Current methods for controlling the invasive Brown Treesnake (Boiga irregularis) on Guam include a modified minnow trap with a live mouse lure. We investigated the effects on capture success of augmenting these traps with scented guide ropes leading to trap entrances. Initial screening of scent preferences was based on time spent in scented and unscented arms of a Y-maze. Preferences of large and small snakes were scored for six different prey scents (live and carrion gecko, skink, and mouse). Large snakes spent more time in the maze arm scented with live gecko and carrion gecko, whereas small snakes spent more time in the arm scented with carrion mouse and carrion gecko. After the laboratory study, a pilot trapping session was conducted in the field using three treatments (live mouse-scented ropes, carrion gecko-scented ropes, and carrion mouse-scented ropes) and two controls (traps with unscented guide ropes and those with no ropes attached). Contrary to laboratory results, live mouse-scented ropes were most effective. We conducted a second trapping session using live mouse-scented ropes as well as the two controls used in the pilot study. For snakes of below-average to average condition, the number of captures for traps with live mouse-scented ropes was higher than for traps with no ropes. However, for snakes of above-average condition, there were no differences in capture rates between trap treatments. Overall, treatment effects were weaker than latent individual heterogeneity and the influence of snake body size, with large snakes trapped more readily.
","language":"English","publisher":"BioOne","doi":"10.1670/10-026.1","issn":"00221511","usgsCitation":"Mason, L., Savidge, J.A., Rodda, G., and Yackel Adams, A., 2011, Scented guide ropes as a method to enhance brown treesnake (Boiga irregularis) trap capture success on Guam: Journal of Herpetology, v. 45, no. 3, p. 308-312, https://doi.org/10.1670/10-026.1.","productDescription":"5 p.","startPage":"308","endPage":"312","costCenters":[],"links":[{"id":244594,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216708,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1670/10-026.1"}],"country":"United States","state":"Guam","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"12\",\"properties\":{\"name\":\"Guam\",\"nation\":\"USA \"}}]}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b873ce4b08c986b3163ab","contributors":{"authors":[{"text":"Mason, L.C.","contributorId":81339,"corporation":false,"usgs":true,"family":"Mason","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":445658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savidge, J. A.","contributorId":36078,"corporation":false,"usgs":false,"family":"Savidge","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":445659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackel Adams, A. A. 0000-0002-7044-8447","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":16792,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"A. A.","affiliations":[],"preferred":false,"id":445656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034414,"text":"70034414 - 2011 - Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin","interactions":[],"lastModifiedDate":"2021-04-21T15:33:05.290244","indexId":"70034414","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2289,"text":"Journal of Flood Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin","docAbstract":"In Nepal, as the spatial distribution of rain gauges is not sufficient to provide detailed perspective on the highly varied spatial nature of rainfall, satellite‐based rainfall estimates provides the opportunity for timely estimation. This paper presents the flood prediction of Narayani Basin at the Devghat hydrometric station (32 000 km2) using bias‐adjusted satellite rainfall estimates and the Geospatial Stream Flow Model (GeoSFM), a spatially distributed, physically based hydrologic model. The GeoSFM with gridded gauge observed rainfall inputs using kriging interpolation from 2003 was used for calibration and 2004 for validation to simulate stream flow with both having a Nash Sutcliff Efficiency of above 0.7. With the National Oceanic and Atmospheric Administration Climate Prediction Centre's rainfall estimates (CPC_RFE2.0), using the same calibrated parameters, for 2003 the model performance deteriorated but improved after recalibration with CPC_RFE2.0 indicating the need to recalibrate the model with satellite‐based rainfall estimates. Adjusting the CPC_RFE2.0 by a seasonal, monthly and 7‐day moving average ratio, improvement in model performance was achieved. Furthermore, a new gauge‐satellite merged rainfall estimates obtained from ingestion of local rain gauge data resulted in significant improvement in flood predictability. The results indicate the applicability of satellite‐based rainfall estimates in flood prediction with appropriate bias correction.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1753-318X.2011.01121.x","issn":"1753318X","usgsCitation":"Shrestha, M., Artan, G.A., Bajracharya, S., Gautam, D., and Tokar, S., 2011, Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin: Journal of Flood Risk Management, v. 4, no. 4, p. 360-373, https://doi.org/10.1111/j.1753-318X.2011.01121.x.","productDescription":"14 p.","startPage":"360","endPage":"373","costCenters":[],"links":[{"id":244627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216741,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1753-318X.2011.01121.x"}],"country":"Nepal","otherGeospatial":"Narayani Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 83.7158203125,\n 29.36302703778376\n ],\n [\n 83.43017578125,\n 28.536274512989916\n ],\n [\n 86.7919921875,\n 27.430289738862594\n ],\n [\n 87.0556640625,\n 28.05259082333983\n ],\n [\n 83.7158203125,\n 29.36302703778376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5059f0d6e4b0c8380cd4a943","contributors":{"authors":[{"text":"Shrestha, M.S.","contributorId":45547,"corporation":false,"usgs":true,"family":"Shrestha","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":445664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Artan, G. A.","contributorId":50733,"corporation":false,"usgs":false,"family":"Artan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bajracharya, S.R.","contributorId":25387,"corporation":false,"usgs":true,"family":"Bajracharya","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":445663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gautam, D.K.","contributorId":90568,"corporation":false,"usgs":true,"family":"Gautam","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":445667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tokar, S.A.","contributorId":67331,"corporation":false,"usgs":true,"family":"Tokar","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":445666,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035053,"text":"70035053 - 2011 - Quantifying seascape structure: Extending terrestrial spatial pattern metrics to the marine realm","interactions":[],"lastModifiedDate":"2021-03-02T20:14:16.998241","indexId":"70035053","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying seascape structure: Extending terrestrial spatial pattern metrics to the marine realm","docAbstract":"Spatial pattern metrics have routinely been applied to characterize and quantify structural features of terrestrial landscapes and have demonstrated great utility in landscape ecology and conservation planning. The important role of spatial structure in ecology and management is now commonly recognized, and recent advances in marine remote sensing technology have facilitated the application of spatial pattern metrics to the marine environment. However, it is not yet clear whether concepts, metrics, and statistical techniques developed for terrestrial ecosystems are relevant for marine species and seascapes. To address this gap in our knowledge, we reviewed, synthesized, and evaluated the utility and application of spatial pattern metrics in the marine science literature over the past 30 yr (1980 to 2010). In total, 23 studies characterized seascape structure, of which 17 quantified spatial patterns using a 2-dimensional patch-mosaic model and 5 used a continuously varying 3-dimensional surface model. Most seascape studies followed terrestrial-based studies in their search for ecological patterns and applied or modified existing metrics. Only 1 truly unique metric was found (hydrodynamic aperture applied to Pacific atolls). While there are still relatively few studies using spatial pattern metrics in the marine environment, they have suffered from similar misuse as reported for terrestrial studies, such as the lack of a priori considerations or the problem of collinearity between metrics. Spatial pattern metrics offer great potential for ecological research and environmental management in marine systems, and future studies should focus on (1) the dynamic boundary between the land and sea; (2) quantifying 3-dimensional spatial patterns; and (3) assessing and monitoring seascape change.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps09119","issn":"01718630","usgsCitation":"Wedding, L., Christopher, L., Pittman, S., Friedlander, A.M., and Jorgensen, S., 2011, Quantifying seascape structure: Extending terrestrial spatial pattern metrics to the marine realm: Marine Ecology Progress Series, v. 427, p. 219-232, https://doi.org/10.3354/meps09119.","productDescription":"14 p.","startPage":"219","endPage":"232","costCenters":[],"links":[{"id":475057,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09119","text":"Publisher Index Page"},{"id":243220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215414,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps09119"}],"volume":"427","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91dce4b0c8380cd804e6","contributors":{"authors":[{"text":"Wedding, L.M.","contributorId":46786,"corporation":false,"usgs":true,"family":"Wedding","given":"L.M.","affiliations":[],"preferred":false,"id":449057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopher, L.A.","contributorId":18194,"corporation":false,"usgs":true,"family":"Christopher","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":449055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pittman, S.J.","contributorId":88173,"corporation":false,"usgs":true,"family":"Pittman","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":449059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedlander, Alan M. afriedlander@usgs.gov","contributorId":4296,"corporation":false,"usgs":true,"family":"Friedlander","given":"Alan","email":"afriedlander@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":449056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgensen, S.","contributorId":67301,"corporation":false,"usgs":true,"family":"Jorgensen","given":"S.","affiliations":[],"preferred":false,"id":449058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035055,"text":"70035055 - 2011 - Pennsylvanian coniferopsid forests in sabkha facies reveal the nature of seasonal tropical biome","interactions":[],"lastModifiedDate":"2021-03-02T19:52:43.832278","indexId":"70035055","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pennsylvanian coniferopsid forests in sabkha facies reveal the nature of seasonal tropical biome","docAbstract":"Pennsylvanian fossil forests are known from hundreds of sites across tropical Pangea, but nearly all comprise remains of humid Coal Forests. Here we report a unique occurrence of seasonally dry vegetation, preserved in growth position along >5 km of strike, in the Pennsylvanian (early Kasimovian, Missourian) of New Mexico (United States). Analyses of stump anatomy, diameter, and spatial density, coupled with observations of vascular traces and associated megaflora, show that this was a deciduous, mixed-age, coniferopsid woodland (∼100 trees per hectare) with an open canopy. The coniferopsids colonized coastal sabkha facies and show tree rings, confirming growth under seasonally dry conditions. Such woodlands probably served as the source of coniferopsids that replaced Coal Forests farther east in central Pangea during drier climate phases. Thus, the newly discovered woodland helps unravel biome-scale vegetation dynamics and allows calibration of climate models.
