{"pageNumber":"681","pageRowStart":"17000","pageSize":"25","recordCount":40797,"records":[{"id":70044357,"text":"70044357 - 2012 - Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","interactions":[],"lastModifiedDate":"2013-04-09T14:54:58","indexId":"70044357","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","docAbstract":"Improved predictions of hyporheic exchange based on easily measured physical variables are needed to improve assessment of solute transport and reaction processes in watersheds. Here we compare physically based model predictions for an Indiana stream with stream tracer results interpreted using the Transient Storage Model (TSM). We parameterized the physically based, Multiscale Model (MSM) of stream-groundwater interactions with measured stream planform and discharge, stream velocity, streambed hydraulic conductivity and porosity, and topography of the streambed at distinct spatial scales (i.e., ripple, bar, and reach scales). We predicted hyporheic exchange fluxes and hyporheic residence times using the MSM. A Continuous Time Random Walk (CTRW) model was used to convert the MSM output into predictions of in stream solute transport, which we compared with field observations and TSM parameters obtained by fitting solute transport data. MSM simulations indicated that surface-subsurface exchange through smaller topographic features such as ripples was much faster than exchange through larger topographic features such as bars. However, hyporheic exchange varies nonlinearly with groundwater discharge owing to interactions between flows induced at different topographic scales. MSM simulations showed that groundwater discharge significantly decreased both the volume of water entering the subsurface and the time it spent in the subsurface. The MSM also characterized longer timescales of exchange than were observed by the tracer-injection approach. The tracer data, and corresponding TSM fits, were limited by tracer measurement sensitivity and uncertainty in estimates of background tracer concentrations. Our results indicate that rates and patterns of hyporheic exchange are strongly influenced by a continuum of surface-subsurface hydrologic interactions over a wide range of spatial and temporal scales rather than discrete processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011WR011582","usgsCitation":"Stonedahl, S.H., Harvey, J.W., Detty, J., Aubeneau, A., and Packman, A., 2012, Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model: Water Resources Research, v. 48, no. 10, W10513, https://doi.org/10.1029/2011WR011582.","productDescription":"W10513","ipdsId":"IP-040699","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011582","text":"Publisher Index Page"},{"id":270711,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011582"},{"id":270712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-06","publicationStatus":"PW","scienceBaseUri":"51653871e4b077fa94dae00c","contributors":{"authors":[{"text":"Stonedahl, Susa H.","contributorId":66145,"corporation":false,"usgs":true,"family":"Stonedahl","given":"Susa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detty, Joel","contributorId":12347,"corporation":false,"usgs":true,"family":"Detty","given":"Joel","email":"","affiliations":[],"preferred":false,"id":475362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aubeneau, Antoine","contributorId":44057,"corporation":false,"usgs":true,"family":"Aubeneau","given":"Antoine","email":"","affiliations":[],"preferred":false,"id":475364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":15092,"corporation":false,"usgs":true,"family":"Packman","given":"Aaron I.","affiliations":[],"preferred":false,"id":475363,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042900,"text":"70042900 - 2012 - Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific Northwest","interactions":[],"lastModifiedDate":"2013-04-13T18:49:07","indexId":"70042900","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific Northwest","docAbstract":"Recent disasters highlight the threat that tsunamis pose to coastal communities. When developing tsunami-education efforts and vertical-evacuation strategies, emergency managers need to understand how much time it could take for a coastal population to reach higher ground before tsunami waves arrive. To improve efforts to model pedestrian evacuations from tsunamis, we examine the sensitivity of least-cost-distance models to variations in modeling approaches, data resolutions, and travel-rate assumptions. We base our observations on the assumption that an anisotropic approach that uses path-distance algorithms and accounts for variations in land cover and directionality in slope is the most realistic of an actual evacuation landscape. We focus our efforts on the Long Beach Peninsula in Washington (USA), where a substantial residential and tourist population is threatened by near-field tsunamis related to a potential Cascadia subduction zone earthquake. Results indicate thousands of people are located in areas where evacuations to higher ground will be difficult before arrival of the first tsunami wave. Deviations from anisotropic modeling assumptions substantially influence the amount of time likely needed to reach higher ground. Across the entire study, changes in resolution of elevation data has a greater impact on calculated travel times than changes in land-cover resolution. In particular areas, land-cover resolution had a substantial impact when travel-inhibiting waterways were not reflected in small-scale data. Changes in travel-speed parameters had a substantial impact also, suggesting the importance of public-health campaigns as a tsunami risk-reduction strategy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s11069-011-9994-2","usgsCitation":"Wood, N.J., and Schmidtlein, M.C., 2012, Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the US Pacific Northwest: Natural Hazards, v. 62, no. 2, p. 275-300, https://doi.org/10.1007/s11069-011-9994-2.","productDescription":"26 p.","startPage":"275","endPage":"300","ipdsId":"IP-028922","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-011-9994-2","text":"Publisher Index Page"},{"id":270877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270876,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-011-9994-2"}],"country":"United States","state":"Washington","otherGeospatial":"Long Beach Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.84,45.54 ], [ -124.84,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.84,45.54 ] ] ] } } ] }","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-16","publicationStatus":"PW","scienceBaseUri":"53cd4d40e4b0b290850f16d8","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidtlein, Mathew