{"pageNumber":"682","pageRowStart":"17025","pageSize":"25","recordCount":40797,"records":[{"id":70045233,"text":"70045233 - 2012 - Constraints on the history and topography of the Northeastern Sierra Nevada from a Neogene sedimentary basin in the Reno-Verdi area, Western Nevada","interactions":[],"lastModifiedDate":"2013-04-22T09:29:21","indexId":"70045233","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the history and topography of the Northeastern Sierra Nevada from a Neogene sedimentary basin in the Reno-Verdi area, Western Nevada","docAbstract":"Neogene (Miocene–Pliocene) sedimentary rocks of the northeastern Sierra Nevada were deposited in small basins that formed in response to volcanic and tectonic activity along the eastern margin of the Sierra. These strata record an early phase (ca. 11–10 Ma) of extension and rapid sedimentation of boulder conglomerates and debrites deposited on alluvial fans, followed by fluvio-lacustrine sedimentation and nearby volcanic arc activity but tectonic quiescence, until ~ 2.6 Ma. The fossil record in these rocks documents a warmer, wetter climate featuring large mammals and lacking the Sierran orographic rain shadow that dominates climate today on the eastern edge of the Sierra. This record of a general lack of paleo-relief across the eastern margin of the Sierra Nevada is consistent with evidence presented elsewhere that there was not a significant topographic barrier between the Pacific Ocean and the interior of the continent east of the Sierra before ~ 2.6 Ma. However, these sediments do not record an integrated drainage system either to the east into the Great Basin like the modern Truckee River, or to the west across the Sierra like the ancestral Feather and Yuba rivers. The Neogene Reno-Verdi basin was one of several, scattered endorheic (i.e., internally drained) basins occupying this part of the Cascade intra-arc and back-arc area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00735.1","usgsCitation":"Trexler, J., Cashman, P., and Cosca, M., 2012, Constraints on the history and topography of the Northeastern Sierra Nevada from a Neogene sedimentary basin in the Reno-Verdi area, Western Nevada: Geosphere, v. 8, no. 3, p. 548-561, https://doi.org/10.1130/GES00735.1.","productDescription":"14 p.","startPage":"548","endPage":"561","ipdsId":"IP-033513","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":489002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00735.1","text":"Publisher Index Page"},{"id":271332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271330,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00735.1"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,42.0 ], [ -114.0,42.0 ], [ -114.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-04-11","publicationStatus":"PW","scienceBaseUri":"51765be1e4b0f989f99e00a9","contributors":{"authors":[{"text":"Trexler, James","contributorId":73484,"corporation":false,"usgs":true,"family":"Trexler","given":"James","affiliations":[],"preferred":false,"id":477080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Patricia","contributorId":53676,"corporation":false,"usgs":true,"family":"Cashman","given":"Patricia","affiliations":[],"preferred":false,"id":477079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":33043,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":477078,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045331,"text":"70045331 - 2012 - Modeling species invasions in Ecopath with Ecosim: an evaluation using Laurentian Great Lakes models","interactions":[],"lastModifiedDate":"2013-06-28T09:05:31","indexId":"70045331","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling species invasions in Ecopath with Ecosim: an evaluation using Laurentian Great Lakes models","docAbstract":"Invasive species affect the structure and processes of ecosystems they invade. Invasive species have been particularly relevant to the Laurentian Great Lakes, where they have played a part in both historical and recent changes to Great Lakes food webs and the fisheries supported therein. There is increased interest in understanding the effects of ecosystem changes on fisheries within the Great Lakes, and ecosystem models provide an essential tool from which this understanding can take place. A commonly used model for exploring fisheries management questions within an ecosystem context is the Ecopath with Ecosim (EwE) modeling software. Incorporating invasive species into EwE models is a challenging process, and descriptions and comparisons of methods for modeling species invasions are lacking. We compared four methods for incorporating invasive species into EwE models for both Lake Huron and Lake Michigan based on the ability of each to reproduce patterns in observed data time series. The methods differed in whether invasive species biomass was forced in the model, the initial level of invasive species biomass at the beginning of time dynamic simulations, and the approach to cause invasive species biomass to increase at the time of invasion. The overall process of species invasion could be reproduced by all methods, but fits to observed time series varied among the methods and models considered. We recommend forcing invasive species biomass when model objectives are to understand ecosystem impacts in the past and when time series of invasive species biomass are available. Among methods where invasive species time series were not forced, mediating the strength of predator–prey interactions performed best for the Lake Huron model, but worse for the Lake Michigan model. Starting invasive species biomass at high values and then artificially removing biomass until the time of invasion performed well for both models, but was more complex than starting invasive species biomass at low values. In general, for understanding the effect of invasive species on future fisheries management actions, we recommend initiating invasive species biomass at low levels based on the greater simplicity and realism of the method compared to others.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2012.08.015","usgsCitation":"Langseth, B.J., Rogers, M., and Zhang, H., 2012, Modeling species invasions in Ecopath with Ecosim: an evaluation using Laurentian Great Lakes models: Ecological Modelling, v. 247, p. 251-261, https://doi.org/10.1016/j.ecolmodel.2012.08.015.","productDescription":"11 p.","startPage":"251","endPage":"261","ipdsId":"IP-040104","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":274287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.08.015"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.45 ], [ -76.3,48.45 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"247","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ceb061e4b044272b8e892e","contributors":{"authors":[{"text":"Langseth, Brian J.","contributorId":60934,"corporation":false,"usgs":true,"family":"Langseth","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark","contributorId":26955,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","affiliations":[],"preferred":false,"id":477242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Hongyan","contributorId":66153,"corporation":false,"usgs":true,"family":"Zhang","given":"Hongyan","email":"","affiliations":[],"preferred":false,"id":477244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045496,"text":"70045496 - 2012 - A Gibbs sampler for Bayesian analysis of site-occupancy data","interactions":[],"lastModifiedDate":"2013-04-19T21:15:12","indexId":"70045496","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A Gibbs sampler for Bayesian analysis of site-occupancy data","docAbstract":"1. A Bayesian analysis of site-occupancy data containing covariates of species occurrence and species detection probabilities is usually completed using Markov chain Monte Carlo methods in conjunction with software programs that can implement those methods for any statistical model, not just site-occupancy models. Although these software programs are quite flexible, considerable experience is often required to specify a model and to initialize the Markov chain so that summaries of the posterior distribution can be estimated efficiently and accurately.\n\n2. As an alternative to these programs, we develop a Gibbs sampler for Bayesian analysis of site-occupancy data that include covariates of species occurrence and species detection probabilities. This Gibbs sampler is based on a class of site-occupancy models in which probabilities of species occurrence and detection are specified as probit-regression functions of site- and survey-specific covariate measurements.\n\n3. To illustrate the Gibbs sampler, we analyse site-occupancy data of the blue hawker, Aeshna cyanea (Odonata, Aeshnidae), a common dragonfly species in Switzerland. Our analysis includes a comparison of results based on Bayesian and classical (non-Bayesian) methods of inference. We also provide code (based on the R software program) for conducting Bayesian and classical analyses of site-occupancy data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00237.x","usgsCitation":"Dorazio, R.M., and Rodriguez, D.T., 2012, A Gibbs sampler for Bayesian analysis of site-occupancy data: Methods in Ecology and Evolution, v. 3, no. 6, p. 1093-1098, https://doi.org/10.1111/j.2041-210X.2012.00237.x.","productDescription":"6 p.","startPage":"1093","endPage":"1098","ipdsId":"IP-037612","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00237.x","text":"Publisher Index Page"},{"id":271274,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00237.x"},{"id":271275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"51726763e4b0c173799e78fe","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Daniel Taylor","contributorId":76619,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Daniel","email":"","middleInitial":"Taylor","affiliations":[],"preferred":false,"id":477639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041292,"text":"70041292 - 2012 - Modeling the formation of porphyry-copper ores","interactions":[],"lastModifiedDate":"2019-05-30T12:37:17","indexId":"70041292","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the formation of porphyry-copper ores","docAbstract":"Porphyry-copper ore systems, the source of much of the world's copper and molybdenum, form when metal-bearing fluids are expelled from shallow, degassing magmas. On page 1613 of this issue, Weis et al. (1) demonstrate that self-organizing processes focus metal deposition. Specifically, their simulation studies indicate that ores