","language":"English","publisher":"Geological Society of America.","doi":"10.1130/G31764.1","issn":"00917613","usgsCitation":"Falcon-Lang, H.J., Jud, N., John, N.W., DiMichele, W.A., Chaney, D., and Lucas, S.G., 2011, Pennsylvanian coniferopsid forests in sabkha facies reveal the nature of seasonal tropical biome: Geology, v. 39, no. 4, p. 371-374, https://doi.org/10.1130/G31764.1.","productDescription":"4 p.","startPage":"371","endPage":"374","costCenters":[],"links":[{"id":243253,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215446,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31764.1"}],"country":"United States","state":"New Mexico","county":"Socorro","otherGeospatial":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.852783203125,\n 33.578014746143985\n ],\n [\n -106.01806640624999,\n 33.578014746143985\n ],\n [\n -106.01806640624999,\n 34.72355492704221\n ],\n [\n -107.852783203125,\n 34.72355492704221\n ],\n [\n -107.852783203125,\n 33.578014746143985\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7653e4b0c8380cd7804d","contributors":{"authors":[{"text":"Falcon-Lang, H. J.","contributorId":41220,"corporation":false,"usgs":true,"family":"Falcon-Lang","given":"H.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jud, N.A.","contributorId":97727,"corporation":false,"usgs":true,"family":"Jud","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":449068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, Nelson W.","contributorId":34348,"corporation":false,"usgs":true,"family":"John","given":"Nelson","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":449063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiMichele, William A.","contributorId":97631,"corporation":false,"usgs":true,"family":"DiMichele","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":449067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaney, D.S.","contributorId":47106,"corporation":false,"usgs":true,"family":"Chaney","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":449065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucas, S. G.","contributorId":76934,"corporation":false,"usgs":true,"family":"Lucas","given":"S.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449066,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033819,"text":"70033819 - 2011 - The ShakeOut earthquake source and ground motion simulations","interactions":[],"lastModifiedDate":"2012-12-14T13:49:58","indexId":"70033819","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The ShakeOut earthquake source and ground motion simulations","docAbstract":"The ShakeOut Scenario is premised upon the detailed description of a hypothetical Mw 7.8 earthquake on the southern San Andreas Fault and the associated simulated ground motions. The main features of the scenario, such as its endpoints, magnitude, and gross slip distribution, were defined through expert opinion and incorporated information from many previous studies. Slip at smaller length scales, rupture speed, and rise time were constrained using empirical relationships and experience gained from previous strong-motion modeling. Using this rupture description and a 3-D model of the crust, broadband ground motions were computed over a large region of Southern California. The largest simulated peak ground acceleration (PGA) and peak ground velocity (PGV) generally range from 0.5 to 1.0 g and 100 to 250 cm/s, respectively, with the waveforms exhibiting strong directivity and basin effects. Use of a slip-predictable model results in a high static stress drop event and produces ground motions somewhat higher than median level predictions from NGA ground motion prediction equations (GMPEs).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"EERI","publisherLocation":"Oakland, CA","doi":"10.1193/1.3570677","issn":"87552930","usgsCitation":"Graves, R., Houston, D.B., and Hudnut, K., 2011, The ShakeOut earthquake source and ground motion simulations: Earthquake Spectra, v. 27, no. 2, p. 273-291, https://doi.org/10.1193/1.3570677.","productDescription":"19 p.","startPage":"273","endPage":"291","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":214114,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3570677"},{"id":241806,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"505ba8e7e4b08c986b321f1c","contributors":{"authors":[{"text":"Graves, R.W. 0000-0001-9758-453X","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":77691,"corporation":false,"usgs":true,"family":"Graves","given":"R.W.","affiliations":[],"preferred":false,"id":442693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houston, Douglas B.","contributorId":25326,"corporation":false,"usgs":false,"family":"Houston","given":"Douglas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":442692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudnut, K.W.","contributorId":25179,"corporation":false,"usgs":true,"family":"Hudnut","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":442691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033822,"text":"70033822 - 2011 - Seasonal variations in ectotherm growth rates: Quantifying growth as an intermittent non steady state compensatory process","interactions":[],"lastModifiedDate":"2020-01-14T09:14:50","indexId":"70033822","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2449,"text":"Journal of Sea Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variations in ectotherm growth rates: Quantifying growth as an intermittent non steady state compensatory process","docAbstract":"Generally, growth rates of living organisms are considered to be at steady state, varying only under environmental forcing factors. For example, these rates may be described as a function of light for plants or organic food resources for animals and these could be regulated (or not) by temperature or other conditions. But, what are the consequences for an individual's growth (and also for the population growth) if growth rate variations are themselves dynamic and not steady state? For organisms presenting phases of dormancy or long periods of stress, this is a crucial question. A dynamic perspective for quantifying short-term growth was explored using the daily growth record of the scallop Pecten maximus (L.). This species is a good biological model for ectotherm growth because the shell records growth striae daily. Independently, a generic mathematical function representing the dynamics of mean daily growth rate (MDGR) was implemented to simulate a diverse set of growth patterns. Once the function was calibrated with the striae patterns, the growth rate dynamics appeared as a forced damped oscillation during the growth period having a basic periodicity during two transitory phases (mean duration 43. days) and appearing at both growth start and growth end. This phase is most likely due to the internal dynamics of energy transfer within the organism rather than to external forcing factors. After growth restart, the transitory regime represents successive phases of over-growth and regulation. This pattern corresponds to a typical representation of compensatory growth, which from an evolutionary perspective can be interpreted as an adaptive strategy to coping with a fluctuating environment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.seares.2011.02.001","issn":"13851101","usgsCitation":"Guarini, J.-., Chauvaud, L., Cloern, J.E., Clavier, J., Coston-Guarini, J., and Patry, Y., 2011, Seasonal variations in ectotherm growth rates: Quantifying growth as an intermittent non steady state compensatory process: Journal of Sea Research, v. 65, no. 3, p. 355-361, https://doi.org/10.1016/j.seares.2011.02.001.","productDescription":"7 p.","startPage":"355","endPage":"361","numberOfPages":"7","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88f0e4b08c986b316c51","contributors":{"authors":[{"text":"Guarini, J. -M.","contributorId":64829,"corporation":false,"usgs":false,"family":"Guarini","given":"J.","middleInitial":"-M.","affiliations":[],"preferred":false,"id":442705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chauvaud, Laurent","contributorId":72982,"corporation":false,"usgs":true,"family":"Chauvaud","given":"Laurent","email":"","affiliations":[],"preferred":false,"id":442707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":779377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clavier, J.","contributorId":38789,"corporation":false,"usgs":true,"family":"Clavier","given":"J.","email":"","affiliations":[],"preferred":false,"id":442702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coston-Guarini, J.","contributorId":67307,"corporation":false,"usgs":true,"family":"Coston-Guarini","given":"J.","email":"","affiliations":[],"preferred":false,"id":442706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patry, Y.","contributorId":59641,"corporation":false,"usgs":true,"family":"Patry","given":"Y.","email":"","affiliations":[],"preferred":false,"id":442704,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035057,"text":"70035057 - 2011 - Climate change, atmospheric rivers, and floods in California - a multimodel analysis of storm frequency and magnitude changes","interactions":[],"lastModifiedDate":"2021-03-02T19:02:29.171143","indexId":"70035057","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Climate change, atmospheric rivers, and floods in California - a multimodel analysis of storm frequency and magnitude changes","docAbstract":"Recent studies have documented the important role that “atmospheric rivers” (ARs) of concentrated near‐surface water vapor above the Pacific Ocean play in the storms and floods in California, Oregon, and Washington. By delivering large masses of warm, moist air (sometimes directly from the Tropics), ARs establish conditions for the kinds of high snowlines and copious orographic rainfall that have caused the largest historical storms. In many California rivers, essentially all major historical floods have been associated with AR storms. As an example of the kinds of storm changes that may influence future flood frequencies, the occurrence of such storms in historical observations and in a 7‐model ensemble of historical‐climate and projected future climate simulations is evaluated. Under an A2 greenhouse‐gas emissions scenario (with emissions accelerating throughout the 21st Century), average AR statistics do not change much in most climate models; however, extremes change notably. Years with many AR episodes increase, ARs with higher‐than‐historical water‐vapor transport rates increase, and AR storm‐temperatures increase. Furthermore, the peak season within which most ARs occur is commonly projected to lengthen, extending the flood‐hazard season. All of these tendencies could increase opportunities for both more frequent and more severe floods in California under projected climate changes.