C.","contributorId":90999,"corporation":false,"usgs":true,"family":"Schmidtlein","given":"Mathew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":472538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042741,"text":"70042741 - 2012 - A perspective on modern pesticides, pelagic fish declines, and unknown ecological resilience in highly managed ecosystems","interactions":[],"lastModifiedDate":"2021-03-30T14:15:29.322183","indexId":"70042741","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"A perspective on modern pesticides, pelagic fish declines, and unknown ecological resilience in highly managed ecosystems","docAbstract":"Pesticides applied on land are commonly transported by runoff or spray drift to aquatic ecosystems, where they are potentially toxic to fishes and other nontarget organisms. Pesticides add to and interact with other stressors of ecosystem processes, including surface-water diversions, losses of spawning and rearing habitats, nonnative species, and harmful algal blooms. Assessing the cumulative effects of pesticides on species or ecological functions has been difficult for historical, legal, conceptual, and practical reasons. To explore these challenges, we examine current-use (modern) pesticides and their potential connections to the abundances of fishes in the San Francisco Estuary (California). Declines in delta smelt (Hypomesus transpacificus), Chinook salmon (Oncorhynchus tshawytscha), and other species have triggered mandatory and expensive management actions in the urbanizing estuary and agriculturally productive Central Valley. Our inferences are transferable to other situations in which toxics may drive changes in ecological status and trends.","language":"English","publisher":"American Institute of Biological Sciences","publisherLocation":"Washington, D.C.","doi":"10.1525/bio.2012.62.4.13","usgsCitation":"Scholz, N.L., Fleishman, E., Brown, L., Werner, I., Johnson, M.L., Brooks, M.L., Mitchelmore, C., and Schlenk, D., 2012, A perspective on modern pesticides, pelagic fish declines, and unknown ecological resilience in highly managed ecosystems: BioScience, v. 62, no. 4, p. 428-434, https://doi.org/10.1525/bio.2012.62.4.13.","productDescription":"7 p.","startPage":"428","endPage":"434","ipdsId":"IP-021615","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2012.62.4.13","text":"Publisher Index Page"},{"id":268394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"62","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4a42e4b0b290850efa8f","contributors":{"authors":[{"text":"Scholz, Nathaniel L.","contributorId":51618,"corporation":false,"usgs":true,"family":"Scholz","given":"Nathaniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":472139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleishman, Erica","contributorId":11863,"corporation":false,"usgs":true,"family":"Fleishman","given":"Erica","affiliations":[],"preferred":false,"id":472135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":69398,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","affiliations":[],"preferred":false,"id":472140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werner, Inge","contributorId":38030,"corporation":false,"usgs":true,"family":"Werner","given":"Inge","email":"","affiliations":[],"preferred":false,"id":472138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Michael L.","contributorId":97781,"corporation":false,"usgs":true,"family":"Johnson","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":472141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Marjorie L.","contributorId":30108,"corporation":false,"usgs":true,"family":"Brooks","given":"Marjorie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":472137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mitchelmore, Carys L.","contributorId":28499,"corporation":false,"usgs":true,"family":"Mitchelmore","given":"Carys L.","affiliations":[],"preferred":false,"id":472136,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schlenk, Daniel","contributorId":99845,"corporation":false,"usgs":true,"family":"Schlenk","given":"Daniel","affiliations":[],"preferred":false,"id":472142,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"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":70042757,"text":"70042757 - 2012 - Why the 2002 Denali fault rupture propagated onto the Totschunda fault: implications for fault branching and seismic hazards","interactions":[],"lastModifiedDate":"2013-03-26T16:17:42","indexId":"70042757","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Why the 2002 Denali fault rupture propagated onto the Totschunda fault: implications for fault branching and seismic hazards","docAbstract":"The propagation of the rupture of the M<sub>w</sub>7.9 Denali fault earthquake from the central Denali fault onto the Totschunda fault has provided a basis for dynamic models of fault branching in which the angle of the regional or local prestress relative to the orientation of the main fault and branch plays a principal role in determining which fault branch is taken. GeoEarthScope LiDAR and paleoseismic data allow us to map the structure of the Denali-Totschunda fault intersection and evaluate controls of fault branching from a geological perspective. LiDAR data reveal the Denali-Totschunda fault intersection is structurally simple with the two faults directly connected. At the branch point, 227.2 km east of the 2002 epicenter, the 2002 rupture diverges southeast to become the Totschunda fault. We use paleoseismic data to propose that differences in the accumulated strain on each fault segment, which express differences in the elapsed time since the most recent event, was one important control of the branching direction. We suggest that data on event history, slip rate, paleo offsets, fault geometry and structure, and connectivity, especially on high slip rate-short recurrence interval faults, can be used to assess the likelihood of branching and its direction. Analysis of the Denali-Totschunda fault intersection has implications for evaluating the potential for a rupture to propagate across other types of fault intersections and for characterizing sources of future large earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JB008918","usgsCitation":"Schwartz, D.P., Haeussler, P.J., Seitz, G., and Dawson, T.E., 2012, Why the 2002 Denali fault rupture propagated onto the Totschunda fault: implications for fault branching and seismic hazards: Journal of Geophysical Research B: Solid Earth, v. 117, no. B11, B11304, https://doi.org/10.1029/2011JB008918.","productDescription":"B11304","ipdsId":"IP-032223","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jb008918","text":"Publisher Index Page"},{"id":270223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270222,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JB008918"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"117","issue":"B11","noUsgsAuthors":false,"publicationDate":"2012-11-15","publicationStatus":"PW","scienceBaseUri":"5152c3bce4b01197b08e9d2b","contributors":{"authors":[{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":472173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":472172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seitz, Gordon G.","contributorId":17303,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon G.