develop as consequences of dynamic variations in rock permeability driven by injection of volatile species from rising magmas. Scenarios with a static permeability structure could not reproduce key field observations, whereas dynamic permeability responses to magmatic-fluid injection localized a metal-precipitation front where enrichment by a factor of 103 could be achieved [for an overview of their numerical-simulation model CSMP++, see (2)].","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AAAS","doi":"10.1126/science.1231706","usgsCitation":"Ingebritsen, S.E., 2012, Modeling the formation of porphyry-copper ores: Science, v. 338, no. 6114, p. 1551-1552, https://doi.org/10.1126/science.1231706.","productDescription":"2 p.","startPage":"1551","endPage":"1552","ipdsId":"IP-041919","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":274352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1231706"}],"volume":"338","issue":"6114","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4ebe4b0ca1848338a6b","contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469489,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045511,"text":"70045511 - 2012 - Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska","interactions":[],"lastModifiedDate":"2024-04-01T22:17:37.254437","indexId":"70045511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska","docAbstract":"Watersheds draining the Arctic Coastal Plain (ACP) of Alaska are dominated by permafrost and snowmelt runoff that create abundant surface storage in the form of lakes, wetlands, and beaded streams. These surface water elements compose complex drainage networks that affect aquatic ecosystem connectivity and hydrologic behavior. The 4676 km<sup>2</sup> Fish Creek drainage basin is composed of three watersheds that represent a gradient of the ACP landscape with varying extents of eolian, lacustrine, and fluvial landforms. In each watershed, we analyzed 2.5-m-resolution aerial photography, a 5-m digital elevation model, and river gauging and climate records to better understand ACP watershed structure and processes. We show that connected lakes accounted for 19 to 26% of drainage density among watersheds and most all channels initiate from lake basins in the form of beaded streams. Of the > 2500 lakes in these watersheds, 33% have perennial streamflow connectivity, and these represent 66% of total lake area extent. Deeper lakes with over-wintering habitat were more abundant in the watershed with eolian sand deposits, while the watershed with marine silt deposits contained a greater extent of beaded streams and shallow thermokarst lakes that provide essential summer feeding habitat. Comparison of flow regimes among watersheds showed that higher lake extent and lower drained lake-basin extent corresponded with lower snowmelt and higher baseflow runoff. Variation in baseflow runoff among watersheds was most pronounced during drought conditions in 2007 with corresponding reduction in snowmelt peak flows the following year. Comparison with other Arctic watersheds indicates that lake area extent corresponds to slower recession of both snowmelt and baseflow runoff. These analyses help refine our understanding of how Arctic watersheds are structured and function hydrologically, emphasizing the important role of lake basins and suggesting how future lake change may impact hydrologic processes.","language":"English","publisher":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado","doi":"10.1657/1938-4246-44.4.385","usgsCitation":"Arp, C., Whitman, M., Jones, B.M., Kemnitz, R., Grosse, G., and Urban, F., 2012, Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska: Arctic, Antarctic, and Alpine Research, v. 44, no. 4, p. 385-394, https://doi.org/10.1657/1938-4246-44.4.385.","productDescription":"10 p.","startPage":"385","endPage":"394","ipdsId":"IP-040648","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474278,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1657/1938-4246-44.4.385","text":"External Repository"},{"id":271770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147.5,\n              69\n            ],\n            [\n              -147.5,\n              71\n            ],\n            [\n              -158,\n              71\n            ],\n            [\n              -158,\n              69\n            ],\n            [\n              -147.5,\n              69\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-01-16","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a92","contributors":{"authors":[{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":477678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, M.S.","contributorId":66893,"corporation":false,"usgs":true,"family":"Whitman","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":477680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":477677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemnitz, R.","contributorId":58813,"corporation":false,"usgs":true,"family":"Kemnitz","given":"R.","email":"","affiliations":[],"preferred":false,"id":477679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":477681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urban, F.E. 0000-0002-1329-1703","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":34352,"corporation":false,"usgs":true,"family":"Urban","given":"F.E.","affiliations":[],"preferred":false,"id":477676,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045527,"text":"70045527 - 2012 - A horizon scanning assessment of current and potential future threats to migratory shorebirds","interactions":[],"lastModifiedDate":"2018-05-20T11:22:44","indexId":"70045527","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"A horizon scanning assessment of current and potential future threats to migratory shorebirds","docAbstract":"We review the conservation issues facing migratory shorebird populations that breed in temperate regions and use wetlands in the non-breeding season. Shorebirds are excellent model organisms for understanding ecological, behavioural and evolutionary processes and are often used as indicators of wetland health. A global team of experienced shorebird researchers identified 45 issues facing these shorebird populations, and divided them into three categories (natural, current anthropogenic and future issues). The natural issues included megatsunamis, volcanoes and regional climate changes, while current anthropogenic threats encompassed agricultural intensification, conversion of tidal flats and coastal wetlands by human infrastructure developments and eutrophication of coastal systems. Possible future threats to shorebirds include microplastics, new means of recreation and infectious diseases. We suggest that this review process be broadened to other taxa to aid the identification and ranking of current and future conservation actions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ibis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1474-919X.2012.01261.x","usgsCitation":"Sutherland, W., Alves, J., Amano, T., Chang, C.H., Davidson, N.C., Finlayson, C., Gill, J.A., Gill, R., González, P., Gunnarsson, T.G., Kleijn, D., Spray, C.J., Székely, T., and Thompson, D.B., 2012, A horizon scanning assessment of current and potential future threats to migratory shorebirds: Ibis, v. 154, no. 4, p. 663-679, https://doi.org/10.1111/j.1474-919X.2012.01261.x.","productDescription":"17 p.","startPage":"663","endPage":"679","ipdsId":"IP-039672","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":500034,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/an-assessment-of-the-current-and-potential-future-natural-and-ant","text":"External Repository"},{"id":271282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271281,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1474-919X.2012.01261.x"}],"volume":"154","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"51726765e4b0c173799e7911","contributors":{"authors":[{"text":"Sutherland, William J.","contributorId":73071,"corporation":false,"usgs":true,"family":"Sutherland","given":"William J.","affiliations":[],"preferred":false,"id":477752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alves, José A.","contributorId":89044,"corporation":false,"usgs":false,"family":"Alves","given":"José A.","affiliations":[],"preferred":false,"id":477757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amano, Tatsuya","contributorId":77029,"corporation":false,"usgs":true,"family":"Amano","given":"Tatsuya","email":"","affiliations":[],"preferred":false,"id":477753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Charlotte H.","contributorId":15502,"corporation":false,"usgs":true,"family":"Chang","given":"Charlotte","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":477748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, Nicholas C.","contributorId":60108,"corporation":false,"usgs":true,"family":"Davidson","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finlayson, C. Max","contributorId":96573,"corporation":false,"usgs":true,"family":"Finlayson","given":"C. Max","affiliations":[],"preferred":false,"id":477759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gill, Jennifer A.","contributorId":88640,"corporation":false,"usgs":true,"family":"Gill","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477756,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":477746,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"González, Patricia M.","contributorId":83428,"corporation":false,"usgs":true,"family":"González","given":"Patricia M.","affiliations":[],"preferred":false,"id":477754,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gunnarsson, Tomas Gretar","contributorId":92153,"corporation":false,"usgs":true,"family":"Gunnarsson","given":"Tomas","email":"","middleInitial":"Gretar","affiliations":[],"preferred":false,"id":477758,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kleijn, David","contributorId":55716,"corporation":false,"usgs":true,"family":"Kleijn","given":"David","email":"","affiliations":[],"preferred":false,"id":477749,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Spray, Chris J.","contributorId":85071,"corporation":false,"usgs":true,"family":"Spray","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477755,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Székely, Tamás","contributorId":6749,"corporation":false,"usgs":true,"family":"Székely","given":"Tamás","affiliations":[],"preferred":false,"id":477747,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thompson, Des