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00546.x","issn":"1093474X","usgsCitation":"Dettinger, M.D., 2011, Climate change, atmospheric rivers, and floods in California - a multimodel analysis of storm frequency and magnitude changes: Journal of the American Water Resources Association, v. 47, no. 3, p. 514-523, https://doi.org/10.1111/j.1752-1688.2011.00546.x.","productDescription":"10 p.","startPage":"514","endPage":"523","costCenters":[],"links":[{"id":243286,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215478,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00546.x"}],"country":"United States","state":"California","otherGeospatial":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.92675781249999,\n 39.13006024213511\n ],\n [\n -120.05859375,\n 42.032974332441405\n ],\n [\n -124.4091796875,\n 42.00032514831621\n ],\n [\n -124.62890625,\n 40.3130432088809\n ],\n [\n -123.837890625,\n 38.61687046392973\n ],\n [\n -122.6953125,\n 37.64903402157866\n ],\n [\n -122.25585937500001,\n 36.77409249464195\n ],\n [\n -121.37695312499999,\n 35.38904996691167\n ],\n [\n -120.673828125,\n 34.27083595165\n ],\n [\n -119.970703125,\n 33.7243396617476\n ],\n [\n -117.68554687499999,\n 32.84267363195431\n ],\n [\n -117.1142578125,\n 32.54681317351514\n ],\n [\n -114.47753906249999,\n 32.84267363195431\n ],\n [\n -114.2578125,\n 35.31736632923788\n ],\n [\n -119.92675781249999,\n 39.13006024213511\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"5059f64fe4b0c8380cd4c69d","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":449074,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70035650,"text":"70035650 - 2011 - An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan","interactions":[],"lastModifiedDate":"2021-08-23T16:24:38.902248","indexId":"70035650","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan","docAbstract":"The Haji-Gak iron deposit of eastern Bamyan Province, eastern Afghanistan, was studied extensively and resource calculations were made in the 1960s by Afghan and Russian geologists. Recalculation of the resource estimates verifies the original estimates for categories A (in-place resources known in detail), B (in-place resources known in moderate detail), and C1 (in-place resources estimated on sparse data), totaling 110.8 Mt, or about 6% of the resources as being supportable for the methods used in the 1960s. C2 (based on a loose exploration grid with little data) resources are based on one ore grade from one drill hole, and P2 (prognosis) resources are based on field observations, field measurements, and an ore grade derived from averaging grades from three better sampled ore bodies. C2 and P2 resources are 1,659.1 Mt or about 94% of the total resources in the deposit. The vast P2 resources have not been drilled or sampled to confirm their extent or quality. The purpose of this article is to independently evaluate the resources of the Haji-Gak iron deposit by using the available geologic and mineral resource information including geologic maps and cross sections, sampling data, and the analog-estimating techniques of the 1960s to determine the size and tenor of the deposit.
","largerWorkTitle":"Natural Resources Research","language":"English","publisher":"Springer Link","doi":"10.1007/s11053-011-9154-0","issn":"15207439","usgsCitation":"Sutphin, D., Renaud, K., and Drew, L., 2011, An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan: Natural Resources Research, v. 20, no. 4, p. 329-353, https://doi.org/10.1007/s11053-011-9154-0.","productDescription":"25 p.","startPage":"329","endPage":"353","costCenters":[],"links":[{"id":244266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216399,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-011-9154-0"}],"country":"Afghanistan","otherGeospatial":"Haji-Gak iron deposit in Eastern Afghanistan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 67.91748046874999,\n 34.00713506435885\n ],\n [\n 69.3511962890625,\n 34.00713506435885\n ],\n [\n 69.3511962890625,\n 35.250105158539355\n ],\n [\n 67.91748046874999,\n 35.250105158539355\n ],\n [\n 67.91748046874999,\n 34.00713506435885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-10-18","publicationStatus":"PW","scienceBaseUri":"5059e9d0e4b0c8380cd48491","contributors":{"authors":[{"text":"Sutphin, David M.","contributorId":53769,"corporation":false,"usgs":true,"family":"Sutphin","given":"David M.","affiliations":[],"preferred":false,"id":451625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renaud, Karine krenaud@usgs.gov","contributorId":195405,"corporation":false,"usgs":true,"family":"Renaud","given":"Karine","email":"krenaud@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":451626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drew, Lawrence J. ldrew@usgs.gov","contributorId":190730,"corporation":false,"usgs":true,"family":"Drew","given":"Lawrence J.","email":"ldrew@usgs.gov","affiliations":[],"preferred":false,"id":451627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036607,"text":"70036607 - 2011 - The effect of fire and permafrost interactions on soil carbon accumulation in an upland black spruce ecosystem of interior Alaska: Implications for post-thaw carbon loss","interactions":[],"lastModifiedDate":"2020-12-29T19:00:10.737067","indexId":"70036607","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of fire and permafrost interactions on soil carbon accumulation in an upland black spruce ecosystem of interior Alaska: Implications for post-thaw carbon loss","docAbstract":"High‐latitude regions store large amounts of organic carbon (OC) in active‐layer soils and permafrost, accounting for nearly half of the global belowground OC pool. In the boreal region, recent warming has promoted changes in the fire regime, which may exacerbate rates of permafrost thaw and alter soil OC dynamics in both organic and mineral soil. We examined how interactions between fire and permafrost govern rates of soil OC accumulation in organic horizons, mineral soil of the active layer, and near‐surface permafrost in a black spruce ecosystem of interior Alaska. To estimate OC accumulation rates, we used chronosequence, radiocarbon, and modeling approaches. We also developed a simple model to track long‐term changes in soil OC stocks over past fire cycles and to evaluate the response of OC stocks to future changes in the fire regime. Our chronosequence and radiocarbon data indicate that OC turnover varies with soil depth, with fastest turnover occurring in shallow organic horizons (∼60 years) and slowest turnover in near‐surface permafrost (>3000 years). Modeling analysis indicates that OC accumulation in organic horizons was strongly governed by carbon losses via combustion and burial of charred remains in deep organic horizons. OC accumulation in mineral soil was influenced by active layer depth, which determined the proportion of mineral OC in a thawed or frozen state and thus, determined loss rates via decomposition. Our model results suggest that future changes in fire regime will result in substantial reductions in OC stocks, largely from the deep organic horizon. Additional OC losses will result from fire‐induced thawing of near‐surface permafrost. From these findings, we conclude that the vulnerability of deep OC stocks to future warming is closely linked to the sensitivity of permafrost to wildfire disturbance.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2010.02358.x","issn":"13541013","usgsCitation":"O'Donnell, J., Harden, J., McGuire, A., Kanevskiy, M., Jorgenson, M., and Xu, X., 2011, The effect of fire and permafrost interactions on soil carbon accumulation in an upland black spruce ecosystem of interior Alaska: Implications for post-thaw carbon loss: Global Change Biology, v. 17, no. 3, p. 1461-1474, https://doi.org/10.1111/j.1365-2486.2010.02358.x.","productDescription":"14 p.","startPage":"1461","endPage":"1474","numberOfPages":"14","costCenters":[],"links":[{"id":475358,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2486.2010.02358.x","text":"Publisher Index Page"},{"id":245451,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217500,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2010.02358.x"}],"country":"United States","state":"Alaska","otherGeospatial":"Hess Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.62255859375,\n 65.53117097417717\n ],\n [\n -144.64599609375,\n 65.53117097417717\n ],\n [\n -144.64599609375,\n 66.86108230224609\n ],\n [\n -150.62255859375,\n 66.86108230224609\n ],\n [\n -150.62255859375,\n 65.53117097417717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-12-07","publicationStatus":"PW","scienceBaseUri":"505bab27e4b08c986b322c6d","contributors":{"authors":[{"text":"O'Donnell, J. A.","contributorId":85367,"corporation":false,"usgs":true,"family":"O'Donnell","given":"J. A.","affiliations":[],"preferred":false,"id":456975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":456972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":456970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanevskiy, M.Z.","contributorId":53603,"corporation":false,"usgs":true,"family":"Kanevskiy","given":"M.Z.","affiliations":[],"preferred":false,"id":456973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":456971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, X.","contributorId":55166,"corporation":false,"usgs":true,"family":"Xu","given":"X.","email":"","affiliations":[],"preferred":false,"id":456974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035087,"text":"70035087 - 2011 - Prototyping an online wetland ecosystem services model using open model sharing standards","interactions":[],"lastModifiedDate":"2017-04-06T12:30:28","indexId":"70035087","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Prototyping an online wetland ecosystem services model using open model sharing standards","docAbstract":"Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.10.008","issn":"13648152","usgsCitation":"Feng, M., Liu, S., Euliss, N., Young, C., and Mushet, D., 2011, Prototyping an online wetland ecosystem services model using open model sharing standards: Environmental Modelling and Software, v. 26, no. 4, p. 458-468, https://doi.org/10.1016/j.envsoft.2010.10.008.","productDescription":"11 p.","startPage":"458","endPage":"468","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.10.008"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f98e4b0c8380cd7f860","contributors":{"authors":[{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":449229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":449233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":449230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":449231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":449232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035722,"text":"70035722 - 2011 - Gas geochemistry of the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: implications for gas hydrate exploration in the Arctic","interactions":[],"lastModifiedDate":"2013-05-28T10:05:20","indexId":"70035722","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Gas geochemistry of the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: implications for gas hydrate exploration in the Arctic","docAbstract":"Gases were analyzed from well cuttings, core, gas hydrate, and formation tests at the BPXA-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well, drilled within the Milne Point Unit, Alaska North Slope. The well penetrated a portion of the Eileen gas hydrate deposit, which overlies the more deeply buried Prudhoe Bay, Milne Point, West Sak, and Kuparuk River oil fields. Gas sources in the upper 200 m are predominantly from microbial sources (C1 isotopic compositions ranging from −86.4 to −80.6‰). The C1 isotopic composition becomes progressively enriched from 200 m to the top of the gas hydrate-bearing sands at 600 m. The tested gas hydrates occur in two primary intervals, units D and C, between 614.0 m and 664.7 m, containing a total of 29.3 m of gas hydrate-bearing sands. The hydrocarbon gases in cuttings and core samples from 604 to 914 m are composed of methane with very little ethane. The isotopic composition of the methane carbon ranges from −50.1 to −43.9‰ with several outliers, generally decreasing with depth. Gas samples collected by the Modular Formation Dynamics Testing (MDT) tool in the hydrate-bearing units were similarly composed mainly of methane, with up to 284 ppm ethane. The methane isotopic composition ranged from −48.2 to −48.0‰ in the C sand and from −48.4 to −46.6‰ in the D sand. Methane hydrogen isotopic composition ranged from −238 to −230‰, with slightly more depleted values in the deeper C sand. These results are consistent with the concept that the Eileen gas hydrates contain a mixture of deep-sourced, microbially biodegraded thermogenic gas, with lesser amounts of thermogenic oil-associated gas, and coal gas. Thermal gases are likely sourced from existing oil and gas accumulations that have migrated up-dip and/or up-fault and formed gas hydrate in response to climate cooling with permafrost formation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.007","issn":"02648172","usgsCitation":"Lorenson, T., Collett, T.S., and Hunter, R., 2011, Gas geochemistry of the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: implications for gas hydrate exploration in the Arctic: Marine and Petroleum Geology, v. 28, no. 2, p. 343-360, https://doi.org/10.1016/j.marpetgeo.2010.02.007.","productDescription":"18 p.","startPage":"343","endPage":"360","costCenters":[],"links":[{"id":216135,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.007"},{"id":243982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska North Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.85,68.0 ], [ -166.85,71.39 ], [ -141.0,71.39 ], [ -141.0,68.0 ], [ -166.85,68.0 ] ] ] } } ] }","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a14cae4b0c8380cd54b7d","contributors":{"authors":[{"text":"Lorenson, T.D.","contributorId":7715,"corporation":false,"usgs":true,"family":"Lorenson","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":452063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, T. S. 