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":472174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":472175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044123,"text":"70044123 - 2012 - Effects of low-density feeding on elk–fetus contact rates on Wyoming feedgrounds","interactions":[],"lastModifiedDate":"2013-05-09T11:41:58","indexId":"70044123","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of low-density feeding on elk–fetus contact rates on Wyoming feedgrounds","docAbstract":"High seroprevalance for Brucella abortus among elk on Wyoming feedgrounds suggests that supplemental feeding may influence parasite transmission and disease dynamics by altering the rate at which elk contact infectious materials in their environment. We used proximity loggers and video cameras to estimate rates of elk-to-fetus contact (the primary source of brucellosis transmission) during winter supplemental feeding. We compared contact rates during high-density and low-density (LD) feeding treatments that provided the same total amount of food distributed over different areas. Low-density feeding led to >70% reductions in total number of contacts and number of individuals contacting a fetus. Proximity loggers and video cameras provided similar estimates of elk–fetus contact rates. Elk contacted fetuses and random control points equally, suggesting that elk were not attracted to fetuses but encountered them incidentally while feeding. The modeled relationship between contact rate and disease prevalence is nonlinear and LD feeding may result in large reductions in brucellosis prevalence, but this depends on the amount of transmission that occurs on and off feedgrounds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.331","usgsCitation":"Creech, T., Cross, P.C., Scurlock, B.M., Maichak, E., Rogerson, J., Henningsen, J., and Creel, S., 2012, Effects of low-density feeding on elk–fetus contact rates on Wyoming feedgrounds: Journal of Wildlife Management, v. 76, no. 5, p. 877-886, https://doi.org/10.1002/jwmg.331.","productDescription":"10 p.","startPage":"877","endPage":"886","ipdsId":"IP-024904","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.331"}],"volume":"76","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-01-26","publicationStatus":"PW","scienceBaseUri":"518cc567e4b05ebc8f7cc139","contributors":{"authors":[{"text":"Creech, Tyler G.","contributorId":89422,"corporation":false,"usgs":true,"family":"Creech","given":"Tyler G.","affiliations":[],"preferred":false,"id":474841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":474842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maichak, Eric","contributorId":36826,"corporation":false,"usgs":true,"family":"Maichak","given":"Eric","email":"","affiliations":[],"preferred":false,"id":474840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogerson, Jared D.","contributorId":106401,"corporation":false,"usgs":true,"family":"Rogerson","given":"Jared D.","affiliations":[],"preferred":false,"id":474843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henningsen, John C.","contributorId":8358,"corporation":false,"usgs":true,"family":"Henningsen","given":"John C.","affiliations":[],"preferred":false,"id":474838,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":474839,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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. 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,{"id":70044376,"text":"70044376 - 2012 - Demand surge following earthquakes","interactions":[],"lastModifiedDate":"2013-06-17T20:45:02","indexId":"70044376","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Demand surge following earthquakes","docAbstract":"Demand surge is understood to be a socio-economic phenomenon where repair costs for the same damage are higher after large- versus small-scale natural disasters. It has reportedly increased monetary losses by 20 to 50%. In previous work, a model for the increased costs of reconstruction labor and materials was developed for hurricanes in the Southeast United States. The model showed that labor cost increases, rather than the material component, drove the total repair cost increases, and this finding could be extended to earthquakes. A study of past large-scale disasters suggested that there may be additional explanations for demand surge. Two such explanations specific to earthquakes are the exclusion of insurance coverage for earthquake damage and possible concurrent causation of damage from an earthquake followed by fire or tsunami. Additional research into these aspects might provide a better explanation for increased monetary losses after large- vs. small-scale earthquakes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IAEE","publisherLocation":"Tokyo, Japan","usgsCitation":"Olsen, A.H., 2012, Demand surge following earthquakes, <i>in</i> Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28, 6 p.","productDescription":"6 p.","ipdsId":"IP-038003","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":273877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273876,"type":{"id":15,"text":"Index Page"},"url":"https://www.nicee.org/wcee/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02fe8e4b0ee1529ed3cbd","contributors":{"authors":[{"text":"Olsen, Anna H. aolsen@usgs.gov","contributorId":4703,"corporation":false,"usgs":true,"family":"Olsen","given":"Anna","email":"aolsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":475463,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044387,"text":"70044387 - 2012 - The GED4GEM project: development of a Global Exposure Database for the Global Earthquake Model initiative","interactions":[],"lastModifiedDate":"2013-06-24T13:30:45","indexId":"70044387","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The GED4GEM project: development of a Global Exposure Database for the Global Earthquake Model initiative","docAbstract":"In order to quantify earthquake risk of any selected region or a country of the world within the Global Earthquake Model (GEM) framework (www.globalquakemodel.org/), a systematic compilation of building inventory and population exposure is indispensable. Through the consortium of leading institutions and by engaging the domain-experts from multiple countries, the GED4GEM project has been working towards the development of a first comprehensive publicly available Global Exposure Database (GED). This geospatial exposure database will eventually facilitate global earthquake risk and loss estimation through GEM’s OpenQuake platform. This paper provides an overview of the GED concepts, aims, datasets, and inference methodology, as well as the current implementation scheme, status and way forward.