B.A.","contributorId":64541,"corporation":false,"usgs":true,"family":"Thompson","given":"Des","email":"","middleInitial":"B.A.","affiliations":[],"preferred":false,"id":477751,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70045532,"text":"70045532 - 2012 - Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge","interactions":[],"lastModifiedDate":"2013-06-24T10:35:07","indexId":"70045532","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge","docAbstract":"Results are presented of a detailed study into the vadose zone and shallow water table hydrodynamics of a field site in Shropshire, UK. A conceptual model is developed and tested using a range of numerical models, including a modified soil moisture balance model (SMBM) for estimating groundwater recharge in the presence of both diffuse and preferential flow components. Tensiometry reveals that the loamy sand topsoil wets up via macropore flow and subsequent redistribution of moisture into the soil matrix. Recharge does not occur until near-positive pressures are achieved at the top of the sandy glaciofluvial outwash material that underlies the topsoil, about 1 m above the water table. Once this occurs, very rapid water table rises follow. This threshold behaviour is attributed to the vertical discontinuity in the macropore system due to seasonal ploughing of the topsoil, and a lower permeability plough/iron pan restricting matrix flow between the topsoil and the lower outwash deposits. Although the wetting process in the topsoil is complex, a SMBM is shown to be effective in predicting the initiation of preferential flow from the base of the topsoil into the lower outwash horizon. The rapidity of the response at the water table and a water table rise during the summer period while flow gradients in the unsaturated profile were upward suggest that preferential flow is also occurring within the outwash deposits below the topsoil. A variation of the source-responsive model proposed by Nimmo (2010) is shown to reproduce the observed water table dynamics well in the lower outwash horizon when linked to a SMBM that quantifies the potential recharge from the topsoil. The results reveal new insights into preferential flow processes in cultivated soils and provide a useful and practical approach to accounting for preferential flow in studies of groundwater recharge estimation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-9-8455-2012","usgsCitation":"Cuthbert, M., Mackay, R., and Nimmo, J., 2012, Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge: Hydrology and Earth System Sciences, v. 9, p. 8455-8492, https://doi.org/10.5194/hessd-9-8455-2012.","productDescription":"38 p.","startPage":"8455","endPage":"8492","ipdsId":"IP-045040","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-9-8455-2012","text":"Publisher Index Page"},{"id":274092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274091,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-9-8455-2012"}],"country":"United Kingdom","county":"Shropshire County","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a68e4b0a50a6e8f5814","contributors":{"authors":[{"text":"Cuthbert, M.O.","contributorId":94577,"corporation":false,"usgs":true,"family":"Cuthbert","given":"M.O.","email":"","affiliations":[],"preferred":false,"id":477768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mackay, R.","contributorId":43545,"corporation":false,"usgs":true,"family":"Mackay","given":"R.","email":"","affiliations":[],"preferred":false,"id":477766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":477767,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045581,"text":"70045581 - 2012 - Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","interactions":[],"lastModifiedDate":"2013-04-24T17:07:53","indexId":"70045581","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","docAbstract":"The SLEUTH urban growth model is applied to a binational dryland watershed to envision and evaluate plausible future scenarios of land use change into the year 2050. Our objective was to create a suite of geospatial footprints portraying potential land use change that can be used to aid binational decision-makers in assessing the impacts relative to sustainability of natural resources and potential socio-ecological consequences of proposed land-use management. Three alternatives are designed to simulate different conditions: (i) a Current Trends Scenario of unmanaged exponential growth, (ii) a Conservation Scenario with managed growth to protect the environment, and (iii) a Megalopolis Scenario in which growth is accentuated around a defined international trade corridor. The model was calibrated with historical data extracted from a time series of satellite images. Model materials, methodology, and results are presented. Our Current Trends Scenario predicts the footprint of urban growth to approximately triple from 2009 to 2050, which is corroborated by local population estimates. The Conservation Scenario results in protecting 46% more of the Evergreen class (more than 150,000 acres) than the Current Trends Scenario and approximately 95,000 acres of Barren Land, Crops, Deciduous Forest (Mesquite Bosque), Grassland/Herbaceous, Urban/Recreational Grasses, and Wetlands classes combined. The Megalopolis Scenario results also depict the preservation of some of these land-use classes compared to the Current Trends Scenario, most notably in the environmentally important headwaters region. Connectivity and areal extent of land cover types that provide wildlife habitat were preserved under the alternative scenarios when compared to Current Trends.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2012.06.015","usgsCitation":"Norman, L.M., Feller, M., and Villarreal, M., 2012, Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora: Landscape and Urban Planning, v. 107, no. 3, p. 225-235, https://doi.org/10.1016/j.landurbplan.2012.06.015.","productDescription":"11 p.","startPage":"225","endPage":"235","ipdsId":"IP-030525","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2012.06.015","text":"Publisher Index Page"},{"id":271427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271426,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2012.06.015"}],"country":"United States;Mexico","state":"Arizona;Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.05,26.3 ], [ -115.05,37.0 ], [ -108.42,37.0 ], [ -108.42,26.3 ], [ -115.05,26.3 ] ] ] } } ] }","volume":"107","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178fee5e4b0d842c705f6e7","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feller, Mark","contributorId":79931,"corporation":false,"usgs":true,"family":"Feller","given":"Mark","affiliations":[],"preferred":false,"id":477870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":477871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045588,"text":"70045588 - 2012 - Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","interactions":[],"lastModifiedDate":"2021-01-05T18:01:12.044462","indexId":"70045588","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","docAbstract":"We modeled the hydrology of basins draining into the northern portion of the San Francisco Bay Estuary (North San Pablo Bay) using a regional water balance model (Basin Characterization Model; BCM) to estimate potential effects of climate change at the watershed scale. The BCM calculates water balance components, including runoff, recharge, evapotranspiration, soil moisture, and stream flow, based on climate, topography, soils and underlying geology, and the solar-driven energy balance. We downscaled historical and projected precipitation and air temperature values derived from weather stations and global General Circulation Models (GCMs) to a spatial scale of 270 m. We then used the BCM to estimate hydrologic response to climate change for four scenarios spanning this century (2000–2100). Historical climate patterns show that Marin’s coastal regions are typically on the order of 2 °C cooler and receive five percent more precipitation compared to the inland valleys of Sonoma and Napa because of marine influences and local topography. By the last 30 years of this century, North Bay scenarios project average minimum temperatures to increase by 1.0 °C to 3.1 °C and average maximum temperatures to increase by 2.1 °C to 3.4 °C (in comparison to conditions experienced over the last 30 years, 1981–2010). Precipitation projections for the 21st century vary between GCMs (ranging from 2 to 15% wetter than the 20th-century average). Temperature forcing increases the variability of modeled runoff, recharge, and stream discharge, and shifts hydrologic cycle timing. For both high- and low-rainfall scenarios, by the close of this century warming is projected to amplify late-season climatic water deficit (a measure of drought stress on soils) by 8% to 21%. Hydrologic variability within a single river basin demonstrated at the scale of subwatersheds may prove an important consideration for water managers in the face of climate change. Our results suggest that in arid environments characterized by high topo-climatic variability, land and water managers need indicators of local watershed hydrology response to complement regional temperature and precipitation estimates. Our results also suggest that temperature forcing may generate greater drought stress affecting soils and stream flows than can be estimated by variability in precipitation alone.