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":86342,"corporation":false,"usgs":true,"family":"Collett","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":452065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":452064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035727,"text":"70035727 - 2011 - Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories","interactions":[],"lastModifiedDate":"2021-02-16T18:57:11.382931","indexId":"70035727","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories","docAbstract":"Comparative evaluations of population dynamics in species with temporal and spatial variation in life‐history traits are rare because they require long‐term demographic time series from multiple populations. We present such an analysis using demographic data collected during the interval 1978–1996 for six populations of western terrestrial garter snakes (Thamnophis elegans) from two evolutionarily divergent ecotypes. Three replicate populations from a slow‐living ecotype, found in mountain meadows of northeastern California, were characterized by individuals that develop slowly, mature late, reproduce infrequently with small reproductive effort, and live longer than individuals of three populations of a fast‐living ecotype found at lakeshore locales. We constructed matrix population models for each of the populations based on 8–13 years of data per population and analyzed both deterministic dynamics based on mean annual vital rates and stochastic dynamics incorporating annual variation in vital rates. (1) Contributions of highly variable vital rates to fitness (λs) were buffered against the negative effects of stochastic variation, and this relationship was consistent with differences between the meadow (M‐slow) and lakeshore (L‐fast) ecotypes. (2) Annual variation in the proportion of gravid females had the greatest negative effect among all vital rates on λs. The magnitude of variation in the proportion of gravid females and its effect on λs was greater in M‐slow than L‐fast populations. (3) Variation in the proportion of gravid females, in turn, depended on annual variation in prey availability, and its effect on λs was 4–23 times greater in M‐slow than L‐fast populations. In addition to differences in stochastic dynamics between ecotypes, we also found higher mean mortality rates across all age classes in the L‐fast populations. Our results suggest that both deterministic and stochastic selective forces have affected the evolution of divergent life‐history traits in the two ecotypes, which, in turn, affect population dynamics. M‐slow populations have evolved life‐history traits that buffer fitness against direct effects of variation in reproduction and that spread lifetime reproduction across a greater number of reproductive bouts. These results highlight the importance of long‐term demographic and environmental monitoring and of incorporating temporal dynamics into empirical studies of life‐history evolution.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1438.1","issn":"00129658","usgsCitation":"Miller, D.A., Clark, W., Arnold, S., and Bronikowski, A., 2011, Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories: Ecology, v. 92, no. 8, p. 1658-1671, https://doi.org/10.1890/10-1438.1.","productDescription":"14 p.","startPage":"1658","endPage":"1671","costCenters":[],"links":[{"id":475108,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/eeob_ag_pubs/187","text":"External Repository"},{"id":244078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216220,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1438.1"}],"country":"United States","state":"California","county":"Lassen","otherGeospatial":"Eagle Lake","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-121.3323,41.1841],[-121.2304,41.1851],[-121.2261,41.1847],[-121.1986,41.1846],[-121.1638,41.185],[-120.9557,41.1862],[-120.8965,41.1864],[-120.7225,41.1859],[-120.5723,41.1859],[-120.5528,41.1861],[-120.5339,41.1862],[-120.5155,41.1859],[-120.4704,41.1858],[-120.4576,41.1864],[-120.4551,41.1864],[-120.4069,41.1863],[-120.3794,41.1865],[-120.1169,41.1844],[-120.0986,41.1845],[-120.0498,41.1847],[-119.9995,41.1845],[-119.9998,41.1401],[-119.9999,41.0211],[-119.9999,40.9331],[-119.9992,40.8451],[-119.9991,40.8328],[-119.9989,40.8021],[-119.9988,40.7934],[-119.9983,40.7517],[-119.9978,40.6864],[-119.9971,40.6147],[-119.9968,40.5947],[-119.9967,40.587],[-119.9967,40.5516],[-119.9964,40.5317],[-119.9963,40.5213],[-119.9958,40.455],[-119.9956,40.4351],[-119.9956,40.4301],[-119.9959,40.3838],[-119.9956,40.3217],[-119.9955,40.3085],[-119.996,40.26],[-119.9962,40.2478],[-119.9962,40.245],[-119.9963,40.2309],[-119.9964,40.2164],[-119.9965,40.1874],[-119.9965,40.1421],[-119.9964,40.1112],[-119.9965,40.1072],[-119.9967,40.0855],[-119.9967,40.0704],[-119.9969,40.0605],[-119.9968,40.0577],[-119.9971,40.046],[-119.9985,39.9816],[-119.9987,39.9696],[-119.9991,39.954],[-119.9993,39.9406],[-119.9994,39.9299],[-120.0003,39.8091],[-120.0008,39.7968],[-120.0007,39.7948],[-120.0012,39.7823],[-120.0012,39.7794],[-120.0012,39.7673],[-120.0013,39.7649],[-120.0017,39.7523],[-120.0017,39.7509],[-120.0022,39.7387],[-120.0022,39.7373],[-120.0021,39.7238],[-120.0177,39.7231],[-120.0182,39.71],[-120.0457,39.7099],[-120.0744,39.7093],[-120.1115,39.7096],[-120.121,39.7095],[-120.1402,39.7094],[-120.1485,39.7089],[-120.15,39.7375],[-120.1291,39.7376],[-120.1286,39.7534],[-120.1202,39.753],[-120.1197,39.7676],[-120.1126,39.768],[-120.1121,39.7835],[-120.1092,39.7948],[-120.1092,39.7975],[-120.1094,39.8234],[-120.1087,39.8823],[-120.101,39.8823],[-120.1012,39.9109],[-120.1114,39.9109],[-120.1116,39.9399],[-120.1278,39.9402],[-120.1273,39.9489],[-120.1387,39.9492],[-120.1382,39.9561],[-120.1478,39.9569],[-120.1472,39.9637],[-120.1556,39.9641],[-120.1551,39.9691],[-120.1671,39.9695],[-120.166,39.9836],[-120.175,39.984],[-120.1746,39.9999],[-120.1854,40.0007],[-120.1849,40.0129],[-120.2035,40.0133],[-120.2031,40.0269],[-120.2026,40.0419],[-120.214,40.0423],[-120.213,40.0563],[-120.2125,40.0695],[-120.2126,40.0844],[-120.2301,40.0852],[-120.2487,40.0856],[-120.2495,40.1073],[-120.2682,40.1081],[-120.2676,40.1145],[-120.3434,40.1144],[-120.3435,40.1217],[-120.3615,40.122],[-120.3616,40.1284],[-120.3821,40.1292],[-120.381,40.1396],[-120.4003,40.1399],[-120.3997,40.1467],[-120.41,40.1471],[-120.409,40.1607],[-120.418,40.1611],[-120.4181,40.1679],[-120.4361,40.1682],[-120.4362,40.1759],[-120.4471,40.1763],[-120.4472,40.1894],[-120.4557,40.1898],[-120.4553,40.2048],[-120.4842,40.2055],[-120.485,40.2191],[-120.4922,40.219],[-120.4924,40.234],[-120.5129,40.2338],[-120.5131,40.2479],[-120.5311,40.2482],[-120.5313,40.2559],[-120.5499,40.2557],[-120.55,40.2635],[-120.5784,40.2637],[-120.5781,40.285],[-120.5817,40.285],[-120.6263,40.2855],[-120.6258,40.2932],[-120.6445,40.2935],[-120.6452,40.3007],[-120.6537,40.3006],[-120.6544,40.3065],[-120.6652,40.3069],[-120.7002,40.3075],[-120.7274,40.3081],[-120.7275,40.3144],[-120.7365,40.3144],[-120.7655,40.3141],[-120.7654,40.3082],[-120.7756,40.3081],[-120.7755,40.3013],[-120.7984,40.301],[-120.7981,40.2825],[-120.798,40.277],[-120.8154,40.2764],[-120.8159,40.27],[-120.8219,40.27],[-120.8352,40.2698],[-120.8355,40.2562],[-120.8446,40.2561],[-120.845,40.2484],[-120.8547,40.2483],[-120.8552,40.2456],[-120.8551,40.2406],[-120.866,40.2405],[-120.8726,40.2404],[-120.8734,40.2218],[-120.8736,40.1982],[-120.8929,40.198],[-120.8933,40.1912],[-120.9144,40.1914],[-120.9288,40.1917],[-120.9296,40.198],[-120.9297,40.2053],[-120.9393,40.2052],[-120.9478,40.2055],[-120.9479,40.2096],[-120.9481,40.2196],[-120.9848,40.2201],[-121.0041,40.2198],[-121.0042,40.2248],[-121.0044,40.2339],[-121.023,40.2337],[-121.0345,40.2335],[-121.0387,40.2335],[-121.0417,40.2335],[-121.0418,40.238],[-121.0422,40.2552],[-121.0627,40.2559],[-121.0611,40.2953],[-121.0618,40.3788],[-121.0626,40.445],[-121.1635,40.4451],[-121.2529,40.4452],[-121.271,40.4454],[-121.2934,40.4451],[-121.3127,40.4448],[-121.3272,40.4451],[-121.3272,40.4678],[-121.3274,40.4981],[-121.3243,40.4982],[-121.3241,40.5835],[-121.3222,40.7922],[-121.3226,40.9043],[-121.3336,40.9041],[-121.3333,40.9186],[-121.3327,40.9663],[-121.3322,40.9926],[-121.3318,41.0471],[-121.3316,41.1092],[-121.3319,41.1233],[-121.3317,41.1378],[-121.3321,41.1523],[-121.3323,41.1841]]]},\"properties\":{\"name\":\"Lassen\",\"state\":\"CA\"}}]}","volume":"92","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b984ee4b08c986b31bf76","contributors":{"authors":[{"text":"Miller, David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":452087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, W.R.","contributorId":70716,"corporation":false,"usgs":true,"family":"Clark","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":452089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, S.J.","contributorId":80112,"corporation":false,"usgs":true,"family":"Arnold","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":452090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronikowski, A.M.","contributorId":56880,"corporation":false,"usgs":true,"family":"Bronikowski","given":"A.M.","affiliations":[],"preferred":false,"id":452088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034415,"text":"70034415 - 2011 - Pressure waves in a supersaturated bubbly magma","interactions":[],"lastModifiedDate":"2013-09-13T10:18:54","indexId":"70034415","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Pressure waves in a supersaturated bubbly magma","docAbstract":"We study the interaction of acoustic pressure waves with an expanding bubbly magma. The expansion of magma is the result of bubble growth during or following magma decompression and leads to two competing processes that affect pressure waves. On the one hand, growth in vesicularity leads to increased damping and decreased wave amplitudes, and on the other hand, a decrease in the effective bulk modulus of the bubbly mixture reduces wave velocity, which in turn, reduces damping and may lead to wave amplification. The additional acoustic energy originates from the chemical energy released during bubble growth. We examine this phenomenon analytically to identify conditions under which amplification of pressure waves is possible. These conditions are further