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEM","usgsCitation":"Gamba, P., Cavalca, D., Jaiswal, K.S., Huyck, C., and Crowley, H., 2012, The GED4GEM project: development of a Global Exposure Database for the Global Earthquake Model initiative, <i>in</i> The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal, 9 p.","productDescription":"9 p.","ipdsId":"IP-037873","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274108,"type":{"id":11,"text":"Document"},"url":"https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_3240.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a6be4b0a50a6e8f5849","contributors":{"authors":[{"text":"Gamba, P.","contributorId":72281,"corporation":false,"usgs":true,"family":"Gamba","given":"P.","email":"","affiliations":[],"preferred":false,"id":475497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cavalca, D.","contributorId":59327,"corporation":false,"usgs":true,"family":"Cavalca","given":"D.","email":"","affiliations":[],"preferred":false,"id":475495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaiswal, K. S.","contributorId":105564,"corporation":false,"usgs":false,"family":"Jaiswal","given":"K.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huyck, C.","contributorId":62501,"corporation":false,"usgs":true,"family":"Huyck","given":"C.","email":"","affiliations":[],"preferred":false,"id":475496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crowley, H.","contributorId":57348,"corporation":false,"usgs":true,"family":"Crowley","given":"H.","affiliations":[],"preferred":false,"id":475494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043558,"text":"70043558 - 2012 - Performance of fish passage structures at upstream barriers to migration","interactions":[],"lastModifiedDate":"2013-02-28T14:42:18","indexId":"70043558","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Performance of fish passage structures at upstream barriers to migration","docAbstract":"Attraction and passage efficiency were reviewed and compared from 19 monitoring studies that produced data for evaluations of pool-and-weir, Denil, vertical-slot and nature-like fishways. Data from 26 species of anadromous and potamodromous fishes from six countries were separated by year and taxonomic family into a matrix with 101 records. Attraction performance was highly variable for the following fishway structures: pool-and-weir (attraction range = 29–100%, mean = 77%, median = 81%), vertical-slot (attraction range = 0–100%, mean = 63%, median = 80%), Denil (attraction range = 21–100%, mean = 61%, median = 57%) and nature-like (attraction range = 0–100%, mean = 48%, median = 50%). Mean passage efficiency was inversely related to mean attraction efficiency by fishway structure type, with the highest passage for nature-like fishways (range = 0–100%, mean = 70%, median = 86%), followed by Denil (range = 0–97%, mean = 51%, median = 38%), vertical-slot (range = 0–100%, mean = 45%, median = 43%) and pool-and-weir (range = 0–100%, mean = 40%, median = 34%). Principal components analysis and logistic regression modelling indicated that variation in fish attraction was driven by biological characteristics of the fish that were studied, whereas variation in fish passage was related to fishway type, slope and elevation change. This meta-analysis revealed that the species of fish monitored and structural design of the fishways have strong implications for both attraction and passage performance, and in most cases, existing data are not sufficient to support design recommendations. Many more fishway evaluations are needed over a range of species, fishway types and configurations to characterize, to optimize and to design new fishways. Furthermore, these studies must be performed in a consistent manner to identify the relative contributions of fish attraction and passage to overall fishway performance at each site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1565","usgsCitation":"Bunt, C., Castro-Santos, T., and Haro, A., 2012, Performance of fish passage structures at upstream barriers to migration: River Research and Applications, v. 28, no. 4, p. 457-478, https://doi.org/10.1002/rra.1565.","productDescription":"22 p.","startPage":"457","endPage":"478","ipdsId":"IP-031133","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":502547,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.umass.edu/fishpassage_journal_articles/927","text":"External Repository"},{"id":268577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268576,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1565"}],"volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-31","publicationStatus":"PW","scienceBaseUri":"51308a94e4b04c194073ae1d","contributors":{"authors":[{"text":"Bunt, C.M.","contributorId":96976,"corporation":false,"usgs":true,"family":"Bunt","given":"C.M.","affiliations":[],"preferred":false,"id":473835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, T. 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":12416,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"T.","affiliations":[],"preferred":false,"id":473834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, A.","contributorId":6792,"corporation":false,"usgs":true,"family":"Haro","given":"A.","email":"","affiliations":[],"preferred":false,"id":473833,"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":70044139,"text":"70044139 - 2012 - Fragilariopsis diatom evolution in Pliocene and Pleistocene Antarctic shelf sediments","interactions":[],"lastModifiedDate":"2018-03-23T14:29:43","indexId":"70044139","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Fragilariopsis diatom evolution in Pliocene and Pleistocene Antarctic shelf sediments","docAbstract":"The late Pliocene – early Pleistocene sediment record in the AND-1B core from the McMurdo Sound, Ross Sea, Antarctica, displays a rich diversity and high abundance of diatoms, including several new morphologies within the genus Fragilariopsis. These new morphologies exhibit similarities to the extinct late Miocene/early