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss4art2","usgsCitation":"Micheli, E., Flint, L., Flint, A., Weiss, S., and Kennedy, M., 2012, Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study: San Francisco Estuary and Watershed Science, v. 10, no. 4, 31 p., https://doi.org/10.15447/sfews.2012v10iss4art2.","productDescription":"31 p.","ipdsId":"IP-028558","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":474239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss4art2","text":"Publisher Index Page"},{"id":381884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,38.5 ], [ -121.5,38.5 ], [ -121.5,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a8e","contributors":{"authors":[{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":477892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":477891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":477889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":477888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Morgan","contributorId":77446,"corporation":false,"usgs":true,"family":"Kennedy","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":477890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173871,"text":"70173871 - 2012 - Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets","interactions":[],"lastModifiedDate":"2016-06-15T15:15:22","indexId":"70173871","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets","docAbstract":"<p><span>Fish bioenergetics models based on natural prey items have been widely used to address research and management questions. However, few attempts have been made to evaluate and apply bioenergetics models to hatchery-reared fish receiving commercial feeds that contain substantially higher energy densities than natural prey. In this study, we evaluated a bioenergetics model for age-0 largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>reared on four commercial feeds. Largemouth bass (</span><i>n</i><span>&nbsp;&asymp; 3,504) were reared for 70 d at 25&deg;C in sixteen 833-L circular tanks connected in parallel to a recirculation system. Model performance was evaluated using error components (mean, slope, and random) derived from decomposition of the mean square error obtained from regression of observed on predicted values. Mean predicted consumption was only 8.9% lower than mean observed consumption and was similar to error rates observed for largemouth bass consuming natural prey. Model evaluation showed that the 97.5% joint confidence region included the intercept of 0 (&minus;0.43 &plusmn; 3.65) and slope of 1 (1.08 &plusmn; 0.20), which indicates the model accurately predicted consumption. Moreover model error was similar among feeds (</span><i>P</i><span>&nbsp;= 0.98), and most error was probably attributable to sampling error (unconsumed feed), underestimated predator energy densities, or consumption-dependent error, which is common in bioenergetics models. This bioenergetics model could provide a valuable tool in hatchery production of largemouth bass. Furthermore, we believe that bioenergetics modeling could be useful in aquaculture production, particularly for species lacking historical hatchery constants or conventional growth models.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/15222055.2012.675998","usgsCitation":"Csargo, I.J., Brown, M.L., and Chipps, S.R., 2012, Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets: North American Journal of Aquaculture, v. 74, no. 3, p. 352-359, https://doi.org/10.1080/15222055.2012.675998.","productDescription":"8 p.","startPage":"352","endPage":"359","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034017","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69c3","contributors":{"authors":[{"text":"Csargo, Isak J.","contributorId":171858,"corporation":false,"usgs":false,"family":"Csargo","given":"Isak","email":"","middleInitial":"J.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Michael L.","contributorId":171856,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173581,"text":"70173581 - 2012 - Strategies to control a common carp population by pulsed commercial harvest","interactions":[],"lastModifiedDate":"2016-06-13T14:52:26","indexId":"70173581","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Strategies to control a common carp population by pulsed commercial harvest","docAbstract":"<p><span>Commercial fisheries are commonly used to manage nuisance fishes in freshwater systems, but such efforts are often unsuccessful. Strategies for successfully controlling a nuisance population of common carp&nbsp;</span><i>Cyprinus carpio</i><span>&nbsp;by pulsed commercial harvest were evaluated with a combination of (1) field sampling, (2) population estimation and CPUE indexing, and (3) simulation using an exponential semidiscrete biomass dynamics model (SDBDM). The range of annual fishing mortalities (</span><i>F</i><span>) that resulted in successful control (</span><i>F</i><span>&nbsp;= 0.244&ndash;0.265) was narrow. Common carp biomass dynamics were sensitive to unintentional underharvest due to high rates of surplus production and a biomass doubling time of 2.7&nbsp;years. Simulations indicated that biomanipulation never achieved successful control unless supplemental fishing mortality was imposed. Harvest of a majority of annual production was required to achieve successful control, as indicated by the ecotrophic coefficient (EC). Readily available biomass data and tools such as SDBDMs and ECs can be used in an adaptive management framework to successfully control common carp and other nuisance fishes by pulsed commercial fishing.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.728175","usgsCitation":"Colvin, M., Pierce, C., Stewart, T.W., and Grummer, S.E., 2012, Strategies to control a common carp population by pulsed commercial harvest: North American Journal of Fisheries Management, v. 32, no. 6, p. 1251-1264, https://doi.org/10.1080/02755947.2012.728175.","productDescription":"14 p.","startPage":"1251","endPage":"1264","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035097","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490010,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/66","text":"External Repository"},{"id":323510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-26","publicationStatus":"PW","scienceBaseUri":"575fd931e4b04f417c2baa8c","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grummer, Scott E.","contributorId":171432,"corporation":false,"usgs":false,"family":"Grummer","given":"Scott","email":"","middleInitial":"E.","affiliations":[{"id":26914,"text":"Iowa Department of Natural Resources, Clear Lake, Iowa","active":true,"usgs":false}],"preferred":false,"id":637369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173428,"text":"70173428 - 2012 - Prevalence of <i>Anguillicoloides crassus</i> and growth variation in migrant yellow-phase American eels of the upper Potomac River drainage","interactions":[],"lastModifiedDate":"2016-06-20T15:43:58","indexId":"70173428","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of <i>Anguillicoloides crassus</i> and growth variation in migrant yellow-phase American eels of the upper Potomac River drainage","docAbstract":"<p class=\"abstract_block\">Prevalence of the non-native swim bladder nematode&nbsp;<i>Anguillicoloides crassus</i>&nbsp;has recently increased in American eels from estuaries of the North American Atlantic coast, but little is known about parasite prevalence or conditions of previous infection in upstream migrant eels within upper watersheds. This study is the first to confirm presence of&nbsp;<i>A. crassus</i>&nbsp;in the upper Potomac River watershed. We estimated&nbsp;<i>A. crassus</i>&nbsp;prevalence during 3 time periods: September to October 2006 (5/143 eels, 3.5%), August to October 2007 (0/49 eels), and June 2008 (0/50 eels). All eels were sampled from the Millville Dam eel ladder on the lower Shenandoah River, a Potomac River tributary located approximately 285 km upstream of Chesapeake Bay, USA. Of the 5 infected eels, parasite intensity was 1 for each eel, and mean intensity was also 1.0. A swim bladder degenerative index (SDI) was calculated for the 50 eels from the final sampling period, and 38% of those eels (19 of 50) showed signs of previous infection by&nbsp;<i>A. crassus</i>. We also aged 42 of the 50 eels (mean &plusmn; SE = 6.7 &plusmn; 0.29 yr, range 4 to 11 yr) from the final sampling period. Based on the range of possible SDI scores (0 to 6), severity of previously infected swim bladders was moderate (SDI = 1 or 2). Previously infected eels, however, had a lower length-at-age than that of uninfected eels. Female yellow-phase eels in upper watersheds develop into large highly fecund silver-phase adults; hence, a parasite-induced effect on growth of yellow-phase eels could ultimately reduce reproductive potential.</p>\n<p>&nbsp;</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/dao02524","usgsCitation":"Zimmerman, J.L., and Welsh, S., 2012, Prevalence of <i>Anguillicoloides crassus</i> and growth variation in migrant yellow-phase American eels of the upper Potomac River drainage: Diseases of Aquatic Organisms, v. 101, no. 2, p. 131-137, https://doi.org/10.3354/dao02524.","productDescription":"7 p.","startPage":"131","endPage":"137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037751","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02524","text":"Publisher Index Page"},{"id":324041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Potomac River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.79423236846924,\n              39.269108541932816\n            ],\n            [\n              -77.79423236846924,\n              39.285154026653785\n            ],\n            [\n              -77.77547836303711,\n              39.285154026653785\n            ],\n            [\n              -77.77547836303711,\n              39.269108541932816\n            ],\n            [\n              -77.79423236846924,\n              39.269108541932816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"101","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e4e4b07657d19ff233","contributors":{"authors":[{"text":"Zimmerman, Jennifer L.","contributorId":171351,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":26870,"text":"West Virginia University, Mortgantown, WV","active":true,"usgs":false}],"preferred":false,"id":637117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637116,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173518,"text":"70173518 - 2012 - The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States","interactions":[],"lastModifiedDate":"2016-06-16T13:44:11","indexId":"70173518","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States","docAbstract":"<p><span>One of the pervasive challenges in landscape genetics is detecting gene flow patterns within continuous populations of highly mobile wildlife. Understanding population genetic structure within a continuous population can give insights into social structure, movement across the landscape and contact between populations, which influence ecological interactions, reproductive dynamics or pathogen transmission. We investigated the genetic structure of a large population of deer spanning the area of Wisconsin and Illinois, USA, affected by chronic wasting disease. We combined multiscale investigation, landscape genetic techniques and spatial statistical modelling to address the complex questions of landscape factors influencing population structure. We sampled over 2000 deer and used spatial autocorrelation and a spatial principal components analysis to describe the population genetic structure. We evaluated landscape effects on this pattern using a spatial autoregressive model within a model selection framework to test alternative hypotheses about gene flow. We found high levels of genetic connectivity, with gradients of variation across the large continuous population of white-tailed deer. At the fine scale, spatial clustering of related animals was correlated with the amount and arrangement of forested habitat. At the broader scale, impediments to dispersal were important to shaping genetic connectivity within the population. We found significant barrier effects of individual state and interstate highways and rivers. Our results offer an important understanding of deer biology and movement that will help inform the management of this species in an area where overabundance and disease spread are primary concerns.