examined numerically to shed light on the frequency and phase dependencies in relation to the interaction of waves and growing bubbles. Amplification is possible at low frequencies and when the growth rate of bubbles reaches an optimum value for which the wave velocity decreases sufficiently to overcome the increased damping of the vesicular material. We examine two amplification phase-dependent effects: (1) a tensile-phase effect in which the inserted wave adds to the process of bubble growth, utilizing the energy associated with the gas overpressure in the bubble and therefore converting a large proportion of this energy into additional acoustic energy, and (2) a compressive-phase effect in which the pressure wave works against the growing bubbles and a large amount of its acoustic energy is dissipated during the first cycle, but later enough energy is gained to amplify the second cycle. These two effects provide additional new possible mechanisms for the amplification phase seen in Long-Period (LP) and Very-Long-Period (VLP) seismic signals originating in magma-filled cracks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-246X.2011.05152.x","issn":"0956540X","usgsCitation":"Kurzon, I., Lyakhovsky, V., Navon, O., and Chouet, B., 2011, Pressure waves in a supersaturated bubbly magma: Geophysical Journal International, v. 187, no. 1, p. 421-438, https://doi.org/10.1111/j.1365-246X.2011.05152.x.","productDescription":"18 p.","startPage":"421","endPage":"438","costCenters":[],"links":[{"id":475238,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.05152.x","text":"Publisher Index Page"},{"id":216742,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05152.x"},{"id":244628,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"187","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a8b5ee4b0c8380cd7e222","contributors":{"authors":[{"text":"Kurzon, I.","contributorId":71798,"corporation":false,"usgs":true,"family":"Kurzon","given":"I.","email":"","affiliations":[],"preferred":false,"id":445670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyakhovsky, V.","contributorId":76492,"corporation":false,"usgs":true,"family":"Lyakhovsky","given":"V.","email":"","affiliations":[],"preferred":false,"id":445671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navon, O.","contributorId":63648,"corporation":false,"usgs":true,"family":"Navon","given":"O.","email":"","affiliations":[],"preferred":false,"id":445668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chouet, B.","contributorId":68465,"corporation":false,"usgs":true,"family":"Chouet","given":"B.","affiliations":[],"preferred":false,"id":445669,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035093,"text":"70035093 - 2011 - Female white-tailed deer survival across ecoregions in Minnesota and South Dakota","interactions":[],"lastModifiedDate":"2017-04-06T12:33:59","indexId":"70035093","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Female white-tailed deer survival across ecoregions in Minnesota and South Dakota","docAbstract":"Survival and cause-specific mortality of female white-tailed deer (Odocoileus virginianus) have been well documented in forested and agricultural landscapes, but limited information has been collected in grassland habitats typical of the Northern Great Plains. Our objectives were to document and compare survival and cause-specific mortality of adult female white-tailed deer in four distinct ecoregions. We captured and radiocollared 190 (159 adult, 31 yearling) female white-tailed deer and monitored (including deer from a previous study) a total of 246 (215 adult, 31 yearling) deer from Jan. 2000 to Dec. 2007. We documented 113 mortalities; hunting (including wounding loss) accounted for 69.9% of all mortalities and vehicle collisions accounted for an additional 15.0%. Natural causes (e.g., disease, predation) of mortality were minor compared to human-related causes (e.g., hunting, vehicle collisions). We used known fate modeling in program MARK to estimate survival rates and compare ecoregions and seasons. Model {Sseason (winter = summer)} had the lowest AICc value suggesting that survival differed only between seasons where winter and summer survival was equal and differed with fall season. Annual and seasonal (summer, fall, winter) survival rates using the top model {Sseason (summer = winter)} were 0.76 (95% ci = 0.70–0.80), 0.97 (95% ci = 0.96–0.98), 0.80 (95% ci = 0.76–0.83) and 0.97 (95% ci = 0.96–0.98), respectively. High human-related mortality was likely associated with limited permanent cover, extensive road networks and high hunter density. Deer management in four distinct ecoregions relies on hunter harvest to maintain deer populations within state management goals.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-165.2.426","issn":"00030031","usgsCitation":"Grovenburg, T., Swanson, C.C., Jacques, C., Deperno, C., Klaver, R., and Jenks, J., 2011, Female white-tailed deer survival across ecoregions in Minnesota and South Dakota: American Midland Naturalist, v. 165, no. 2, p. 426-435, https://doi.org/10.1674/0003-0031-165.2.426.","productDescription":"10 p.","startPage":"426","endPage":"435","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, South Dakota","county":"Fillmore County, Lincoln County, Olmsted County, Pipestone County, Redwood County, Renville County, Brookings County, Brown County, Edmunds County, Faulk County, Grant County, McPherson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-91.7304,43.8503],[-91.7306,43.5023],[-92.0803,43.5021],[-92.0828,43.5021],[-92.4507,43.5026],[-92.4507,43.8361],[-92.6891,43.8368],[-92.6889,43.8514],[-92.6775,43.8518],[-92.6804,44.1972],[-92.5516,44.1972],[-92.3189,44.1954],[-92.3178,44.1101],[-92.0803,44.1087],[-92.0806,43.8508],[-91.7304,43.8503]]],[[[-96.4532,44.6317],[-96.0914,44.631],[-96.0932,44.5456],[-96.0747,44.5455],[-96.0788,44.1993],[-96.0628,44.1987],[-96.0657,43.8527],[-96.4532,43.8515],[-96.4538,44.1983],[-96.8874,44.1965],[-97.1286,44.1965],[-97.1285,44.545],[-96.8874,44.5446],[-96.4534,44.5444],[-96.4533,44.6289],[-96.4533,44.6303],[-96.4532,44.6317]]],[[[-94.8623,44.4977],[-94.8637,44.2829],[-95.1051,44.283],[-95.1062,44.1968],[-95.4633,44.197],[-95.5921,44.1964],[-95.5938,44.5434],[-95.3567,44.5437],[-95.3584,44.6993],[-95.3643,44.7019],[-95.3707,44.7028],[-95.3765,44.7041],[-95.3773,44.7072],[-95.3767,44.71],[-95.3781,44.7122],[-95.3806,44.7122],[-95.3851,44.7131],[-95.3878,44.7153],[-95.3929,44.7152],[-95.3962,44.7165],[-95.395,44.7207],[-95.3951,44.7248],[-95.3991,44.7284],[-95.4049,44.7315],[-95.4107,44.7319],[-95.4165,44.7322],[-95.4192,44.7354],[-95.4219,44.739],[-95.4296,44.7407],[-95.4374,44.7438],[-95.4419,44.7424],[-95.4521,44.7404],[-95.4554,44.7431],[-95.4601,44.7489],[-95.4652,44.7498],[-95.4699,44.7543],[-95.4744,44.7556],[-95.4789,44.7532],[-95.4816,44.891],[-95.2471,44.8925],[-94.7582,44.8929],[-94.4993,44.8942],[-94.4948,44.8938],[-94.4954,44.7194],[-94.6278,44.7193],[-94.6202,44.4566],[-94.7917,44.4574],[-94.7957,44.4642],[-94.799,44.4673],[-94.8054,44.4691],[-94.8074,44.4745],[-94.8126,44.4786],[-94.8166,44.4831],[-94.8281,44.4839],[-94.8365,44.4866],[-94.8391,44.492],[-94.8474,44.4897],[-94.8513,44.4933],[-94.8623,44.4977]]],[[[-98.7273,45.9373],[-98.7267,45.9373],[-98.3537,45.9355],[-98.3472,45.9355],[-98.1849,45.9355],[-98.164,45.9356],[-98.0095,45.9355],[-98.0017,45.9355],[-97.9775,45.9351],[-97.9802,45.5883],[-97.9803,45.2409],[-98.1059,45.2413],[-98.3532,45.2432],[-98.4743,45.2437],[-98.5967,45.2446],[-98.6005,45.2451],[-98.7184,45.2449],[-98.7209,45.1024],[-98.7186,44.8965],[-99.3132,44.8976],[-99.3287,44.8986],[-99.5728,44.8983],[-99.5743,45.0722],[-99.5719,45.1019],[-99.5751,45.2458],[-99.6962,45.2465],[-99.7111,45.2462],[-99.7096,45.5953],[-99.72,45.5958],[-99.7216,45.6786],[-99.7206,45.7673],[-99.7197,45.7902],[-99.7212,45.9421],[-99.0054,45.9393],[-99.0021,45.9393],[-98.7273,45.9373]]],[[[-97.226,45.2996],[-97.0088,45.2992],[-97.0022,45.3141],[-96.995,45.3276],[-96.9872,45.3279],[-96.8632,45.3292],[-96.47,45.3289],[-96.4692,45.3265],[-96.4697,45.3239],[-96.4668,45.3179],[-96.4616,45.3142],[-96.4588,45.3121],[-96.4582,45.3116],[-96.4538,45.3074],[-96.4519,45.3022],[-96.4521,45.2978],[-96.4523,45.2941],[-96.453,45.2802],[-96.4536,45.2695],[-96.4536,45.2693],[-96.4535,45.2678],[-96.453,45.2546],[-96.453,45.2429],[-96.4532,44.9788],[-96.7615,44.9772],[-96.8854,44.9779],[-96.885,45.1533],[-97.0798,45.1534],[-97.226,45.1538],[-97.2251,45.2118],[-97.226,45.2996]]]]},\"properties\":{\"name\":\"Fillmore\",\"state\":\"MN\"}}]}","volume":"165","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f7de4b0c8380cd53908","contributors":{"authors":[{"text":"Grovenburg, T.W.","contributorId":78163,"corporation":false,"usgs":true,"family":"Grovenburg","given":"T.W.","affiliations":[],"preferred":false,"id":449278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, C. C.","contributorId":34238,"corporation":false,"usgs":false,"family":"Swanson","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":449276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacques, C.N.","contributorId":19378,"corporation":false,"usgs":true,"family":"Jacques","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":449274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deperno, C.S.","contributorId":97870,"corporation":false,"usgs":true,"family":"Deperno","given":"C.S.","affiliations":[],"preferred":false,"id":449279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaver, R. W. 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":50267,"corporation":false,"usgs":true,"family":"Klaver","given":"R. W.","affiliations":[],"preferred":false,"id":449277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenks, J.A.","contributorId":31726,"corporation":false,"usgs":true,"family":"Jenks","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":449275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035892,"text":"70035892 - 2011 - Characterization of the Cretaceous aquifer structure of the Meskala region of the Essaouira Basin, Morocco","interactions":[],"lastModifiedDate":"2021-02-08T20:33:14.302762","indexId":"70035892","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the Cretaceous aquifer structure of the Meskala region of the Essaouira Basin, Morocco","docAbstract":"The aquifer of early Cretaceous age in the Meskala region of the Essaouira Basin is defined by interpretation of geological drilling data of oil and hydrogeological wells, field measurement and analysis of in situ fracture orientations, and the application of a morphostructural method to identify lineaments. These analyzes are used to develop a stratigraphic–structural model of the aquifer delimited by fault zones of two principal orientations: NNE and WNW. These fault zones define fault blocks that range in area from 4 to 150 km2. These blocks correspond either to elevated zones (horsts) or depressed zones (grabens). This structural setting with faults blocks of Meskala region is in accordance with the structure of the whole Essaouira Basin. Fault zones disrupt the continuity of the aquifer throughout the study area, create recharge and discharge zones, and create dip to the units from approximately 10° to near vertical in various orientations. Fracture measurements and morphometric-lineament analyzes help to identify unmapped faults, and represent features important to groundwater hydraulics and water quality within fault blocks. The above geologic features will enable a better understanding of the behaviour and hydro-geo-chemical and hydrodynamics of groundwater in the Meskala aquifer.