Pliocene species Fragilariopsis aurica Gersonde and Fragilariopsis praecurta Gersonde, as well as to the modern sea ice-associated species Fragilariopsis ritscheri Hustedt and Fragilariopsis obliquecostata van Heurck. From the diverse morphologies present, we use light microscopy and scanning electron microscopy to identify and describe the characteristics of three new taxa, Fragilariopsis laqueata Riesselman, Fragilariopsis bohatyi Sjunneskog et Riesselman, and Fragilariopsis robusta Sjunneskog, which are common in the diatom-bearing intervals from ~3.2 to 1.95 Ma. Comparisons with extant and extinct species are made to assess possible environmental affinities, evolutionary relationships, and potential for future biostratigraphic utility. This complex of newmorphologies diversified as conditions cooled during the Pliocene, then went into decline as heavy sea ice conditions of the Pleistocene were established. Only the lineage of F. robusta appears to continue into the late Pleistocene, where it is interpreted to have evolved into F. obliquecostata.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Micropaleontology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","usgsCitation":"Sjunneskog, C., Riesselman, C., Winter, D., and Scherer, R., 2012, Fragilariopsis diatom evolution in Pliocene and Pleistocene Antarctic shelf sediments: Micropaleontology, v. 58, no. 3, p. 273-289.","productDescription":"17 p.","startPage":"273","endPage":"289","ipdsId":"IP-039162","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":272783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,-60.0 ], [ 180.0,-60.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"58","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a08be0e4b0e42455806572","contributors":{"authors":[{"text":"Sjunneskog, Charlotte","contributorId":102765,"corporation":false,"usgs":true,"family":"Sjunneskog","given":"Charlotte","email":"","affiliations":[],"preferred":false,"id":474867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":474864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winter, Diane","contributorId":79377,"corporation":false,"usgs":true,"family":"Winter","given":"Diane","email":"","affiliations":[],"preferred":false,"id":474866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scherer, Reed","contributorId":62907,"corporation":false,"usgs":true,"family":"Scherer","given":"Reed","email":"","affiliations":[],"preferred":false,"id":474865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043908,"text":"70043908 - 2012 - Drought drove forest decline and dune building in eastern upper Michigan, USA, as the upper Great Lakes became closed basins","interactions":[],"lastModifiedDate":"2013-05-02T15:12:05","indexId":"70043908","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Drought drove forest decline and dune building in eastern upper Michigan, USA, as the upper Great Lakes became closed basins","docAbstract":"Current models of landscape response to Holocene climate change in midcontinent North America largely reconcile Earth orbital and atmospheric climate forcing with pollen-based forest histories on the east and eolian chronologies in Great Plains grasslands on the west. However, thousands of sand dunes spread across 12,000 km<sup>2</sup> in eastern upper Michigan (EUM), more than 500 km east of the present forest-prairie ecotone, present a challenge to such models. We use 65 optically stimulated luminescence (OSL) ages on quartz sand deposited in silt caps (n = 8) and dunes (n = 57) to document eolian activity in EUM. Dune building was widespread ca. 10–8 ka, indicating a sharp, sustained decline in forest cover during that period. This decline was roughly coincident with hydrologic closure of the upper Great Lakes, but temporally inconsistent with most pollen-based models that imply canopy closure throughout the Holocene. Early Holocene forest openings are rarely recognized in pollen sums from EUM because faint signatures of non-arboreal pollen are largely obscured by abundant and highly mobile pine pollen. Early Holocene spikes in nonarboreal pollen are recorded in cores from small ponds, but suggest only a modest extent of forest openings. OSL dating of dune emplacement provides a direct, spatially explicit archive of greatly diminished forest cover during a very dry climate in eastern midcontinent North America ca. 10–8 ka.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GSA","doi":"10.1130/G32937.1","usgsCitation":"Loope, W.L., Loope, H.M., Goble, R.J., Fisher, T.G., Lytle, D.E., Legg, R.J., Wysocki, D., Hanson, P.R., and Young, A., 2012, Drought drove forest decline and dune building in eastern upper Michigan, USA, as the upper Great Lakes became closed basins: Geology, v. 40, no. 4, p. 315-318, https://doi.org/10.1130/G32937.1.","productDescription":"4 p.","startPage":"315","endPage":"318","ipdsId":"IP-028146","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271773,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32937.1"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-02-28","publicationStatus":"PW","scienceBaseUri":"51838ae8e4b0a21483941a9d","contributors":{"authors":[{"text":"Loope, Walter L. wloope@usgs.gov","contributorId":4616,"corporation":false,"usgs":true,"family":"Loope","given":"Walter","email":"wloope@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":474439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loope, Henry M.","contributorId":79381,"corporation":false,"usgs":true,"family":"Loope","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goble, Ronald J.","contributorId":61319,"corporation":false,"usgs":true,"family":"Goble","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Timothy G.","contributorId":45659,"corporation":false,"usgs":true,"family":"Fisher","given":"Timothy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lytle, David E. dlytle@usgs.gov","contributorId":343,"corporation":false,"usgs":true,"family":"Lytle","given":"David","email":"dlytle@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":474438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Legg, Robert J.","contributorId":30527,"corporation":false,"usgs":true,"family":"Legg","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wysocki, Douglas A.","contributorId":61320,"corporation":false,"usgs":true,"family":"Wysocki","given":"Douglas A.","affiliations":[],"preferred":false,"id":474445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanson, Paul R.","contributorId":35214,"corporation":false,"usgs":true,"family":"Hanson","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Young, Aaron R.","contributorId":12353,"corporation":false,"usgs":true,"family":"Young","given":"Aaron