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-294X.2012.05681.x","usgsCitation":"Robinson, S.J., Samuel, M.D., Lopez, D.L., and Shelton, P., 2012, The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States: Molecular Ecology, v. 21, no. 17, p. 4190-4205, https://doi.org/10.1111/j.1365-294X.2012.05681.x.","productDescription":"16 p.","startPage":"4190","endPage":"4205","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035189","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.977783203125,\n              41.918628865183045\n            ],\n            [\n              -90.977783203125,\n              43.731414013769\n            ],\n            [\n              -87.7642822265625,\n              43.731414013769\n            ],\n            [\n              -87.7642822265625,\n              41.918628865183045\n            ],\n            [\n              -90.977783203125,\n              41.918628865183045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"5763cdbae4b07657d19ba79a","contributors":{"authors":[{"text":"Robinson, Stacie J.","contributorId":172022,"corporation":false,"usgs":false,"family":"Robinson","given":"Stacie","email":"","middleInitial":"J.","affiliations":[{"id":12508,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, 1710 University Ave., Room 285, Madison, WI 53726, USA","active":true,"usgs":false}],"preferred":false,"id":637243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, Davin L.","contributorId":171378,"corporation":false,"usgs":false,"family":"Lopez","given":"Davin","email":"","middleInitial":"L.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":637241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, Paul","contributorId":171375,"corporation":false,"usgs":false,"family":"Shelton","given":"Paul","email":"","affiliations":[{"id":26879,"text":"Illinois DNR, Springfield, IL","active":true,"usgs":false}],"preferred":false,"id":637242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175257,"text":"70175257 - 2012 - Long-term change along the Colorado River in Grand Canyon National Park (1889-2011)","interactions":[],"lastModifiedDate":"2025-03-14T15:29:07.248038","indexId":"70175257","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":8569,"text":"Boatman's Quarterly Review","active":true,"publicationSubtype":{"id":30}},"title":"Long-term change along the Colorado River in Grand Canyon National Park (1889-2011)","docAbstract":"<p>The Colorado River and its riverine resources have undergone profound changes since completion of Glen Canyon Dam in 1963, as every river runner with any history in Grand Canyon will attest. Long-term monitoring data are difficult to obtain for high-value resource areas (Webb et al. 2009), particularly in remote parts of national parks, yet these data are important to determining appropriate actions for restoration of resources and (or) potential modifications of flow releases on regulated rivers. The river corridor through the bottom of Grand Canyon creates a challenging environment for change-detection monitoring techniques (Belnap et al. 2008).</p>","language":"English","publisher":"Grand Canyon River Guides","usgsCitation":"Webb, R.H., Belnap, J., Scott, M.L., Friedman, J., and Esque, T., 2012, Long-term change along the Colorado River in Grand Canyon National Park (1889-2011): Boatman's Quarterly Review, v. 25, no. 4, p. 24-30.","productDescription":"7 p.","startPage":"24","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027870","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326040,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcrg.org/bqr.php"},{"id":326041,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.46367729677088,\n              36.91869593816463\n            ],\n            [\n              -114.00065472873125,\n              36.91869593816463\n            ],\n            [\n              -114.00065472873125,\n              35.66460950465459\n            ],\n            [\n              -111.46367729677088,\n              35.66460950465459\n            ],\n            [\n              -111.46367729677088,\n              36.91869593816463\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315c7e4b006cb45558aed","contributors":{"authors":[{"text":"Webb, R. H.","contributorId":13648,"corporation":false,"usgs":true,"family":"Webb","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":644576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":644577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, M. L.","contributorId":78261,"corporation":false,"usgs":true,"family":"Scott","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":644578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, J.M.","contributorId":88671,"corporation":false,"usgs":true,"family":"Friedman","given":"J.M.","affiliations":[],"preferred":false,"id":644579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, T.C.","contributorId":60974,"corporation":false,"usgs":true,"family":"Esque","given":"T.C.","affiliations":[],"preferred":false,"id":644580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173626,"text":"70173626 - 2012 - High-frequency remote monitoring of large lakes with MODIS 500 m imagery","interactions":[],"lastModifiedDate":"2016-06-09T15:03:06","indexId":"70173626","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency remote monitoring of large lakes with MODIS 500 m imagery","docAbstract":"<p><span>Satellite-based remote monitoring programs of regional lake water quality largely have relied on Landsat Thematic Mapper (TM) owing to its long image archive, moderate spatial resolution (30&nbsp;m), and wide sensitivity in the visible portion of the electromagnetic spectrum, despite some notable limitations such as temporal resolution (i.e., 16&nbsp;days), data pre-processing requirements to improve data quality, and aging satellites. Moderate-Resolution Imaging Spectroradiometer (MODIS) sensors on Aqua/Terra platforms compensate for these shortcomings, although at the expense of spatial resolution. We developed and evaluated a remote monitoring protocol for water clarity of large lakes using MODIS 500&nbsp;m data and compared MODIS utility to Landsat-based methods. MODIS images captured during May&ndash;September 2001, 2004 and 2010 were analyzed with linear regression to identify the relationship between lake water clarity and satellite-measured surface reflectance. Correlations were strong (</span><i>R</i><span>&sup2;&nbsp;=&nbsp;0.72&ndash;0.94) throughout the study period; however, they were the most consistent in August, reflecting seasonally unstable lake conditions and inter-annual differences in algal productivity during the other months. The utility of MODIS data in remote water quality estimation lies in intra-annual monitoring of lake water clarity in inaccessible, large lakes, whereas Landsat is more appropriate for inter-annual, regional trend analyses of lakes &ge;&nbsp;8&nbsp;ha. Model accuracy is improved when ancillary variables are included to reflect seasonal lake dynamics and weather patterns that influence lake clarity. The identification of landscape-scale drivers of regional water quality is a useful way to supplement satellite-based remote monitoring programs relying on spectral data alone.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2012.05.018","usgsCitation":"McCullough, I.M., Loftin, C., and Sader, S., 2012, High-frequency remote monitoring of large lakes with MODIS 500 m imagery: Remote Sensing of Environment, v. 124, p. 234-241, https://doi.org/10.1016/j.rse.2012.05.018.","productDescription":"8 p.","startPage":"234","endPage":"241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034387","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9332e4b04f417c275151","contributors":{"authors":[{"text":"McCullough, Ian M.","contributorId":149952,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":637417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sader, Steven A.","contributorId":112282,"corporation":false,"usgs":true,"family":"Sader","given":"Steven A.","affiliations":[],"preferred":false,"id":637419,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173429,"text":"70173429 - 2012 - Occupancy rates of primary burrowing crayfish in natural and disturbed large river bottomlands","interactions":[],"lastModifiedDate":"2016-06-20T15:38:56","indexId":"70173429","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy rates of primary burrowing crayfish in natural and disturbed large river bottomlands","docAbstract":"<p><span>Among crayfish, primary burrowing species are the least understood ecologically. Many primary burrowing crayfish inhabit floodplains where forested landscapes have been fragmented by agricultural, industrial, or residential uses. In this study, site occupancy rates (&psi;) were modeled for two primary burrowing crayfish, Fallicambarus fodiens (Cottle, 1863) and Cambarus thomai Jezerinac, 1993, from Ohio and Kanawha river floodplains in West Virginia, U.S.A. Fallicambarus fodiens is one of West Virginia&rsquo;s rarest crayfish, while C. thomai is prevalent in most wetlands along both river floodplains. Occupancy rate modeling incorporated four environmental covariates (forest age, soil type, tree frequency, and land use). Based on presence/absence data, forests with tree ages &gt;100 years (&Delta;QAICc&nbsp;= 0) and sites with loam soils (&Delta;QAICc&nbsp;= 1.80) were most likely to harbor F. fodiens populations. For C. thomai, several models were supported owing to model selection uncertainty, but those with the land use covariate had more total model weight (total w i = 0 . 