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2010.12.003","issn":"1464343X","usgsCitation":"Hanich, L., Zouhri, L., and Dinger, J., 2011, Characterization of the Cretaceous aquifer structure of the Meskala region of the Essaouira Basin, Morocco: Journal of African Earth Sciences, v. 59, no. 2-3, p. 313-322, https://doi.org/10.1016/j.jafrearsci.2010.12.003.","productDescription":"10 p.","startPage":"313","endPage":"322","costCenters":[],"links":[{"id":244153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216290,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jafrearsci.2010.12.003"}],"country":"Morocco","otherGeospatial":"Essaouira Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -8.712158203125,\n 31.306715155075167\n ],\n [\n -6.6796875,\n 31.306715155075167\n ],\n [\n -6.6796875,\n 32.731840896865684\n ],\n [\n -8.712158203125,\n 32.731840896865684\n ],\n [\n -8.712158203125,\n 31.306715155075167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4e2e4b0c8380cd4bf97","contributors":{"authors":[{"text":"Hanich, L.","contributorId":63643,"corporation":false,"usgs":true,"family":"Hanich","given":"L.","email":"","affiliations":[],"preferred":false,"id":452968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zouhri, L.","contributorId":58117,"corporation":false,"usgs":true,"family":"Zouhri","given":"L.","email":"","affiliations":[],"preferred":false,"id":452967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinger, J.","contributorId":69788,"corporation":false,"usgs":true,"family":"Dinger","given":"J.","email":"","affiliations":[],"preferred":false,"id":452969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035897,"text":"70035897 - 2011 - An analysis of modern pollen rain from the Maya lowlands of northern Belize","interactions":[],"lastModifiedDate":"2021-02-08T20:04:26.516947","indexId":"70035897","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3275,"text":"Review of Palaeobotany and Palynology","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of modern pollen rain from the Maya lowlands of northern Belize","docAbstract":"In the lowland Maya area, pollen records provide important insights into the impact of past human populations and climate change on tropical ecosystems. Despite a long history of regional paleoecological research, few studies have characterized the palynological signatures of lowland ecosystems, a fact which lowers confidence in ecological inferences made from palynological data. We sought to verify whether we could use pollen spectra to reliably distinguish modern ecosystem types in the Maya lowlands of Central America. We collected 23 soil and sediment samples from eight ecosystem types, including upland, riparian, secondary, and swamp (bajo) forests; pine savanna; and three distinct wetland communities. We analyzed pollen spectra with non-metric multidimensional scaling (NMDS), and found significant compositional differences in ecosystem types' pollen spectra. Forested sites had spectra dominated by Moraceae/Urticaceae pollen, while non-forested sites had significant portions of Poaceae, Asteraceae, and Amaranthaceae pollen. Upland, bajo, and riparian forest differed in representation of Cyperaceae, Bactris-type, and Combretaceae/Melastomataceae pollen. High percentages of pine (Pinus), oak (Quercus), and the presence of Byrsonima characterized pine savanna. Despite its limited sample size, this study provides one of the first statistical analyses of modern pollen rain in the Maya lowlands. Our results show that pollen assemblages can accurately reflect differences between ecosystem types, which may help refine interpretations of pollen records from the Maya area.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.revpalbo.2010.11.010","issn":"00346667","usgsCitation":"Bhattacharya, T., Beach, T., and Wahl, D.B., 2011, An analysis of modern pollen rain from the Maya lowlands of northern Belize: Review of Palaeobotany and Palynology, v. 164, no. 1-2, p. 109-120, https://doi.org/10.1016/j.revpalbo.2010.11.010.","productDescription":"12 p.","startPage":"109","endPage":"120","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":244223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216359,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.revpalbo.2010.11.010"}],"country":"Belize","otherGeospatial":"Maya lowlands","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.14308,17.80832],[-89.15091,17.95547],[-89.02986,18.00151],[-88.84834,17.8832],[-88.49012,18.48683],[-88.30003,18.49998],[-88.29634,18.35327],[-88.10681,18.34867],[-88.12348,18.07667],[-88.28535,17.64414],[-88.19787,17.48948],[-88.30264,17.13169],[-88.23952,17.03607],[-88.35543,16.53077],[-88.55182,16.26547],[-88.73243,16.23363],[-88.93061,15.88727],[-89.22912,15.88694],[-89.15081,17.01558],[-89.14308,17.80832]]]},\"properties\":{\"name\":\"Belize\"}}]}","volume":"164","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f0e4b0c8380cd48540","contributors":{"authors":[{"text":"Bhattacharya, T.","contributorId":96920,"corporation":false,"usgs":true,"family":"Bhattacharya","given":"T.","email":"","affiliations":[],"preferred":false,"id":452998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beach, T.","contributorId":39607,"corporation":false,"usgs":true,"family":"Beach","given":"T.","email":"","affiliations":[],"preferred":false,"id":452997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, David B. 0000-0002-0451-3554 dwahl@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":3433,"corporation":false,"usgs":true,"family":"Wahl","given":"David","email":"dwahl@usgs.gov","middleInitial":"B.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":452996,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035901,"text":"70035901 - 2011 - An acarologic survey and Amblyomma americanum distribution map with implications for tularemia risk in Missouri","interactions":[],"lastModifiedDate":"2021-02-08T19:15:25.164963","indexId":"70035901","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"An acarologic survey and Amblyomma americanum distribution map with implications for tularemia risk in Missouri","docAbstract":"In the United States, tickborne diseases occur focally. Missouri represents a major focus of several tickborne diseases that includes spotted fever rickettsiosis, tularemia, and ehrlichiosis. Our study sought to determine the potential risk of human exposure to human-biting vector ticks in this area. We collected ticks in 79 sites in southern Missouri during June 7–10, 2009, which yielded 1,047 adult and 3,585 nymphal Amblyomma americanum, 5 adult Amblyomma maculatum, 19 adult Dermacentor variabilis, and 5 nymphal Ixodes brunneus. Logistic regression analysis showed that areas posing an elevated risk of exposure to A. americanumnymphs or adults were more likely to be classified as forested than grassland, and the probability of being classified as elevated risk increased with increasing relative humidity during the month of June (30-year average). Overall accuracy of each of the two models was greater than 70% and showed that 20% and 30% of the state were classified as elevated risk for human exposure to nymphs and adults, respectively. We also found a significant positive association between heightened acarologic risk and counties reporting tularemia cases. Our study provides an updated distribution map for A. americanum in Missouri and suggests a wide-spread risk of human exposure to A. americanum and their associated pathogens in this region.
","language":"English","publisher":"The American Journal of Tropical Medicine and Hygiene","doi":"10.4269/ajtmh.2011.10-0593","issn":"00029637","usgsCitation":"Brown, H., Yates, K., Dietrich, G., MacMillan, K., Graham, C., Reese, S., Helterbrand, W., Nicholson, W., Blount, K., Mead, P., Patrick, S., and Eisen, R., 2011, An acarologic survey and Amblyomma americanum distribution map with implications for tularemia risk in Missouri: American Journal of Tropical Medicine and Hygiene, v. 84, no. 3, p. 411-419, https://doi.org/10.4269/ajtmh.2011.10-0593.","productDescription":"9 p.","startPage":"411","endPage":"419","costCenters":[],"links":[{"id":475121,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4269/ajtmh.2011.10-0593","text":"Publisher Index Page"},{"id":244281,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216412,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4269/ajtmh.2011.10-0593"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.716769,40.59853],[-91.686357,40.580875],[-91.690804,40.559893],[-91.681714,40.553035],[-91.6219,40.542292],[-91.618028,40.53403],[-91.621353,40.510072],[-91.590817,40.492292],[-91.574746,40.465664],[-91.52509,40.457845],[-91.524053,40.448437],[-91.533623,40.43832],[-91.519935,40.433673],[-91.526555,40.419872],[-91.522333,40.409648],[-91.498093,40.401926],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465009,40.376223],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.444833,40.36317],[-91.46214,40.342414],[-91.492727,40.278217],[-91.490524,40.259498],[-91.505828,40.238839],[-91.505495,40.195606],[-91.512974,40.181062],[-91.508224,40.157665],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.465315,39.983995],[-91.41936,39.927717],[-91.41988,39.916533],[-91.443513,39.893583],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.3453,39.709402],[-91.27614,39.665759],[-91.229317,39.620853],[-91.181936,39.602677],[-91.174651,39.593313],[-91.168419,39.564928],[-91.153628,39.548248],[-91.100307,39.538695],[-91.079769,39.507728],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.993789,39.422959],[-90.940766,39.403984],[-90.928745,39.387544],[-90.904862,39.379403],[-90.893777,39.367343],[-90.8475,39.345272],[-90.816851,39.320496],[-90.793461,39.309498],[-90.751599,39.265432],[-90.72996,39.255894],[-90.717113,39.213912],[-90.707902,39.15086],[-90.686051,39.117785],[-90.681086,39.10059],[-90.681994,39.090066],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.675949,38.96214],[-90.657254,38.92027],[-90.639917,38.908272],[-90.625122,38.888654],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.486974,38.925982],[-90.482419,38.94446],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.176309,38.754449],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18641,38.67475],[-90.181325,38.660381],[-90.17801,38.63375],[-90.18451,38.611551],[-90.196011,38.594451],[-90.222112,38.576451],[-90.260314,38.528352],[-90.285215,38.443453],[-90.295316,38.426753],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.353902,38.213855],[-90.331554,38.18758],[-90.290765,38.170453],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.158533,38.074735],[-90.130788,38.062341],[-90.126612,38.043981],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.051357,38.003584],[-90.03241,37.995258],[-90.00011,37.964563],[-89.978919,37.962791],[-89.942099,37.970121],[-89.933797,37.959143],[-89.925085,37.960021],[-89.932467,37.947497],[-89.959646,37.940196],[-89.974918,37.926719],[-89.952499,37.883218],[-89.923185,37.870672],[-89.901832,37.869822],[-89.844786,37.905572],[-89.799333,37.881517],[-89.796087,37.859505],[-89.786369,37.851734],[-89.782035,37.855092],[-89.739873,37.84693],[-89.71748,37.825724],[-89.669644,37.799922],[-89.660227,37.781032],[-89.667993,37.759484],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.612478,37.740036],[-89.596566,37.732886],[-89.583316,37.713261],[-89.516685,37.692762],[-89.51204,37.680985],[-89.517718,37.641217],[-89.478399,37.598869],[-89.47603,37.590226],[-89.486062,37.580853],[-89.519808,37.582748],[-89.521925,37.560735],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.489005,37.333368],[-89.511842,37.310825],[-89.51834,37.285497],[-89.489915,37.251315],[-89.470525,37.253357],[-89.458827,37.248661],[-89.467631,37.2182],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.375712,37.080505],[-89.384681,37.048251],[-89.362397,37.030156],[-89.322982,37.01609],[-89.29213,36.992189],[-89.278628,36.98867],[-89.263527,37.00005],[-89.257608,37.015496],[-89.260003,37.023288],[-89.304752,37.047565],[-89.310819,37.057897],[-89.30829,37.068371],[-89.259936,37.064071],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.192097,36.979995],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.109498,36.976563],[-89.099594,36.964543],[-89.100762,36.944002],[-89.117567,36.887356],[-89.131944,36.857437],[-89.137969,36.847349],[-89.1704,36.841522],[-89.178888,36.831368],[-89.179229,36.812915],[-89.171069,36.798119],[-89.155891,36.789126],[-89.12353,36.785309],[-89.116563,36.767557],[-89.126134,36.751735],[-89.166888,36.759633],[-89.184523,36.753638],[-89.197808,36.739412],[-89.19948,36.716045],[-89.169522,36.688878],[-89.169467,36.674596],[-89.15908,36.666352],[-89.197654,36.628936],[-89.202607,36.601576],[-89.217447,36.576159],[-89.236542,36.566824],[-89.258318,36.564948],[-89.278935,36.577699],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.382762,36.583603],[-89.41977,36.493896],[-89.448468,36.46442],[-89.464153,36.457189],[-89.486215,36.46162],[-89.494248,36.475972],[-89.465888,36.529946],[-89.467761,36.546847],[-89.479093,36.568206],[-89.500076,36.576305],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571241,36.547343],[-89.560344,36.525436],[-89.519501,36.475419],[-89.523427,36.456572],[-89.543406,36.43877],[-89.545255,36.427079],[-89.509722,36.373626],[-89.519,36.3486],[-89.545006,36.336809]]]},\"properties\":{\"name\":\"Missouri\",\"nation\":\"USA \"}}]}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9dfe4b0c8380cd484d5","contributors":{"authors":[{"text":"Brown, H.E.","contributorId":33141,"corporation":false,"usgs":true,"family":"Brown","given":"H.E.","email":"","affiliations":[],"preferred":false,"id":453018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yates, K.F.","contributorId":99399,"corporation":false,"usgs":true,"family":"Yates","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":453024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietrich, G.","contributorId":34745,"corporation":false,"usgs":true,"family":"Dietrich","given":"G.","email":"","affiliations":[],"preferred":false,"id":453019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacMillan, K.","contributorId":75784,"corporation":false,"usgs":true,"family":"MacMillan","given":"K.","email":"","affiliations":[],"preferred":false,"id":453021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, C.B.","contributorId":24592,"corporation":false,"usgs":true,"family":"Graham","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":453015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reese, S.M.","contributorId":103897,"corporation":false,"usgs":true,"family":"Reese","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":453025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Helterbrand, Wm. S.","contributorId":89374,"corporation":false,"usgs":true,"family":"Helterbrand","given":"Wm. S.","affiliations":[],"preferred":false,"id":453023,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicholson, W.L.","contributorId":84591,"corporation":false,"usgs":true,"family":"Nicholson","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":453022,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blount, K.","contributorId":9894,"corporation":false,"usgs":true,"family":"Blount","given":"K.","email":"","affiliations":[],"preferred":false,"id":453014,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mead, P.S.","contributorId":32753,"corporation":false,"usgs":true,"family":"Mead","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":453017,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Patrick, S.L.","contributorId":47607,"corporation":false,"usgs":true,"family":"Patrick","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":453020,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eisen, R.J.","contributorId":31600,"corporation":false,"usgs":true,"family":"Eisen","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":453016,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70034733,"text":"70034733 - 2011 - Statistical models of temperature in the Sacramento-San Joaquin delta under climate-change scenarios and ecological implications","interactions":[],"lastModifiedDate":"2018-06-08T13:44:54","indexId":"70034733","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Statistical models of temperature in the Sacramento-San Joaquin delta under climate-change scenarios and ecological implications","docAbstract":"Changes in water temperatures caused by climate change in California’s Sacramento–San Joaquin Delta will affect the ecosystem through physiological rates of fishes and invertebrates. This study presents statistical models that can be used to forecast water temperature within the Delta as a response to atmospheric conditions. The daily average model performed well (R 2values greater than 0.93 during verification periods) for all stations within the Delta and San Francisco Bay provided there was at least 1 year of calibration data. To provide long-term projections of Delta water temperature, we forced the model with downscaled data from climate scenarios. Based on these projections, the ecological implications for the delta smelt, a key species, were assessed based on temperature thresholds. The model forecasts increases in the number of days above temperatures causing high mortality (especially along the Sacramento River) and a shift in thermal conditions for spawning to earlier in the year.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-010-9369-z","issn":"15592723","usgsCitation":"Wagner, R., Stacey, M., Brown, L.R., and Dettinger, M., 2011, Statistical models of temperature in the Sacramento-San Joaquin delta under climate-change scenarios and ecological implications: Estuaries and Coasts, v. 34, no. 3, p. 544-556, https://doi.org/10.1007/s12237-010-9369-z.","productDescription":"13 p.","startPage":"544","endPage":"556","numberOfPages":"13","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":475211,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-010-9369-z","text":"Publisher Index Page"},{"id":243578,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-01","publicationStatus":"PW","scienceBaseUri":"505b9705e4b08c986b31b834","contributors":{"authors":[{"text":"Wagner, R.W.","contributorId":48784,"corporation":false,"usgs":true,"family":"Wagner","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":447273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stacey, Mark T.","contributorId":94531,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark T.","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":447274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":447275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":447276,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034098,"text":"70034098 - 2011 - Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034098","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States","docAbstract":"Invasive species are regularly claimed as the second threat to biodiversity. To apply a relevant response to the potential consequences associated with invasions (e.g., emphasize management efforts to prevent new colonization or to eradicate the species in places where it has already settled), it is essential to understand invasion mechanisms and dynamics. Quantifying and understanding what influences rates of spatial spread is a key research area for invasion theory. In this paper, we develop a model to account for occupancy dynamics of an invasive species. Our model extends existing models to accommodate several elements of invasive processes; we chose the framework of hierarchical modeling to assess site occupancy status during an invasion. First, we explicitly accounted for spatial structure and how distance among sites and position relative to one another affect the invasion spread. In particular, we accounted for the possibility of directional propagation and provided a way of estimating the direction of this possible spread. Second, we considered the influence of local density on site occupancy. Third, we decided to split the colonization process into two subprocesses, initial colonization and recolonization, which may be ground-breaking because these subprocesses may exhibit different relationships with environmental variations (such as density variation) or colonization history (e.g., initial colonization might facilitate further colonization events). Finally, our model incorporates imperfection in detection, which might be a source of substantial bias in estimating population parameters. We focused on the case of the Eurasian Collared-Dove (Streptopelia decaocto) and its invasion of the United States since its introduction in the early 1980s, using data from the North American BBS (Breeding Bird Survey). The Eurasian Collared-Dove is one of the most successful invasive species, at least among terrestrial vertebrates. Our model provided estimation of the spread direction consistent with empirical observations. Site persistence probability exhibits a quadratic response to density. We also succeeded at detecting differences in the relationship between density and initial colonization vs. recolonization probabilities. We provide a map of sites that may be colonized in the future as an example of possible practical application of our work. ?? 2011 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/09-1877.1","issn":"10510761","usgsCitation":"Bled, F., Royle, J., and Cam, E., 2011, Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States: Ecological Applications, v. 21, no. 1, p. 290-302, https://doi.org/10.1890/09-1877.1.","startPage":"290","endPage":"302","numberOfPages":"13","costCenters":[],"links":[{"id":216840,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1877.1"},{"id":244736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a309ce4b0c8380cd5d7bc","contributors":{"authors":[{"text":"Bled, F.","contributorId":41676,"corporation":false,"usgs":true,"family":"Bled","given":"F.","affiliations":[],"preferred":false,"id":444067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":444068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cam, E.","contributorId":12952,"corporation":false,"usgs":true,"family":"Cam","given":"E.","affiliations":[],"preferred":false,"id":444066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036441,"text":"70036441 - 2011 - High-resolution three-dimensional imaging and analysis of rock falls in Yosemite valley, California","interactions":[],"lastModifiedDate":"2018-09-27T11:03:37","indexId":"70036441","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution three-dimensional imaging and analysis of rock falls in Yosemite valley, California","docAbstract":"We present quantitative analyses of recent large rock falls in Yosemite Valley, California, using integrated high-resolution imaging techniques. Rock falls commonly occur from the glacially sculpted granitic walls of Yosemite Valley, modifying this iconic landscape but also posing significant potential hazards and risks. Two large rock falls occurred from the cliff beneath Glacier Point in eastern Yosemite Valley on 7 and 8 October 2008, causing minor injuries and damaging structures in a developed area. We used a combination of gigapixel photography, airborne laser scanning (ALS) data, and ground-based terrestrial laser scanning (TLS) data to characterize the rock-fall detachment surface and adjacent cliff area, quantify the rock-fall volume, evaluate the geologic structure that contributed to failure, and assess the likely failure mode. We merged the ALS and TLS data to resolve the complex, vertical to overhanging topography of the Glacier Point area in three dimensions, and integrated these data with gigapixel photographs to fully image the cliff face in high resolution. Three-dimensional analysis of repeat TLS data reveals that the cumulative failure consisted of a near-planar rock slab with a maximum length of 69.0 m, a mean thickness of 2.1 m, a detachment surface area of 2750 m2, and a volume of 5663 ± 36 m3. Failure occurred along a surface-parallel, vertically oriented sheeting joint in a clear example of granitic exfoliation. Stress concentration at crack tips likely propagated fractures through the partially attached slab, leading to failure. Our results demonstrate the utility of high-resolution imaging techniques for quantifying far-range (>1 km) rock falls occurring from the largely inaccessible, vertical rock faces of Yosemite Valley, and for providing highly accurate and precise data needed for rock-fall hazard assessment.