R.","affiliations":[],"preferred":false,"id":474440,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043288,"text":"70043288 - 2012 - Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","interactions":[],"lastModifiedDate":"2014-09-18T13:12:41","indexId":"70043288","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","docAbstract":"Investigating the relationship between factors (climate change, atmospheric CO<sub>2</sub> concentrations enrichment, and vegetation structure) and hydrological processes is important for understanding and predicting the interaction between the hydrosphere and biosphere. The Integrated Biosphere Simulator (IBIS) was used to evaluate the effects of climate change, rising CO<sub>2</sub>, and vegetation structure on hydrological processes in China at the end of the 21st century. Seven simulations were implemented using the assemblage of the IPCC climate and CO<sub>2</sub> concentration scenarios, SRES A2 and SRES B1. Analysis results suggest that (1) climate change will have increasing effects on runoff, evapotranspiration (ET), transpiration (T), and transpiration ratio (transpiration/evapotranspiration, T/E) in most hydrological regions of China except in the southernmost regions; (2) elevated CO<sub>2</sub> concentrations will have increasing effects on runoff at the national scale, but at the hydrological region scale, the physiology effects induced by elevated CO<sub>2</sub> concentration will depend on the vegetation types, climate conditions, and geographical background information with noticeable decreasing effects shown in the arid Inland region of China; (3) leaf area index (LAI) compensation effect and stomatal closure effect are the dominant factors on runoff in the arid Inland region and southern moist hydrological regions, respectively; (4) the magnitudes of climate change (especially the changing precipitation pattern) effects on the water cycle are much larger than those of the elevated CO<sub>2</sub> concentration effects; however, increasing CO<sub>2</sub> concentration will be one of the most important modifiers to the water cycle; (5) the water resource condition will be improved in northern China but depressed in southernmost China under the IPCC climate change scenarios, SRES A2 and SRES B1.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2011.10.010","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Fang, X., Wei, X., Liu, S., and Zhou, G., 2012, Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China: Global and Planetary Change, v. 80-81, p. 123-135, https://doi.org/10.1016/j.gloplacha.2011.10.010.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-028970","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2011.10.010"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"80-81","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc565e4b05ebc8f7cc129","contributors":{"authors":[{"text":"Zhu, Qiuan","contributorId":85065,"corporation":false,"usgs":true,"family":"Zhu","given":"Qiuan","affiliations":[],"preferred":false,"id":473294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":33200,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":473292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":473291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, Xiuqin","contributorId":96566,"corporation":false,"usgs":true,"family":"Fang","given":"Xiuqin","affiliations":[],"preferred":false,"id":473296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":473297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shirong","contributorId":54484,"corporation":false,"usgs":true,"family":"Liu","given":"Shirong","affiliations":[],"preferred":false,"id":473293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Guomo","contributorId":85861,"corporation":false,"usgs":true,"family":"Zhou","given":"Guomo","affiliations":[],"preferred":false,"id":473295,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046265,"text":"70046265 - 2012 - Density-dependent nest predation in waterfowl: the relative importance of nest density versus nest dispersion","interactions":[],"lastModifiedDate":"2017-07-01T17:20:52","indexId":"70046265","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Density-dependent nest predation in waterfowl: the relative importance of nest density versus nest dispersion","docAbstract":"When nest predation levels are very high or very low, the absolute range of observable nest success is constrained (a floor/ceiling effect), and it may be more difficult to detect density-dependent nest predation. Density-dependent nest predation may be more detectable in years with moderate predation rates, simply because there can be a greater absolute difference in nest success between sites. To test this, we replicated a predation experiment 10 years after the original study, using both natural and artificial nests, comparing a year when overall rates of nest predation were high (2000) to a year with moderate nest predation (2010). We found no evidence for density-dependent predation on artificial nests in either year, indicating that nest predation is not density-dependent at the spatial scale of our experimental replicates (1-ha patches). Using nearest-neighbor distances as a measure of nest dispersion, we also found little evidence for “dispersion-dependent” predation on artificial nests. However, when we tested for dispersion-dependent predation using natural nests, we found that nest survival increased with shorter nearest-neighbor distances, and that neighboring nests were more likely to share the same nest fate than non-adjacent nests. Thus, at small spatial scales, density-dependence appears to operate in the opposite direction as predicted: closer nearest neighbors are more likely to be successful. We suggest that local nest dispersion, rather than larger-scale measures of nest density per se, may play a more important role in density-dependent nest predation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00442-011-2228-1","usgsCitation":"Ackerman, J., Ringelman, K.M., and Eadie, J., 2012, Density-dependent nest predation in waterfowl: the relative importance of nest density versus nest dispersion: Oecologia, v. 169, no. 3, p. 695-702, https://doi.org/10.1007/s00442-011-2228-1.","productDescription":"8 p.","startPage":"695","endPage":"702","ipdsId":"IP-030592","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":273239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273238,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-011-2228-1"}],"volume":"169","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-12-18","publicationStatus":"PW","scienceBaseUri":"51af0c66e4b08a3322c2c29c","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":479351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringelman, Kevin