54 ) than all other covariate models. Cambarus thomai rarely occupied industrial/agricultural sites, but were often present in forested and residential sites. Although the influence of covariates on site occupancy differed between species, both taxa readily utilized mature forested habitats when available. Conservation actions for F. fodiens and C. thomai should focus on preserving forested tracts along large river floodplains</span></p>","language":"English","publisher":"Brill","doi":"10.1163/193724012X637339","usgsCitation":"Loughman, Z.J., Welsh, S., and Simon, T.P., 2012, Occupancy rates of primary burrowing crayfish in natural and disturbed large river bottomlands: Journal of Crustacean Biology, v. 32, no. 4, p. 557-564, https://doi.org/10.1163/193724012X637339.","productDescription":"8 p.","startPage":"557","endPage":"564","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034613","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/193724012x637339","text":"Publisher Index Page"},{"id":324039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e2e4b07657d19ff1ff","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":637120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simon, Thomas P.","contributorId":77081,"corporation":false,"usgs":true,"family":"Simon","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173627,"text":"70173627 - 2012 - Evaluation of listener-based anuran surveys with automated audio recording devices","interactions":[],"lastModifiedDate":"2016-06-08T13:45:15","indexId":"70173627","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of listener-based anuran surveys with automated audio recording devices","docAbstract":"<p><span>Volunteer-based audio surveys are used to document long-term trends in anuran community composition and abundance. Current sampling protocols, however, are not region- or species-specific and may not detect relatively rare or audibly cryptic species. We used automated audio recording devices to record calling anurans during 2006&ndash;2009 at wetlands in Maine, USA. We identified species calling, chorus intensity, time of day, and environmental variables when each species was calling and developed logistic and generalized mixed models to determine the time interval and environmental variables that optimize detection of each species during peak calling periods. We detected eight of nine anurans documented in Maine. Individual recordings selected from the sampling period (0.5&nbsp;h past sunset to 0100&nbsp;h) described in the North American Amphibian Monitoring Program (NAAMP) detected fewer species than were detected in recordings from 30&nbsp;min past sunset until sunrise. Time of maximum detection of presence and full chorusing for three species (green frogs, mink frogs, pickerel frogs) occurred after the NAAMP sampling end time (0100&nbsp;h). The NAAMP protocol&rsquo;s sampling period may result in omissions and misclassifications of chorus sizes for certain species. These potential errors should be considered when interpreting trends generated from standardized anuran audio surveys.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0307-7","usgsCitation":"Shearin, A.F., Calhoun, A., and Loftin, C., 2012, Evaluation of listener-based anuran surveys with automated audio recording devices: Wetlands, v. 32, no. 4, p. 737-751, https://doi.org/10.1007/s13157-012-0307-7.","productDescription":"15 p.","startPage":"737","endPage":"751","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033007","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"575941e2e4b04f417c25683c","contributors":{"authors":[{"text":"Shearin, A. F.","contributorId":171583,"corporation":false,"usgs":false,"family":"Shearin","given":"A.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":637999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, A.J.K.","contributorId":10909,"corporation":false,"usgs":true,"family":"Calhoun","given":"A.J.K.","email":"","affiliations":[],"preferred":false,"id":638000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, C.S.","contributorId":92771,"corporation":false,"usgs":true,"family":"Loftin","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":637420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173676,"text":"70173676 - 2012 - Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast","interactions":[],"lastModifiedDate":"2016-06-07T15:11:01","indexId":"70173676","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast","docAbstract":"<p><span>Previous Mottled Duck (</span><i>Anas fulvigula</i><span>) studies suggested that high female breeding season survival may be caused by low nesting effort, but few breeding season estimates of survival associated with nesting effort exist on the western Gulf Coast. Here, breeding season survival (N = 40) and breeding incidence (N = 39) were estimated for female Mottled Ducks on the upper Texas coast, 2006&ndash;2008. Females were fitted with backpack radio transmitters and visually relocated every 3&ndash;4 days. Weekly survival was estimated using the Known Fate procedure of program MARK with breeding incidence estimated as the annual proportion of females observed nesting or with broods. The top-ranked survival model included a body mass covariate and held weekly female survival constant across weeks and years (S</span><sub>W</sub><span>&nbsp;= 0.986, SE = 0.006). When compared to survival across the entire year estimated from previous band recovery and age ratio analysis, survival rate during the breeding season did not differ. Breeding incidence was well below 100% in all years and highly variable among years (15%&ndash;63%). Breeding season survival and breeding incidence were similar to estimates obtained with implant transmitters from the mid-coast of Texas. The greatest breeding incidence for both studies occurred when drought indices indicated average environmental moisture during the breeding season. The observed combination of low breeding incidence and high breeding season survival support the hypothesis of a trade-off between the ecological cost of nesting effort and survival for Mottled Duck females. Habitat cues that trigger nesting are unknown and should be investigated.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0208","usgsCitation":"Rigby, E.A., and Haukos, D.A., 2012, Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast: Waterbirds, v. 35, no. 2, p. 260-269, https://doi.org/10.1675/063.035.0208.","productDescription":"10 p.","startPage":"260","endPage":"269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035536","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f02fe4b04f417c24da28","contributors":{"authors":[{"text":"Rigby, Elizabeth A.","contributorId":171479,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637484,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191838,"text":"70191838 - 2012 - Monitoring subsurface hydrologic response for precipitation-induced shallow landsliding in the San Francisco Bay area, California, USA","interactions":[],"lastModifiedDate":"2017-12-15T13:19:15","indexId":"70191838","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring subsurface hydrologic response for precipitation-induced shallow landsliding in the San Francisco Bay area, California, USA","docAbstract":"Intense winter storms in the San Francisco Bay area (SFBA) of California, USA often trigger shallow landslides. Some of these landslides mobilize into potentially hazardous debris flows. A growing body of research indicates that rainfall intensity-duration thresholds are insufficient for accurate prediction of landslide occurrence. In response, we have begun long-term monitoring of the hydrologic response of land-slide-prone hillslopes to rainfall in several areas of the SFBA. Each monitoring site is equipped with sensors for measuring soil moisture content and piezometric pressure at several soil depths along with a rain gauge connected to a cell phone or satellite telemetered data logger. The data are transmitted in near-real-time, providing the ability to monitor hydrologic conditions before, during, and after storms. Results are guiding the establishment of both antecedent and storm-specific rainfall and moisture content thresholds which must be achieved before landslide-causative positive pore water pressures are generated. Although widespread shallow landsliding has not yet occurred since the deployment of the monitoring sites, several isolated land-slides have been observed in the area of monitoring. The landslides occurred during a period when positive pore water pressures were measured as a result of intense rainfall that followed higher-than-average season precipitation totals. Continued monitoring and analysis will further guide the establishment of more general-ized thresholds for different regions of the SFBA and contribute to the development and calibration of physi-cally-based predictive models.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslides and engineered slopes: Protecting society through improved understanding, Proceedings of the 11th International Symposium on Landslides","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th International Symposium on Landslides","language":"English","usgsCitation":"Collins, B.D., Stock, J.D., Weber, L.C., Whitman, K., and Knepprath, N., 2012, Monitoring subsurface hydrologic response for precipitation-induced shallow landsliding in the San Francisco Bay area, California, USA, <i>in</i> Landslides and engineered slopes: Protecting society through improved understanding, Proceedings of the 11th International Symposium on Landslides, p. 1249-1255.","productDescription":"7 p.","startPage":"1249","endPage":"1255","ipdsId":"IP-035594","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61053ee4b06e28e9c25518","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":713308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Lisa C.","contributorId":124586,"corporation":false,"usgs":true,"family":"Weber","given":"Lisa","email":"","middleInitial":"C.