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00617.1","issn":"1553040X","usgsCitation":"Stock, G.M., Bawden, G.W., Green, J., Hanson, E., Downing, G., Collins, B.D., Bond, S., and Leslar, M., 2011, High-resolution three-dimensional imaging and analysis of rock falls in Yosemite valley, California: Geosphere, v. 7, no. 2, p. 573-581, https://doi.org/10.1130/GES00617.1.","productDescription":"9 p.","startPage":"573","endPage":"581","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":475299,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00617.1","text":"Publisher Index Page"},{"id":246162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218177,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00617.1"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a313ae4b0c8380cd5dd3f","contributors":{"authors":[{"text":"Stock, Gregory M.","contributorId":7493,"corporation":false,"usgs":true,"family":"Stock","given":"Gregory","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":456175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":456179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, J.K.","contributorId":93746,"corporation":false,"usgs":true,"family":"Green","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":456181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, E.","contributorId":23796,"corporation":false,"usgs":true,"family":"Hanson","given":"E.","email":"","affiliations":[],"preferred":false,"id":456177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downing, G.","contributorId":69828,"corporation":false,"usgs":true,"family":"Downing","given":"G.","email":"","affiliations":[],"preferred":false,"id":456180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":456178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":3328,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":456182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leslar, M.","contributorId":17862,"corporation":false,"usgs":true,"family":"Leslar","given":"M.","email":"","affiliations":[],"preferred":false,"id":456176,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70032362,"text":"70032362 - 2011 - Linking landscape characteristics to local grizzly bear abundance using multiple detection methods in a hierarchical model","interactions":[],"lastModifiedDate":"2017-10-25T13:35:21","indexId":"70032362","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Linking landscape characteristics to local grizzly bear abundance using multiple detection methods in a hierarchical model","docAbstract":"Few studies link habitat to grizzly bear Ursus arctos abundance and these have not accounted for the variation in detection or spatial autocorrelation. We collected and genotyped bear hair in and around Glacier National Park in northwestern Montana during the summer of 2000. We developed a hierarchical Markov chain Monte Carlo model that extends the existing occupancy and count models by accounting for (1) spatially explicit variables that we hypothesized might influence abundance; (2) separate sub-models of detection probability for two distinct sampling methods (hair traps and rub trees) targeting different segments of the population; (3) covariates to explain variation in each sub-model of detection; (4) a conditional autoregressive term to account for spatial autocorrelation; (5) weights to identify most important variables. Road density and per cent mesic habitat best explained variation in female grizzly bear abundance; spatial autocorrelation was not supported. More female bears were predicted in places with lower road density and with more mesic habitat. Detection rates of females increased with rub tree sampling effort. Road density best explained variation in male grizzly bear abundance and spatial autocorrelation was supported. More male bears were predicted in areas of low road density. Detection rates of males increased with rub tree and hair trap sampling effort and decreased over the sampling period. We provide a new method to (1) incorporate multiple detection methods into hierarchical models of abundance; (2) determine whether spatial autocorrelation should be included in final models. Our results suggest that the influence of landscape variables is consistent between habitat selection and abundance in this system.
","language":"English","publisher":"ZSL","doi":"10.1111/j.1469-1795.2011.00471.x","issn":"13679430","usgsCitation":"Graves, T., Kendall, K.C., Royle, J., Stetz, J., and Macleod, A., 2011, Linking landscape characteristics to local grizzly bear abundance using multiple detection methods in a hierarchical model: Animal Conservation, v. 14, no. 6, p. 652-664, https://doi.org/10.1111/j.1469-1795.2011.00471.x.","productDescription":"13 p.","startPage":"652","endPage":"664","numberOfPages":"13","ipdsId":"IP-016643","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":241611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213936,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2011.00471.x"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-07-05","publicationStatus":"PW","scienceBaseUri":"505a47d6e4b0c8380cd679f6","contributors":{"authors":[{"text":"Graves, T.A.","contributorId":93286,"corporation":false,"usgs":true,"family":"Graves","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":435787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Katherine C. 0000-0002-4831-2287 kkendall@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-2287","contributorId":3081,"corporation":false,"usgs":true,"family":"Kendall","given":"Katherine","email":"kkendall@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":435784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":435788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stetz, J.B.","contributorId":74207,"corporation":false,"usgs":true,"family":"Stetz","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":435786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Macleod, A.C.","contributorId":41660,"corporation":false,"usgs":true,"family":"Macleod","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":435785,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033905,"text":"70033905 - 2011 - Process-based, morphodynamic hindcast of decadal deposition patterns in San Pablo Bay, California, 1856-1887","interactions":[],"lastModifiedDate":"2017-10-30T13:01:39","indexId":"70033905","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Process-based, morphodynamic hindcast of decadal deposition patterns in San Pablo Bay, California, 1856-1887","docAbstract":"This study investigates the possibility of hindcasting-observed decadal-scale morphologic change in San Pablo Bay, a subembayment of the San Francisco Estuary, California, USA, by means of a 3-D numerical model (Delft3D). The hindcast period, 1856-1887, is characterized by upstream hydraulic mining that resulted in a high sediment input to the estuary. The model includes wind waves, salt water and fresh water interactions, and graded sediment transport, among others. Simplified initial conditions and hydrodynamic forcing were necessary because detailed historic descriptions were lacking. Model results show significant skill. The river discharge and sediment concentration have a strong positive influence on deposition volumes. Waves decrease deposition rates and have, together with tidal movement, the greatest effect on sediment distribution within San Pablo Bay. The applied process-based (or reductionist) modeling approach is valuable once reasonable values for model parameters and hydrodynamic forcing are obtained. Sensitivity analysis reveals the dominant forcing of the system and suggests that the model planform plays a dominant role in the morphodynamic development. A detailed physical explanation of the model outcomes is difficult because of the high nonlinearity of the processes. Process formulation refinement, a more detailed description of the forcing, or further model parameter variations may lead to an enhanced model performance, albeit to a limited extent. The approach potentially provides a sound basis for prediction of future developments. Parallel use of highly schematized box models and a process-based approach as described in the present work is probably the most valuable method to assess decadal morphodynamic development. Copyright ?? 2011 by the American Geophysical Union.","language":"English","publisher":"AGU Publications","doi":"10.1029/2009JF001614","issn":"01480227","usgsCitation":"van der Wegen, M., Jaffe, B.E., and Roelvink, J., 2011, Process-based, morphodynamic hindcast of decadal deposition patterns in San Pablo Bay, California, 1856-1887: Journal of Geophysical Research F: Earth Surface, v. 116, no. F2, Article F02008; 22 p., https://doi.org/10.1029/2009JF001614.","productDescription":"Article F02008; 22 p.","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":487736,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jf001614","text":"Publisher Index Page"},{"id":242141,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","volume":"116","issue":"F2","noUsgsAuthors":false,"publicationDate":"2011-04-22","publicationStatus":"PW","scienceBaseUri":"505a8d8ce4b0c8380cd7ecac","contributors":{"authors":[{"text":"van der Wegen, M.","contributorId":106720,"corporation":false,"usgs":true,"family":"van der Wegen","given":"M.","affiliations":[],"preferred":false,"id":443116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, B. E.","contributorId":88327,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":443114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, J.A.","contributorId":92421,"corporation":false,"usgs":true,"family":"Roelvink","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":443115,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032355,"text":"70032355 - 2011 - Origin of minor and trace element compositional diversity in anorthitic feldspar phenocrysts and melt inclusions from the Juan de Fuca Ridge","interactions":[],"lastModifiedDate":"2013-03-25T11:20:43","indexId":"70032355","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Origin of minor and trace element compositional diversity in anorthitic feldspar phenocrysts and melt inclusions from the Juan de Fuca Ridge","docAbstract":"Melt inclusions trapped in phenocryst phases are important primarily due to their potential of preserving a significant proportion of the diversity of magma composition prior to modification of the parent magma array during transport through the crust. The goal of this investigation was to evaluate the impact of formational and post-entrapment processes on the composition of melt inclusions hosted in high anorthite plagioclase in MORB. Our observations from three plagioclase ultra-phyric lavas from the Endeavor Segment of the Juan de Fuca Ridge document a narrow range of major elements and a dramatically greater range of minor and trace elements within most host plagioclase crystals. Observed host/inclusion partition coefficients for Ti are consistent with experimental determinations. In addition, observed values of DTi are independent of inclusion size and inclusion TiO2 content of the melt inclusion. These observations preclude significant effects from the re-homogenization process, entrapment of incompatible element boundary layers or dissolution/precipitation. The observed wide range of TiO2 contents in the host feldspar, and between bands of melt inclusions within individual crystals rule out modification of TiO