M.","contributorId":95806,"corporation":false,"usgs":true,"family":"Ringelman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eadie, J.M.","contributorId":8034,"corporation":false,"usgs":true,"family":"Eadie","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":479352,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044410,"text":"70044410 - 2012 - Resolving hyporheic and groundwater components of streambed water flux","interactions":[],"lastModifiedDate":"2013-04-09T15:25:50","indexId":"70044410","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Resolving hyporheic and groundwater components of streambed water flux","docAbstract":"Hyporheic and groundwater fluxes typically occur together in permeable sediments beneath flowing stream water. However, streambed water fluxes quantified using the thermal method are usually interpreted as representing either groundwater or hyporheic fluxes. Our purpose was to improve understanding of co-occurring groundwater and hyporheic fluxes using streambed temperature measurements and analysis of one-dimensional heat transport in shallow streambeds. First, we examined how changes in hyporheic and groundwater fluxes affect their relative magnitudes by reevaluating previously published simulations. These indicated that flux magnitudes are largely independent until a threshold is crossed, past which hyporheic fluxes are diminished by much larger (1000-fold) groundwater fluxes. We tested accurate quantification of co-occurring fluxes using one-dimensional approaches that are appropriate for analyzing streambed temperature data collected at field sites. The thermal analytical method, which uses an analytical solution to the one-dimensional heat transport equation, was used to analyze results from a numerical heat transport model, in which hyporheic flow was represented as increased thermal dispersion at shallow depths. We found that co-occurring groundwater and hyporheic fluxes can be quantified in streambeds, although not always accurately. For example, using a temperature time series collected in a sandy streambed, we found that hyporheic and groundwater flow could both be detected when thermal dispersion due to hyporheic flow was significant compared to thermal conduction. We provide guidance for when thermal data can be used to quantify both hyporheic and groundwater fluxes, and we show that neglecting thermal dispersion may affect accuracy and interpretation of estimated streambed water fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011784","usgsCitation":"Bhaskar, A., Harvey, J.W., and Henry, E.J., 2012, Resolving hyporheic and groundwater components of streambed water flux: Water Resources Research, v. 48, no. 8, W08524, https://doi.org/10.1029/2011WR011784.","productDescription":"W08524","ipdsId":"IP-039262","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011784","text":"Publisher Index Page"},{"id":270719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011784"},{"id":270721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-29","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae017","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":62488,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi S.","affiliations":[],"preferred":false,"id":475539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Eric J.","contributorId":44810,"corporation":false,"usgs":true,"family":"Henry","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043803,"text":"70043803 - 2012 - Demographics, diet, movements, and survival of an isolated, unmanaged raccoon <i>Procyon lotor</i> (Procyonidae, Carnivora) population on the Outer Banks of North Carolina","interactions":[],"lastModifiedDate":"2013-02-21T13:35:12","indexId":"70043803","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2652,"text":"Mammalia","active":true,"publicationSubtype":{"id":10}},"title":"Demographics, diet, movements, and survival of an isolated, unmanaged raccoon <i>Procyon lotor</i> (Procyonidae, Carnivora) population on the Outer Banks of North Carolina","docAbstract":"Raccoons (<i>Procyon lotor</i>) are highly adaptable meso-carnivores that inhabit many environments, including the Atlantic barrier islands, where their role as predators of declining, beach-nesting bird and turtle species is of particular interest. Population models that improve our understanding of predator-prey dynamics are receiving increasing attention in the literature; however, their effective application requires site-specific information on population parameters. We studied an unharvested raccoon population on the Outer Banks of North Carolina and evaluated spatial and seasonal differences in a number of population/demographic factors of raccoons inhabiting areas of high and low human activity. Raccoons denned and foraged primarily in salt marsh habitats but shifted their movements in response to changes in seasonal resource conditions. The population was skewed toward older animals and exhibited delayed breeding, typical of populations at high density with few sources of mortality. Diet and movement analysis indicated shorebird and turtle predation was attributed to a small number of individual raccoons. Although seasonal resources appeared adequate to sustain a high population density of raccoons, poor body condition and low recruitment suggested a population near carrying capacity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mammalia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Walter de Gruyter","publisherLocation":"Berlin, Germany","doi":"10.1515/mammalia-2011-0138","usgsCitation":"Parsons, A.W., Simons, T.R., O’Connell, A.F., and Stoskopf, M.K., 2012, Demographics, diet, movements, and survival of an isolated, unmanaged raccoon <i>Procyon lotor</i> (Procyonidae, Carnivora) population on the Outer Banks of North Carolina: Mammalia, v. 77, no. 1, p. 21-30, https://doi.org/10.1515/mammalia-2011-0138.