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":713310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, K.","contributorId":197364,"corporation":false,"usgs":false,"family":"Whitman","given":"K.","email":"","affiliations":[],"preferred":false,"id":713311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knepprath, N.","contributorId":197365,"corporation":false,"usgs":false,"family":"Knepprath","given":"N.","email":"","affiliations":[],"preferred":false,"id":713312,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70187522,"text":"70187522 - 2012 - Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010 Haiti earthquake","interactions":[],"lastModifiedDate":"2017-05-09T16:19:52","indexId":"70187522","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010 Haiti earthquake","docAbstract":"<p><span>The moment magnitude (M</span><sub>w</sub><span>) 7.0 12 January 2010 Haiti earthquake is the first major earthquake for which a large-footprint LiDAR (light detection and ranging) survey was acquired within several weeks of the event. Here, we describe the use of virtual reality data visualization to analyze massive amounts (67 GB on disk) of multiresolution terrain data during the rapid scientific response to a major natural disaster. In particular, we describe a method for conducting virtual field work using both desktop computers and a 4-sided, 22 m</span><sup>3</sup><span> CAVE immersive virtual reality environment, along with KeckCAVES (Keck Center for Active Visualization in the Earth Sciences) software tools LiDAR Viewer, to analyze LiDAR point-cloud data, and Crusta, for 2.5 dimensional surficial geologic mapping on a bare-earth digital elevation model. This system enabled virtual field work that yielded remote observations of the topographic expression of active faulting within an ∼75-km-long section of the eastern Enriquillo–Plantain Garden fault spanning the 2010 epicenter. Virtual field observations indicated that the geomorphic evidence of active faulting and ancient surface rupture varies along strike. Landform offsets of 6–50 m along the Enriquillo–Plantain Garden fault east of the 2010 epicenter and closest to Port-au-Prince attest to repeated recent surface-rupturing earthquakes there. In the west, the fault trace is well defined by displaced landforms, but it is not as clear as in the east. The 2010 epicenter is within a transition zone between these sections that extends from Grand Goâve in the west to Fayette in the east. Within this transition, between L'Acul (lat 72°40′W) and the Rouillone River (lat 72°35′W), the Enriquillo–Plantain Garden fault is undefined along an embayed low-relief range front, with little evidence of recent surface rupture. Based on the geometry of the eastern and western faults that show evidence of recent surface rupture, we propose that the 2010 event occurred within a stepover that appears to have served as a long-lived boundary between rupture segments, explaining the lack of 2010 surface rupture. This study demonstrates how virtual reality–based data visualization has the potential to transform rapid scientific response by enabling virtual field studies and real-time interactive analysis of massive terrain data sets.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00687.1","usgsCitation":"Cowgill, E., Bernardin, T.S., Oskin, M.E., Bowles, C., Yikilmaz, M.B., Kreylos, O., Elliott, A., Bishop, S., Gold, R.D., Morelan, A., Bawden, G.W., Hamann, B., and Kellogg, L., 2012, Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010 Haiti earthquake: Geosphere, v. 8, no. 4, p. 787-804, https://doi.org/10.1130/GES00687.1.","productDescription":"18 p.","startPage":"787","endPage":"804","ipdsId":"IP-022203","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00687.1","text":"Publisher Index Page"},{"id":340908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b8e4b0e541a03c1a7a","contributors":{"authors":[{"text":"Cowgill, Eric","contributorId":16290,"corporation":false,"usgs":true,"family":"Cowgill","given":"Eric","affiliations":[],"preferred":false,"id":694384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernardin, Tony S.","contributorId":191807,"corporation":false,"usgs":false,"family":"Bernardin","given":"Tony","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":694385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":694386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowles, Christopher","contributorId":191803,"corporation":false,"usgs":false,"family":"Bowles","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":694387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yikilmaz, M. Burak","contributorId":191805,"corporation":false,"usgs":false,"family":"Yikilmaz","given":"M.","email":"","middleInitial":"Burak","affiliations":[],"preferred":false,"id":694388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreylos, Oliver","contributorId":98189,"corporation":false,"usgs":true,"family":"Kreylos","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":694389,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":694390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bishop, Scott","contributorId":191821,"corporation":false,"usgs":false,"family":"Bishop","given":"Scott","email":"","affiliations":[],"preferred":false,"id":694391,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":694392,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morelan, Alexander","contributorId":173909,"corporation":false,"usgs":false,"family":"Morelan","given":"Alexander","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":694393,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":694394,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hamann, Bernd","contributorId":191822,"corporation":false,"usgs":false,"family":"Hamann","given":"Bernd","email":"","affiliations":[],"preferred":false,"id":694395,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kellogg, Louise","contributorId":191823,"corporation":false,"usgs":false,"family":"Kellogg","given":"Louise","email":"","affiliations":[],"preferred":false,"id":694396,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70146240,"text":"70146240 - 2012 - Chapter two: Phenomenology of tsunamis II: Scaling, event statistics, and inter-event triggering","interactions":[],"lastModifiedDate":"2023-01-03T15:29:53.984353","indexId":"70146240","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3887,"text":"Advances in Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Chapter two: Phenomenology of tsunamis II: Scaling, event statistics, and inter-event triggering","docAbstract":"<p>Observations related to tsunami catalogs are reviewed and described in a phenomenological framework. An examination of scaling relationships between earthquake size (as expressed by scalar seismic moment and mean slip) and tsunami size (as expressed by mean and maximum local run-up and maximum far-field amplitude) indicates that scaling is significant at the 95% confidence level, although there is uncertainty in how well earthquake size can predict tsunami size (R<sup>2</sup> ~ 0.4-0.6). In examining tsunami event statistics, current methods used to estimate the size distribution of earthquakes and landslides and the inter-event time distribution of earthquakes are first reviewed. These methods are adapted to estimate the size and inter-event distribution of tsunamis at a particular recording station. Using a modified Pareto size distribution, the best-fit power-law exponents of tsunamis recorded at nine Pacific tide-gauge stations exhibit marked variation, in contrast to the approximately constant power-law exponent for inter-plate thrust earthquakes. With regard to the inter-event time distribution, significant temporal clustering of tsunami sources is demonstrated. For tsunami sources occurring in close proximity to other sources in both space and time, a physical triggering mechanism, such as static stress transfer, is a likely cause for the anomalous clustering. Mechanisms of earthquake-to-earthquake and earthquake-to-landslide triggering are reviewed. Finally, a modification of statistical branching models developed for earthquake triggering is introduced to describe triggering among tsunami sources.</p>","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/B978-0-12-380938-4.00002-1","usgsCitation":"Geist, E.L., 2012, Chapter two: Phenomenology of tsunamis II: Scaling, event statistics, and inter-event triggering: Advances in Geophysics, v. 53, p. 35-92, https://doi.org/10.1016/B978-0-12-380938-4.00002-1.","productDescription":"58 p.","startPage":"35","endPage":"92","numberOfPages":"58","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029022","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308148,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92b1e4b05d6c4e501a5e","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":544883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70162264,"text":"70162264 - 2012 - Using stable isotopes to test for trophic niche partitioning: a case study with stream salamanders and fish","interactions":[],"lastModifiedDate":"2016-01-20T13:27:54","indexId":"70162264","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Using stable isotopes to test for trophic niche partitioning: a case study with stream salamanders and fish","docAbstract":"<p>1.&ensp;Stream salamanders and fish often co-occur even though fish prey on and outcompete salamanders. However, the mechanisms that allow palatable salamanders to coexist with fish are unknown.</p>\n<p>2.&ensp;We tested mechanisms in the field that promote coexistence between Idaho giant salamanders (<i>Dicamptodon aterrimus</i>) and stream salmonid fishes in headwater streams. Previous research in this system indicated that salamander dispersal did not promote coexistence with fish. We tested the hypothesis that&nbsp;<i>D.&nbsp;aterrimus</i>&nbsp;shift their diet when they occur with fish, facilitating coexistence through local niche partitioning.</p>\n<p>3.&ensp;We used nitrogen and carbon stable isotopes to describe the trophic niche of&nbsp;<i>D.&nbsp;aterrimus</i>&nbsp;and fish in three co-occurring populations of salamanders and fish and three populations of salamanders without fish. We used two approaches to quantify trophic niche partitioning with stable isotopes: 95% kernel density estimators and isotopic mixing models.</p>\n<p>4.&ensp;We found that salamanders and fish were generalists that consumed aquatic invertebrates primarily, but both species were also cannibalistic and predatory on one another. We also found no support for trophic niche partitioning as a coexistence mechanism because there were no differences in the trophic niche metrics among salamander populations with and without fish.</p>\n<p>5.&ensp;Although we did not identify mechanisms that facilitate salamander and fish coexistence, our empirical data and use of novel approaches to describe the trophic niche did yield important insights on the role of predator&ndash;prey interactions and cannibalism as alternative coexistence mechanisms. In addition, we found that 95% kernel estimators are a simple and robust method to describe population-level measure of trophic structure.