporation":false,"usgs":true,"family":"Creely","given":"Scott","email":"","affiliations":[],"preferred":false,"id":565178,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70047932,"text":"70047932 - 2013 - Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes","interactions":[],"lastModifiedDate":"2013-08-30T16:21:29","indexId":"70047932","displayToPublicDate":"2013-08-30T16:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes","docAbstract":"The Hawaiian Islands are the most geologically studied hot-spot islands in the world yet surprisingly, the only large-scale compilation of marine and land gravity data is more than 45 years old. Early surveys served as reconnaissance studies only, and detailed analyses of the crustal-density structure have been limited. Here we present a new chain-wide gravity compilation that incorporates historical island surveys, recently published work on the islands of Hawai‘i, Kaua‘i, and Ni‘ihau, and >122,000 km of newly compiled marine gravity data. Positive residual gravity anomalies reflect dense intrusive bodies, allowing us to locate current and former volcanic centers, major rift zones, and a previously suggested volcano on Ka‘ena Ridge. By inverting the residual gravity data, we generate a 3-D view of the dense, intrusive complexes and olivine-rich cumulate cores within individual volcanoes and rift zones. We find that the Hāna and Ka‘ena ridges are underlain by particularly high-density intrusive material (>2.85 g/cm<sup>3</sup>) not observed beneath other Hawaiian rift zones. Contrary to previous estimates, volcanoes along the chain are shown to be composed of a small proportion of intrusive material (<30% by volume), implying that the islands are predominately built extrusively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","usgsCitation":"Flinders, A., Ito, G., Garcia, M.O., Sinton, J.M., Kauahikaua, J., and Taylor, B., 2013, Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes: Geophysical Research Letters, v. 40, no. 13, p. 3367-3373.","productDescription":"7 p.","startPage":"3367","endPage":"3373","ipdsId":"IP-048832","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277198,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/grl.50633/abstract"},{"id":277224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","volume":"40","issue":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0e8e4b001cbb8a34e9b","contributors":{"authors":[{"text":"Flinders, Ashton F.","contributorId":53276,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton F.","affiliations":[],"preferred":false,"id":483325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ito, Garrett","contributorId":67396,"corporation":false,"usgs":true,"family":"Ito","given":"Garrett","email":"","affiliations":[],"preferred":false,"id":483326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":483324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sinton, John M. 0000-0003-0883-5013","orcid":"https://orcid.org/0000-0003-0883-5013","contributorId":93554,"corporation":false,"usgs":true,"family":"Sinton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":true,"id":483328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauahikaua, Jim","contributorId":47366,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"Jim","email":"","affiliations":[],"preferred":false,"id":483323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Brian","contributorId":77448,"corporation":false,"usgs":true,"family":"Taylor","given":"Brian","email":"","affiliations":[],"preferred":false,"id":483327,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047945,"text":"70047945 - 2013 - Implications of multi-scale sea level and climate variability for coastal resources","interactions":[],"lastModifiedDate":"2013-08-30T16:16:40","indexId":"70047945","displayToPublicDate":"2013-08-30T16:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Implications of multi-scale sea level and climate variability for coastal resources","docAbstract":"While secular changes in regional sea levels and their implications for coastal zone management have been studied extensively, less attention is being paid to natural fluctuations in sea levels, whose interaction with a higher mean level could have significant impacts on low-lying areas, such as wetlands. Here, the long record of sea level at Key West, FL is studied in terms of both the secular trend and the multi-scale sea level variations. This analysis is then used to explore implications for the Everglades National Park (ENP), which is recognized internationally for its ecological significance, and is the site of the largest wetland restoration project in the world. Very shallow topographic gradients (3–6 cm per km) make the region susceptible to small changes in sea level. Observations of surface water levels from a monitoring network within ENP exhibit both the long-term trends and the interannual-to-(multi)decadal variability that are observed in the Key West record. Water levels recorded at four long-term monitoring stations within ENP exhibit increasing trends approximately equal to or larger than the long-term trend at Key West. Time- and frequency-domain analyses highlight the potential influence of climate mechanisms, such as the El Niño/Southern Oscillation and the North Atlantic Oscillation (NAO), on Key West sea levels and marsh water levels, and the potential modulation of their influence by the background state of the North Atlantic Sea Surface Temperatures. In particular, the Key West sea levels are found to be positively correlated with the NAO index, while the two series exhibit high spectral power during the transition to a cold Atlantic Multidecadal Oscillation (AMO). The correlation between the Key West sea levels and the NINO3 Index reverses its sign in coincidence with a reversal of the AMO phase. Water levels in ENP are also influenced by precipitation and freshwater releases from the northern boundary of the Park. The analysis of both climate variability and climate change in such wetlands is needed to inform management practices in coastal wetland zones around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-013-0408-8","usgsCitation":"Karamperidou, C., Engel, V., Lall, U., Stabenau, E., and Smith, T.J., 2013, Implications of multi-scale sea level and climate variability for coastal resources: Regional Environmental Change, v. 13, no. 1, p. 91-100, https://doi.org/10.1007/s10113-013-0408-8.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-030832","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":277223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277222,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-013-0408-8"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-01","publicationStatus":"PW","scienceBaseUri":"5221b0e8e4b001cbb8a34e97","contributors":{"authors":[{"text":"Karamperidou, Christina","contributorId":37630,"corporation":false,"usgs":true,"family":"Karamperidou","given":"Christina","email":"","affiliations":[],"preferred":false,"id":483356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":45153,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","affiliations":[],"preferred":false,"id":483357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lall, Upmanu","contributorId":101172,"corporation":false,"usgs":true,"family":"Lall","given":"Upmanu","affiliations":[],"preferred":false,"id":483358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stabenau, Erik","contributorId":106784,"corporation":false,"usgs":true,"family":"Stabenau","given":"Erik","email":"","affiliations":[],"preferred":false,"id":483359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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