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-025109","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":267889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267888,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1515/mammalia-2011-0138"}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.3219,33.841 ], [ -84.3219,36.5 ], [ -75.46,36.5 ], [ -75.46,33.841 ], [ -84.3219,33.841 ] ] ] } } ] }","volume":"77","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51274ffee4b07fa41a604508","contributors":{"authors":[{"text":"Parsons, Arielle Waldstein","contributorId":68625,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"Waldstein","affiliations":[],"preferred":false,"id":474251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":474250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":474249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoskopf, Michael K.","contributorId":83817,"corporation":false,"usgs":true,"family":"Stoskopf","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043544,"text":"70043544 - 2012 - Assessment of modal-pushover-based scaling procedure for nonlinear response history analysis of ordinary standard bridges","interactions":[],"lastModifiedDate":"2013-04-09T14:02:06","indexId":"70043544","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2199,"text":"Journal of Bridge Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of modal-pushover-based scaling procedure for nonlinear response history analysis of ordinary standard bridges","docAbstract":"The earthquake engineering profession is increasingly utilizing nonlinear response history analyses (RHA) to evaluate seismic performance of existing structures and proposed designs of new structures. One of the main ingredients of nonlinear RHA is a set of ground motion records representing the expected hazard environment for the structure. When recorded motions do not exist (as is the case in the central United States) or when high-intensity records are needed (as is the case in San Francisco and Los Angeles), ground motions from other tectonically similar regions need to be selected and scaled. The modal-pushover-based scaling (MPS) procedure was recently developed to determine scale factors for a small number of records such that the scaled records provide accurate and efficient estimates of “true” median structural responses. The adjective “accurate” refers to the discrepancy between the benchmark responses and those computed from the MPS procedure. The adjective “efficient” refers to the record-to-record variability of responses. In this paper, the accuracy and efficiency of the MPS procedure are evaluated by applying it to four types of existing Ordinary Standard bridges typical of reinforced concrete bridge construction in California. These bridges are the single-bent overpass, multi-span bridge, curved bridge, and skew bridge. As compared with benchmark analyses of unscaled records using a larger catalog of ground motions, it is demonstrated that the MPS procedure provided an accurate estimate of the engineering demand parameters (EDPs) accompanied by significantly reduced record-to-record variability of the EDPs. Thus, it is a useful tool for scaling ground motions as input to nonlinear RHAs of Ordinary Standard bridges.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Bridge Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)BE.1943-5592.0000259","usgsCitation":"Kalkan, E., and Kwong, N., 2012, Assessment of modal-pushover-based scaling procedure for nonlinear response history analysis of ordinary standard bridges: Journal of Bridge Engineering, v. 17, no. 2, p. 1223-1242, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000259.","productDescription":"20 p.","startPage":"1223","endPage":"1242","ipdsId":"IP-026102","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":270703,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)BE.1943-5592.0000259"},{"id":270704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51653865e4b077fa94dadf7d","contributors":{"authors":[{"text":"Kalkan, E. 0000-0002-9138-9407","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":8212,"corporation":false,"usgs":true,"family":"Kalkan","given":"E.","affiliations":[],"preferred":false,"id":473816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwong, N.","contributorId":52062,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","affiliations":[],"preferred":false,"id":473817,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003596,"text":"70003596 - 2012 - Estimating and predicting collection probability of fish at dams using multistate modeling","interactions":[],"lastModifiedDate":"2013-06-10T08:56:00","indexId":"70003596","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and predicting collection probability of fish at dams using multistate modeling","docAbstract":"Dams can be equipped with a bypass that routes a portion of the fish that enter the turbine intakes away\nfrom the powerhouse into flumes, where they can be counted. Daily passage abundance can be estimated by dividing\nthe number of fish counted in the bypass by the sampling rate and then dividing the resulting quotient by\nthe collection probability (i.e., the proportion of the fish population passing the dam that is bypassed). We used\nmultistate mark–recapture modeling to evaluate six candidate models for predicting the collection probabilities of\nradio-tagged subyearling fall Chinook salmon (n = 3,852) as a function of 1–2-d time periods (general model), four\ndifferent combinations of outflow (i.e., the total volume of water passing the dam) and turbine allocation (i.e., the\nproportion of outflow directed through the turbines), and a null (intercept only) model. The best-fit model was\nthe additive combination of turbine allocation and outflow, which explained 71% of the null deviance. Cross validation\nof the best-fit model accounted for the variation that may arise from different data sets and the ensuing\nparameter values on the collection probability estimates and yielded a standard error of 0.613 that can be used to\nconstruct approximate 95% prediction intervals in nonstudy years. Such estimates have been unavailable and will\nbe useful anywhere estimates of daily passage abundance at dams with bypasses are needed to manage migratory\nfishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.694828","usgsCitation":"Plumb, J.M., Connor, W.P., Tiffan, K.F., Moffitt, C.M., Perry, R.W., and Adams, N.S., 2012, Estimating and predicting collection probability of fish at dams using multistate modeling: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1364-1373, https://doi.org/10.1080/00028487.2012.694828.","productDescription":"10 p.","startPage":"1364","endPage":"1373","ipdsId":"IP-028831","costCenters":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273463,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.694828"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-16","publicationStatus":"PW","scienceBaseUri":"51b6f566e4b0097a7158e5aa","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":347882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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":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":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":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":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}]}}
]}