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2012.02800.x","usgsCitation":"Sepulveda, A.J., Lowe, W., and Marra, P., 2012, Using stable isotopes to test for trophic niche partitioning: a case study with stream salamanders and fish: Freshwater Biology, v. 57, no. 7, p. 1399-1409, https://doi.org/10.1111/j.1365-2427.2012.02800.x.","productDescription":"11 p.","startPage":"1399","endPage":"1409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034902","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-21","publicationStatus":"PW","scienceBaseUri":"56a0bddae4b0961cf280dc34","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":589025,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Marra, Peter P.","contributorId":108030,"corporation":false,"usgs":true,"family":"Marra","given":"Peter P.","affiliations":[],"preferred":false,"id":589024,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70160341,"text":"70160341 - 2012 - Oxygen demand of aircraft and airfield pavement deicers and alternative freezing point depressants","interactions":[],"lastModifiedDate":"2015-12-17T14:33:24","indexId":"70160341","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen demand of aircraft and airfield pavement deicers and alternative freezing point depressants","docAbstract":"<p><span>Aircraft and pavement deicing formulations and other potential freezing point depressants were tested for biochemical oxygen demand (BOD) and chemical oxygen demand (COD). Propylene glycol-based aircraft deicers exhibited greater BOD</span><span>5</span><span>&nbsp;than ethylene glycol-based aircraft deicers, and ethylene glycol-based products had lower degradation rates than propylene glycol-based products. Sodium formate pavement deicers had lower COD than acetate-based pavement deicers. The BOD and COD results for acetate-based pavement deicers (PDMs) were consistently lower than those for aircraft deicers, but degradation rates were greater in the acetate-based PDM than in aircraft deicers. In a 40-day testing of aircraft and pavement deicers, BOD results at 20&deg;C (standard) were consistently greater than the results from 5&deg;C (low) tests. The degree of difference between standard and low temperature BOD results varied among tested products. Freshwater BOD test results were not substantially different from marine water tests at 20&deg;C, but glycols degraded slower in marine water than in fresh water for low temperature tests. Acetate-based products had greater percentage degradation than glycols at both temperatures. An additive component of the sodium formate pavement deicer exhibited toxicity to the microorganisms, so BOD testing did not work properly for this formulation. BOD testing of alternative freezing point depressants worked well for some, there was little response for some, and for others there was a lag in response while microorganisms acclimated to the freezing point depressant as a food source. Where the traditional BOD</span><span>5</span><span>&nbsp;test performed adequately, values ranged from 251 to 1,580&nbsp;g/kg. Where the modified test performed adequately, values of BOD</span><span>28</span><span>&nbsp;ranged from 242 to 1,540&nbsp;g/kg.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11270-011-1036-x","usgsCitation":"Corsi, S., Mericas, D., and Bowman, G., 2012, Oxygen demand of aircraft and airfield pavement deicers and alternative freezing point depressants: Water, Air, & Soil Pollution, v. 223, no. 5, p. 2447-2461, https://doi.org/10.1007/s11270-011-1036-x.","productDescription":"15 p.","startPage":"2447","endPage":"2461","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029856","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":312469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-04","publicationStatus":"PW","scienceBaseUri":"5673eac5e4b0da412f4f825a","contributors":{"authors":[{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":150657,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":582620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mericas, Dean","contributorId":150658,"corporation":false,"usgs":false,"family":"Mericas","given":"Dean","email":"","affiliations":[{"id":18062,"text":"CH2MHILL, Austin, TX","active":true,"usgs":false}],"preferred":false,"id":582621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowman, George","contributorId":150664,"corporation":false,"usgs":false,"family":"Bowman","given":"George","email":"","affiliations":[{"id":17815,"text":"Wisconsin State Laboratory of Hygiene","active":true,"usgs":false}],"preferred":false,"id":582622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039418,"text":"70039418 - 2012 - Structural equation modeling and the analysis of long-term monitoring data","interactions":[],"lastModifiedDate":"2019-08-26T15:58:02","indexId":"70039418","displayToPublicDate":"2012-12-31T15:54:11","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"15","title":"Structural equation modeling and the analysis of long-term monitoring data","docAbstract":"The analysis of long-term monitoring data is increasingly important; not only for the discovery and documentation of changes in environmental systems, but also as an enterprise whose fruits validate the allocation of effort and scarce funds to monitoring. In simple terms, we may distinguish between the detection of change in some ecosystem attribute versus the investigation of causes and consequences associated with that change. The statistical framework known as structural equation modeling (SEM) can contribute to both detection of changes and the search for causes. This chapter summarizes some of the capabilities of SEM and shows a few ways it can be used to model temporal change. Because of its ability to test hypotheses about whether rates of change are zero or nonzero, it can be used for change detection with repeated-measures data. As more of the capabilities of SEM are presented, its capacity for evaluating causal networks is highlighted. Here is where its potential for making a unique contribution to the analysis of long-term monitoring data is revealed. Thus, one?s primary motivation for using SEM with monitoring data will be to investigate hypotheses about what factors may be driving change. In this chapter, it will be necessary to first introduce notation to describe the elements of structural equation models (SE models) so as to permit an unambiguous presentation of their various forms. The first part of the chapter works through the fundamental features of models of increasing complexity, while the second part of the chapter illustrates several of these possibilities using a real example.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Design and analysis of long-term ecological monitoring studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","isbn":"9780521139298","usgsCitation":"Grace, J.B., Keeley, J.E., Johnson, D., and Bollen, A.K., 2012, Structural equation modeling and the analysis of long-term monitoring data, chap. 15 <i>of</i> Design and analysis of long-term ecological monitoring studies, p. 325-358.","productDescription":"34 p.","startPage":"325","endPage":"358","numberOfPages":"34","ipdsId":"IP-026622","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":366941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":769269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":769270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Darren 0000-0002-0502-6045 johnsond@usgs.gov","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":3663,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","email":"johnsond@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":769271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bollen, A Kenneth Kenneth","contributorId":115504,"corporation":false,"usgs":true,"family":"Bollen","given":"A","suffix":"Kenneth","email":"","middleInitial":"Kenneth","affiliations":[],"preferred":false,"id":514176,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048356,"text":"70048356 - 2012 - Extended Kalman Filter framework for forecasting shoreline evolution","interactions":[],"lastModifiedDate":"2013-09-23T11:29:52","indexId":"70048356","displayToPublicDate":"2012-12-31T11:24:00","publicationYear":"2012","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":"Extended Kalman Filter framework for forecasting shoreline evolution","docAbstract":"A shoreline change model incorporating both long- and short-term evolution is integrated into a data assimilation framework that uses sparse observations to generate an updated forecast of shoreline position and to estimate unobserved geophysical variables and model parameters. Application of the assimilation algorithm provides quantitative statistical estimates of combined model-data forecast uncertainty which is crucial for developing hazard vulnerability assessments, evaluation of prediction skill, and identifying future data collection needs. Significant attention is given to the estimation of four non-observable parameter values and separating two scales of shoreline evolution using only one observable morphological quantity (i.e. shoreline position).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012GL052180","usgsCitation":"Long, J., and Plant, N.G., 2012, Extended Kalman Filter framework for forecasting shoreline evolution: Geophysical Research Letters, v. 39, no. 13, 6 p., https://doi.org/10.1029/2012GL052180.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-037643","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474179,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gl052180","text":"Publisher Index Page"},{"id":278002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278001,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL052180"},{"id":277997,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/2012GL052180/abstract"}],"volume":"39","issue":"13","noUsgsAuthors":false,"publicationDate":"2012-07-07","publicationStatus":"PW","scienceBaseUri":"524162e5e4b0ec672f073ae8","chorus":{"doi":"10.1029/2012gl052180","url":"http://dx.doi.org/10.1029/2012gl052180","publisher":"Wiley-Blackwell","authors":"Long Joseph W., Plant Nathaniel G.","journalName":"Geophysical Research Letters","publicationDate":"7/2012"},"contributors":{"authors":[{"text":"Long, Joseph","contributorId":15106,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","affiliations":[],"preferred":false,"id":484406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484405,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}